Research

RAAS Focus Domains

RAAS focuses on areas of opportunity in the following autonomous systems application fields:

Reasearch framework
  1. Marine transport and port operations
    Fluent supply chains enabled by autonomous operations
  2. Urban transport
    Quick and easy-to-use door-to-door mobility enabled by highly automated chains of various means of transport
  3. Unmanned air, water, land and space systems
    Novel solutions for efficient asset, logistics and safety & security management
  4. Inter-urban transport
    Safe and fluent traffic with autonomous highway, air and rail solutions
  5. Mobile machinery
    Sustainable productivity in harvesting natural resources through remote-controlled and autonomous systems
  6. Rural transport
    Automated and combined people and goods transport service solutions

Research framework

RAAS members, with representatives from 35 companies and 20 public organizations, have together realized a research framework for autonomous systems research and development, summarized below.
For a more detailed description of our research framework themes, please contact RAAS.

Key research themes for RAAS

OVERARCHING RESEARCH THEMES:
– Ethical, Acceptability & Desirability Aspects
– Regulation, Liability and Insurance & Legal Governance
– AI & Big Data Analytics
– KPIs & Impact Assessment

SPECIFIC RESEARCH THEMES AND THEIR SUBTHEMES:
- Business and Transition Enabled by Autonomous Systems

Design and Performance of Autonomous Supply Chains

Digital Business Platforms

Co-creation by Autonomous-ready Organizations

Service Business

- Operational Design and Development Processes

ConOps for Different Autonomy Levels

Active Safety and Risk Management

Development Process Practices

Vehicle/Machine Design

Swarm Operations

Human Factors Engineering

- Technical Capabilities Required for Autonomous Systems

Technology R&D is based on agile pilots with human-and-hardware-in-the-loop simulations and real-world experiments

Situational Awareness

Autonomous Navigation, Decision-making and Control

Connectivity

Cyber Security

Remote Monitoring and Operation

Reliability and Maintenance of Autonomous Systems

RAAS Research Task Forces

Based on the key research themes defined above, RAAS is organized around the following nine Research Task Forces (RTFs):

  1. Ethical, Acceptability, Desirability & Impact Assessment RTF
  2. Legal RTF
  3. Business RTF
  4. Operational Design & Development Processes RTF
  5. Situational Awareness & Intelligent Control RTF
  6. Connectivity RTF
  7. Cyber-security RTF
  8. Remote Monitoring and Operation & Reliability and Maintenance RTF
  9. Artificial Intelligence & Data-Intensive Analytics RTF

When a partner company contacts a Research Task Force, a researcher team is set up for the company to develop the issue further. The contact points for these RTFs can be found from the Contact page.

The Alliance

RAAS-related publications

A list of some of the publications of RAAS members:

  • Tsvetkova, A., Hellström, M., & Ringbom, H. (2021). Creating value through product-service-software systems in institutionalized ecosystems–The case of autonomous ships. Industrial Marketing Management99, 16-27.
  • V. Vuorimaa, E. Heikkilä, H. Karvonen, K. Koskinen & J. Laitinen, (2020), ”Factors Affecting the Organizational Readiness to Design Autonomous Machine Systems: Towards an Evaluation Framework”. Proceedings of SAI Intelligent Systems Conference, Springer, Cham, pp. 742-747.
  • H. Karvonen, E. Heikkilä & M. Wahlström 2020, “Safety Challenges of AI in Autonomous Systems Design – Solutions from Human Factors Perspective Emphasizing AI Awareness”. D. Harris and W.-C. Li (Eds.): HCII 2020: Engineering Psychology and Cognitive Ergonomics, Cognition and Design, LNAI 12187, pp. 147–160.
  • T. Salonen, M. Wahlström & H. Karvonen, 2020, “Designing a remote-pilotage system: work styles to be considered”. Transport Research Arena 2020, Helsinki, Finland. (Conference canceled)
  • Chaal, M., Valdez Banda, O. A. V., Glomsrud, J. A., Basnet, S., Hirdaris, S., & Kujala, P. (2020). A framework to model the STPA hierarchical control structure of an autonomous ship. Safety Science, 132, 104939.
  • Heikkilä, E., Malm, T., Tiusanen, R., & Ahonen, T. (2020). Safety and dependability of autonomous systems in container terminals: Challenges and research directions. In K. Berns, M. Helfert, & O. Gusikhin (Eds.), VEHITS 2020 – Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems (Vol. 1, pp. 528-534). SciTePress.
  • Tiusanen, R., Malm, T., & Ronkainen, A. (2020). An overview of current safety requirements for autonomous machines – review of standards. Open Engineering, 10(1), 665-673.
  • Salami, E. (2020). Europe’s Readiness for the AI Takeover: Some Salient Points and Comments from the EC’s White Paper on AI. Computer and telecommunications law review 5(26), pp.124-125.
  • Salami, E. (2020). Autonomous Transport Vehicles vs The Principles of Data Protection Law: Is Compatibility Really an Impossibility? International Data Privacy Law Journal, Forthcoming.
  • Aas, T.H., Breunig, K.J., Hellström, M., Hydle, K. (2020): Service-oriented business models in manufacturing in the digital era: toward a new taxonomy. International Journal of Innovation Management, forthcoming. DOI: https://doi.org/10.1142/S1363919620400022
  • Co-Change ecosystem report D.1.2. Institutional environment and ecosystem analysis report.
  • Nikolaos Passalis, Jenni Raitoharju, Anastasios Tefas, and Moncef Gabbouj, “Efficient adaptive inference for deep convolutional neural networks using hierarchical early exits,” Pattern Recognition, September 2020, DOI: 10.1016/j.patcog.2020.107346.
  • Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas, “Recurrent bag-of-features for visual information analysis,” Pattern Recognition, no. 106, vol. 107380, Oct 2020, https://doi.org/10.1016/j.patcog.2020.107380.
  • Dat Thanh Tran, Mehmet Yamac, Aysen Degerli, Moncef Gabbouj, and Alexandros Iosifidis, “Multilinear compressive learning,” IEEE Transactions on Neural Networks and Learning Systems, accepted 2020.
  • Serkan Kiranyaz, Morteza Zabihi, Ali Bahrami Rad, Turker Ince, Ridha Hamila, Moncef Gabbouj, “Real-time Phonocardiogram Anomaly Detection by Adaptive 1D Convolutional Neural Networks,” Neurocomputing, 19 May 2020, https://doi.org/10.1016/j.neucom.2020.05.063.
  • Serkan Kiranyaz; Onur Avci; Osama Abdeljaber; Turker Ince; Moncef Gabbouj; Daniel Inman, ”1D Convolutional Neural Networks and Applications – A Survey,” Mechanical Systems and Signal Processing, accepted 2020.
  • Serkan Kiranyaz, Junaid Malik, Habib Ben Abdallah, Turker Ince, Alexandros Iosifidis and Moncef Gabbouj, “Self-Organized Operational Neural Networks with Generative Neurons,” http://arxiv.org/abs/2004.11778.
  • Firas Laakom, Nikolaos Passalis, Jenni Raitoharju, Jarno Nikkanen, Anastasios Tefas, Alexandros Iosifidis, and Moncef Gabbouj, ”Bag of Color Features For Color Constancy,” IEEE Transactions on Image Processing, Vol. 29, pp. 7722-7734, DOI: 10.1109/TIP.2020.30049212020.
  • Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, and Moncef Gabbouj, ” Ellipsoidal Subspace Support Vector Data Description,” IEEE Access, Volume 8, DOI: 10.1109/ACCESS.2020.3007123, July 2020, pp. 122013-122025.
  • Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj & Alexandros Iosifidis, “Variance-preserving Deep Metric Learning for Content-based Image Retrieval,” IEEE Transactions on Neural Networks and Learning Systems, Sept 2020, Volume: 31, Issue: 9, Page(s): 3760-3765, DOI: 10.1109/TNNLS.2019.2944933.
  • Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj, “Speed-up and Multi-view Extensions to Subclass Discriminant Analysis,” Pattern Recognition (2020), doi: https://doi.org/10.1016/j.patcog.2020.107660.
  • Mehmmet Yamac, Mete Ahishali, Nikolaos Passalis, Jenni Raitoharju, Bulent Sankur, and Moncef Gabbouj, “Multi-Level Reversible Data Anonymization via Compressive Sensing and Data Hiding,” IEEE Transactions on Information Forensics and Security, vol. 16, pp. 1014-1028, 2021.
  • Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, and Moncef Gabbouj, ”Multimodal Subspace Support Vector Data Description,” Pattern Recognition (2020), https://doi.org/10.1016/j.patcog.2020.107648.
  • Jorge Peña Queralta, Jussi Taiplamaa, Bilge Can Pullinen, Victor Kathan Sarker, Tuan Nguyen Gia, Hanuus Tenhunen, Moncef Gabbouj, Jenni Raitoharju, and Tomi Westerlund, “Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception and Active Vision,” IEEE Access (accepted 2020).
  • Yupeng Ma, Xiaoyue Jiang, Zhaoqiang Xia, Moncef Gabbouj and Xiaoyi Feng, “CasQNet: Intrinsic Image Decomposition Based on Cascaded Quotient Network,” IEEE Transactions on Circuits and Systems for Video Technology, accepted 2020.
  • Mete Ahishali, Serkan Kiranyaz, Turker Ince, Moncef Gabbouj, “Classification of Polarimetric SAR Images Using Compact Convolutional Neural Networks,” GIScience Remote Sensing, November 2020, accepted.
  • Onur Avci, Osama Abdeljaber, Serkan Kiranyaz, Mohammed Hussein, Moncef Gabbouj, Daniel J. Inman, “A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications, Mechanical Systems and Signal Processing, volume 147, Jan 2021, 107077.
  • Serkan Kiranyaz, Aysen Degerli, Tahir Hamid, Rashid Mazhar, Rayyan El Fadil Ahmed, Rayyan Abouhasera, Morteza Zabihi, Junaid Malik, Ridha Hamila, and Moncef Gabbouj, “Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection,” IEEE Access, accepted 2020, arXiv preprint arXiv:2008.04615.
  • Pan, Y., Dai, W., Xiang, S., Mikkola, A., Tree-Topology-Oriented Modeling for the Real-Time Simulation of Sedan Vehicle Dynamics Using Independent Coordinates and the Rod-Removal Technique, Mechanism and Machine Theory, 2020, 143, Article number 103626.
  • Choi, H.-S., An, J., Han, S., Kim, J.-G., Jung, J.-Y., Choi, J., Orzechowski, G., Mikkola, A., and Choi, J.-H., Data-Driven Simulation for General-Purpose Multibody Dynamics Using Deep Neural Networks, Multibody System Dynamics, in printing.
  • Kurinov, I., Orzechowski, G., Hämäläinen, P., and Mikkola, A. Automated Excavator Based on Reinforcement Learning and Multibody System Dynamics, IEEE Access, in printing.
  • Pan, Y., Dai, W., Huang, L., Li, Z., and Mikkola, A., Iterative Refinement Algorithm for Effective Velocities and Accelerations Solutions in Closed-Loop Multibody Dynamics, Mechanical Systems and Signal Processing, in printing.
  • J. Urama, R. Wiren, O. Galinina, J. Kauppi, K. Hiltunen, J. Erkkilä, F. Chernogorov, P. Eteläaho, M. Heikkilä, J. Torsner, S. Andreev, M. Valkama, “UAV-Aided Interference Assessment for Private 5G NR Deployments: Challenges and Solutions”, 2020, 58th IEEE Communications Magazine.
  • Grahn, H., Kujala, T., Silvennoinen, J., Leppänen, A. & Saariluoma, P. (2020). Expert drivers’ prospective thinking-aloud to enhance automated driving technologies – Investigating uncertainty and anticipation in traffic. Accident Analysis & Prevention, 146, 105717. https://doi.org/10.1016/j.aap.2020.105717
  • “Autonomous and remote controlled vessels – How will the risk be assessed by hull underwriters?” 2019. Book of Proceedings: 1st International Conference of Maritime Science & Technology Nase More, 2019, Dubrovnik 17-18.10.2019. Peter Sandell
  • “Autonomous vessels- A Ship Master´s status now and in the future”. Book of Proceedings: 1st International Conference of Maritime Science & Technology Nase More, 2019, Dubrovnik 17-18.10.2019. Ninna Roos.
  • “Nordic marine Insurance Plan and Nordic Offshore and maritime Arbitration (NOMA) – Effective solution for autonomous vessels.” International Congress of maritime Arbitrators ICMA XXI, Rio de Janeiro 2020, Book of proceedings. Peter Sandell.
  • “Risk assessment and marine insurance clauses for autonomous vessels.”. IAME online conference Hong Kong, 2020. Peter Sandell.
  • “How to reduce manning costs with increasing technological solutions and to comply with STCW standards?”. IAME online conference Hong Kong, 2020, Ninna Roos – Peter Sandell.
  • “STCW-convention and future of joint curriculums for autonomous and remotely operated vessels in Maritime education and training (MET)”. Maritime Transport Conference Barcelona 2020, Ninna Roos – Peter Sandell. Book of Proceedings
  • “Risk management, Marine insurance and charterparties – Formulating the research needs for autonomous vessels in Maritime Universities”. Maritime Transport Conference Barcelona 2020, Ninna Roos – Peter Sandell. Book of Proceedings.
  • Avellan, T., Sharma, S., & Turunen, M. (2020, January). AI for all: defining the what, why, and how of inclusive AI. In Proceedings of the 23rd International Conference on Academic Mindtrek (pp. 142-144).
  • Fröhlich, P., Baldauf, M., Palanque, P., Roto, V., Meneweger, T., Tscheligi, M., … & Paternò, F. (2020, April). “Automation Experience across Domains: Designing for Intelligibility, Interventions, Interplay and Integrity”. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1-8).
  • Roto, V.: Käyttäjäkokemusten muotoilu älykkäässä ja eettisessä teollisuudessa. Hyväksytty luku käsikirjaan Muotoilun avaimet älykkääseen teollisuuteen ja liiketoiminnan ketterään kehittämiseen. Teknologiainfo Teknova, 2021.
  • Vakkuri, V., Kemell, K. K., Kultanen, J., & Abrahamsson, P. (2020). The Current State of Industrial Practice in Artificial Intelligence Ethics. IEEE Software. (https://jyx.jyu.fi/handle/123456789/68453)
  • Alasaari K., Lahti J., Tiainen J., (2020). Kasvillisuusindeksidatan hankinnan vaihtoehdot viljanviljelyssä: Kokemuksia ja havaintoja Etelä-Pohjanmaalta. , In: Seinäjoen ammattikorkeakoulun julkaisusarja B. Raportteja ja selvityksiä, Seinäjoen ammattikorkeakoulu.
  • Ylinen H., Arkko J., Junell P., Juuti T. 2020. Application of Virtual Reality Technology in Mobile Work Machine Engineering Education. In: Engaging, engineering, education. Proceedings, SEFI 48th Annual Conference, European Society for Engineering Education SEFI.
  • L Ferranti, X Li, J Boutellier, J Kannala (2020). Can You Trust Your Pose? Confidence Estimation in Visual Localization. arXiv preprint arXiv:2010.00347, 2020
  • L Ferranti, K Åström, M Oskarsson, J Boutellier, J Kannala (2020). Sensor Networks TDOA Self-Calibration: 2D Complexity Analysis and Solutions. arXiv preprint arXiv:2005.10298, 2020
  • Säe, J., Wirén, R., Kauppi, J., Torsner, J., Andreev, S., & Valkama, M. (2020, June). Reliability of UAV Connectivity in Dual-MNO Networks: A Performance Measurement Campaign. In 2020 IEEE International Conference on Communications Workshops (ICC Workshops) (pp. 1-5). IEEE.
  • Miguel Calvo-Fullana, Alexander Pyattaev, Daniel Mox, Sergey Andreev, Alejandro Ribeiro: Communications and Robotics Simulation in UAVs: A Case Study on Aerial Synthetic Aperture Antenna. IEEE ComMag 2020.
  • Elizaveta Rastorgueva-Foi, Olga Galinina, Mário Costa, Mike Koivisto, Jukka Talvitie, Sergey Andreev, Mikko Valkama: Networking and Positioning Co-Design in Multi-Connectivity Industrial mmW Systems. IEEE TVT 2020.
  • C. Baquero Barneto, S. Liyanaarachchi, M. Heino, T. Riihonen, and M. Valkama, “Full-Duplex Radio/Radar Technology: The Enabler for Advanced Joint Communication and Sensing,” IEEE Wireless Communications Magazine, accepted, to appear, 2020.
  • C. Baquero Barneto, S. Liyanaarachchi, T. Riihonen, M. Heino, L. Anttila and M. Valkama, “Beamforming and Waveform Optimization for OFDM-based Joint Communications and Sensing at mm-Waves,” in Proc. ASILOMAR 2020
  • Barneto, C. B., Liyanaarachchi, S. D., Riihonen, T., Anttila, L., & Valkama, M. (2020, June). Multibeam design for joint communication and sensing in 5G New Radio networks. In ICC 2020-2020 IEEE International Conference on Communications (ICC) (pp. 1-6). IEEE.
  • Barneto, C. B., Riihonen, T., Turunen, M., Koivisto, M., Talvitie, J., & Valkama, M. (2020, June). Radio-based Sensing and Indoor Mapping with Millimeter-Wave 5G NR Signals. In 2020 International Conference on Localization and GNSS (ICL-GNSS) (pp. 1-5). IEEE.
  • Petrov, V., Yarkina, N., Moltchanov, D., Andreev, S., & Samouylov, K. (2020). Session-Level Reliability Analysis for Multi-Service Communication in Autonomous Vehicular Fleets. IEEE Access, 8, 174629-174642.
  • I.P.Paltor, S. A. Rashti, S. Lafond, J. Salokannel, J. Lilius, M. Salokorpi (2020) “Learning maritime surface ship navigation”. Conference report. Published in Proceedings of the 8th International Conference on Maritime Transport (Maritime Transport VIII), Barcelona, 17-18 September. (Available: https://upcommons.upc.edu/handle/2117/329714)
  • I.P.Paltor, S. A. Rashti, S. Lafond, J. Salokannel, J. Lilius, M. Salokorpi (2020) “On the Verification and Validation of AI Navigation Algorithms”. Conference paper presented in the OCEANS 2020 Singapore Technical Program, 11-14 August, Singapore. Not yet published.
  • Xu, L., Raitoharju, J., Iosifidis, A., & Gabbouj, M. (2020). Saliency-based Weighted Multi-label Linear Discriminant Analysis. arXiv preprint arXiv:2004.04221.
  • Concas, F., Nurminen, J.K., Mikkonen, T., and Tarkoma, S., “Validation Frameworks For Self-driving Vehicles: A Survey,” in Khan, A. (eds) “Smart Cities: A Data Analytics and Software Engineering Perspective,” Springer, September 2020
  • Halvari, T., Nurminen, J.K., and Mikkonen, T., “Testing the Robustness of AutoML Systems,” 1st Workshop on Agents and Robots for reliable Engineered Autonomy (AREA) at 24th European Conference on Artificial Intelligence (ECAI 2020), September 2020
  • Ruotsalainen, L., Renaudin, V., Pei, L. Piras, M., Marais, J., Cavalheri, E., Kaasalainen, S. (2020). Towards autonomous driving in arctic areas. IEEE ITS Magazine 12(3), pp. 10-24.
  • Tuomo Saarinen: Fairness in computational decision making, Pro-gradu, 2020.
  • Antti Rantapelkonen: Epävarmuus itseohjautuvan ajoneuvon päätöksenteossa – Liikenteen ennakointi Markovin päätöksentekoprosessiin perustuvien menetelmien avulla (Uncertainty in decision making in autonomous vehicles – Traffic estimation via Markov decision process methods), Pro-gradu, 2020.
  • Jesse Anttila: City-scale visual SLAM, Pro-gradu, 2020.
  • H. Ringbom, ‘Legalizing Autonomous Ships’, Ocean Yearbook 34, Brill, Leiden, 2019, pp. 431-460 (forthcoming)
  • H. Ringbom, Co-editor of and co-author of introductory chapter in H. Ringbom, E. Røsæg, T. Solvang (eds.) Autonomous Ships – Legal Issues, Routledge, Taylor & Francis Group, London/New York 2020 (ISBN 978-0-367-46710-4, 978-1-003-05656-0)
  • H. Ringbom, F. Collin, ‘Terminology and Concepts’, in H. Ringbom, E. Røsæg, T. Solvang (eds.) Autonomous Ships – Legal Issues, Routledge, Taylor & Francis Group, London/New York 2020 (ISBN 978-0-367-46710-4, 978-1-003-05656-0). pp. 7-20
  • H. Ringbom, ‘Developments, Challenges and Prospects at IMO’, in H. Ringbom, E. Røsæg, T. Solvang (eds.) Autonomous Ships – Legal Issues, Routledge, Taylor & Francis Group, London/New York 2020 (ISBN 978-0-367-46710-4, 978-1-003-05656-0), pp. 56-68
  • F. Collin, ‘Unmanned Ships and Fault as the Basis of Shipowner’s Liability’, in H. Ringbom, E. Røsæg, T. Solvang (eds.) Autonomous Ships – Legal Issues, Routledge, Taylor & Francis Group, London/New York 2020 (ISBN 978-0-367-46710-4, 978-1-003-05656-0), pp. 85-97
  • M. Viljanen, ‘Insuring Autonomous Vessels – Scoping the Issues’ in H. Ringbom, E. Røsæg, T. Solvang (eds.) Autonomous Ships – Legal Issues, Routledge, Taylor & Francis Group, London/New York 2020 (ISBN 978-0-367-46710-4, 978-1-003-05656-0). pp. 207-221
  • Lahtinen, J., Banda, O. A. V., Kujala, P., & Hirdaris, S. (2020). Remote piloting in an intelligent fairway–A paradigm for future pilotage. Safety Science, 130, 104889.
  • M. Huttunen Safety and Security of Unmanned Aircraft Systems : Legislating Sociotechnical Change in Civil Aviation (PhD thesis) https://lauda.ulapland.fi/handle/10024/64460
  • Pyykkö, H., Kuusijärvi, J, Silverajan, B., Hinkka, V. (2020) The Cyber Threat Preparedness in the Maritime Logistics Industry, to appear at TRA2020, conf. cancelled
  • Miia Martinsuo, Magnus Hellström, Sanna-Katriina Asikainen, Marko Kohtamäki, Harri Pyykkö, Antti Saurama, Arho Suominen, Pekka Töytäri, Tiina Valjakka. Autonomiset järjestelmät ja teknologiayritysten liiketoiminnan muutos. RAAS Research Alliance for Autonomous Systems, Business Research Task Force White Paper, August 2020.
  • Mika Vainio, Laura Ruotsalainen, Osiris Valdez Banda, Juha Röning, Jukka Laitinen, Jani Boutellier, Sami Koskinen, Pertti Peussa, Ahm Shamsuzzoha, Ahmad Bahoo Toroody, Vadim Kramar, Arto Visala, Reza Ghabcheloo, Kalevi Huhtala, Rathan Alagirisamy. Safety Challenges of Autonomous Mobile Systems in Dynamic Unstructured Environments: Situational awareness, decision-making, autonomous navigation, & human-machine interface. RAAS Rethinking Autonomy and Safety ecosystem, SAANIC Research Task Force White Paper, November 2020
  • Huotari J., Ritari A., Vepsäläinen J. & Tammi K. Hybrid Ship Unit Commitment with Demand Prediction and Model Predictive Control. Energies. 2020. 21 p.
  • Ritari A., Huotari J., Halme J. & Tammi K. Hybrid electric topology for short sea ships with high auxiliary power availability requirement. Energy. Volume 190. 2020. 10.1016/j.energy.2019.116359Deb S., Tammi K., Kalita K., & Mahanta P. Charging Station Placement for Electric Vehicles: A Case Study of Guwahati City, India. IEEE Access. 10.1109/ACCESS.2020.2994298
  • Kramar, V. ‘UAS (drone) in Response to Coronavirus’. IEEE, 27th Conference of Open Innovation Association, FRUCT, 2020-Septe, 90–100. Trento, Italy. September 2020. https://doi.org/10.23919/FRUCT49677.2020.9211075
  • J. N. Yasin, SAS Mohamed, MH Haghbayan, J Heikkonen, H Tenhunen, MM Yasin, J Plosila. Dynamic Formation Reshaping Based on Point Set Registration in a Swarm of Drones. To appear in Future of Information and Communication Conference (FICC) 2021, Canada.
  • Tahir, J. Böling, MH. Haghbayan and J. Plosila. Development of a Fault-Tolerant Control System for a Swarm of Drones, 62nd International Symposium ELMAR-2020, IEEE, pp. 79–82, Zadar, Croatia, 2020, doi: 10.1109/ELMAR49956.2020.9219027.
  • S. A. S. Mohamed, J. N. Yasin, M. Haghbayan, J. Heikkonen, H. Tenhunen, and J. Plosila. Asynchronous Corner Tracking Algorithm based on Lifetime of Events for DAVIS Cameras. 15th International Symposium on Visual Computing (ISVC 2020)
  • J. N. Yasin, SAS Mohamed, MH Haghbayan, J Heikkonen, H Tenhunen, MM Yasin, J Plosila. Energy-efficient Formation Morphing for Collision Avoidance in a Swarm of Drones. IEEE Access 8, 170681 – 170695, 2020.
  • J. N. Yasin, SAS Mohamed, MH Haghbayan, J Heikkonen, H Tenhunen, J Plosila. Low-cost Ultrasonic based Object Detection and Collision Avoidance Method for Autonomous Robots. International Journal of Information Technology, Springer, 2020.
  • J. N. Yasin, SAS Mohamed, MH Haghbayan, J Heikkonen, H Tenhunen, MM Yasin, J Plosila. Night Vision Obstacle Detection and Avoidance Based on Bio-Inspired Vision Sensors. IEEE Sensors , IEEE 2020.
  • A. Tahir, J. Böling, MH. Haghbayan and J. Plosila. Navigation System For Landing A Swarm Of Autonomous Drones On A Movable Surface. Communications of the ECMS, Proceedings of the 34th International ECMS Conference on Modelling and Simulation, Volume 34, Issue 1, pp. 168–174, 2020, United Kingdom, doi: 10.7148/2020-0168.
  • J. N. Yasin, SAS Mohamed, MH Haghbayan, J Heikkonen, H Tenhunen, J Plosila. Unmanned Aerial Vehicles (UAVs): Collision Avoidance Systems and Approaches. IEEE Access 8, 105139 – 105155, 2020.
  • J. N. Yasin, SAS Mohamed, MH Haghbayan, J Heikkonen, H Tenhunen, J Plosila. Navigation of Autonomous Swarm of Drones using Translational Coordinates. 18th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2020), Springer, 2020.
  • A. Tahir, J. Böling, MH. Haghbayan and J. Plosila. Comparison of Linear and Nonlinear Methods for Distributed Control of a Hierarchical Formation of UAVs. IEEE Access, vol. 8, pp. 95667-95680, 2020, doi: 10.1109/ACCESS.2020.2988773.
  • S. A. S. Mohamed, MH Haghbayan, J Heikkonen, H Tenhunen, J Plosila. Towards Real-time Edge Detection for Event Cameras Based on Lifetime and Dynamic Slicing. Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020), Springer, 2020.
  • M. Rabah, A Rohan, MH Haghbayan, J Plosila, S Kim. Heterogeneous Parallelization for Object Detection and Tracking in UAVs. IEEE Access 8, 2020.
  • M. H. Haghbayan, A Miele, Z Zou, H Tenhunen, J Plosila. Thermal-Cycling-aware Dynamic Reliability Management in Many-Core System-on-Chip. In Proc. of the IEEE/ACM Design, Automation, and Test in Europe (DATE2020), 2020, France.
  • A. Kelati, H. Maziku, J. Plosila, N. Mvungi, H. Tenhunen. Challenge Driven Education in using Emerging Technology to Narrow the Gap between the Ageing Population and the Health Caregivers. 12th International Conference on Education and New Learning Technologies, EDULEARN20 Proceedings.
  • A. Kelati, H. Gaber, J. Plosila, H. Tenhunen. Implementation of K-nearest Neighbor on Field Programmable Gate Arrays for Appliance Classification. IEEE 8th International Conference on Smart Energy Grid Engineering (SEGE), IEEE, 2020.
  • Victor Kathan Sarker, Prateeti Mukherjee, Tomi Westerlund, “Enhanced Reliability of Mobile Robots with Sensor Data Estimation at Edge”, IEEE Global Conference on Artificial Intelligence & Internet of Things, IEEE (2020)
  • Jorge Peña Queralta, Li Qingqing, Fabrizio Schiano, Tomi Westerlund, “VIO-UWB-Based Collaborative Localization and Dense Scene Reconstruction within Heterogeneous Multi-Robot Systems”, arXiv Preprint (2020)
  • Li Qingqing, Jussi Taipalmaa, Jorge Peña Queralta, Tuan Nguyen Gia, Moncef Gabbouj, Hannu Tenhunen, Jenni Raitoharju, Tomi Westerlund, “Towards Active Vision with UAVs in Marine Search and Rescue: Analyzing Human Detection at Variable Altitudes”, IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), IEEE (2020).
  • Jorge Peña Queralta and Tomi Westerlund, “Blockchain for Mobile Edge Computing: Consensus Mechanisms and Scalability”, Mobile Edge Computing (Book Chapter), Springer (2020).
  • Jorge Peña Queralta, Jussi Taipalmaa, Bilge Can Pullinen, Victor Kathan Sarker, Tuan Nguyen Gia, Hannu Tenhunen, Moncef Gabbouj, Jenni Raitoharju, Tomi Westerlund, “Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception and Active Vision”, IEEE Access, IEEE (2020).
  • Wenshuai Zhao, Jorge Peña Queralta, Tomi Westerlund, “Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey”, IEEE Symposium Series on Computational Intelligence, IEEE (2020).
  • Wenshuai Zhao, Jorge Peña Queralta, Li Qingqing, Tomi Westerlund, “Ubiquitous Distributed Deep Reinforcement Learning at the Edge: Analyzing Byzantine Agents in Discrete Action Spaces”, The 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020), Elsevier (2020).
  • Wenshuai Zhao, Jorge Peña Queralta, Li Qingqing, Tomi Westerlund, “Towards Closing the Sim-to-Real Gap in Collaborative Multi-Robot Deep Reinforcement Learning”, 5th International Conference on Robotics and Automation Engineering, IEEE (2020).
  • Jorge Peña Queralta, Carmen Martínez Almansa, Fabrizio Schiano, Dario Floreano, Tomi Westerlund, “UWB-based System for UAV Localization in GNSS-Denied Environments: Characterization and Dataset”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE (2020).
  • Diana Rwegasira, Imed Ben Dhaou, Syed Kakakhel, Tomi Westerlund and Hannu Tenhunen, “Distributed Load Shedding Algorithm for Islanded Microgrid Using Fog Computing Paradigm”, The International Energy Conference , IEEE (2020) .
  • Wang Shule, Carmen Martínez Almansa, Jorge Peña Queralta, Zhuo Zou, Tomi Westerlund, “UWB-Based Localization for Multi-UAV Systems and Collaborative Heterogeneous Multi-Robot Systems: a Survey”, The 15th International Conference on Future Networks and Communications , Elsevier (2020)
  • Victor Kathan Sarker, Tuan Nguyen Gia, Imed Ben Dhaou and Tomi Westerlund, “Smart Parking System with Dynamic Pricing, Edge-Cloud Computing and LoRa”, Sensors , MDPI (2020) .
  • Anum Nawaz, Jorge Peña Queralta, Jixin Guan, Muhammad Awais, Tuan Nguyen Gia, Ali Kashif, Haibin Kan, Tomi Westerlund, “Edge Computing to Secure IoT Data Ownership and Trade with the Ethereum Blockchain”, Sensors , MDPI (2020) .
  • Mehar Ullah, Syed Rameez Ullah Kakakhel, Tomi Westerlund, Annika Wolff, Dick Carrillo, Juha Plosila, Pedro H. J. Nardelli , ” IoT Protocol Selection for Smart Grid Applications: Merging Qualitative and Quantitative Metrics”, 43rd International Convention on Information, Communication and Electronic Technology , MIPRO Croatian ICT Society
  • Carmen Martínez Almansa, Wang Shule, Jorge Peña Queralta, Tomi Westerlund, “Autocalibration of a Mobile UWB Localization System for Ad-Hoc Multi-Robot Deployments in GNSS-Denied Environments”, International Conference on Localization and GNSS (ICL-GNSS 2020) , CEUR WS Proceedings (2020)
  • Li Qingqing, Paavo Nevalainen, Jorge Peña Queralta, Jukka Heikkonen and Tomi Westerlund, “Localization in Unstructured Environments: Towards Autonomous Robots in Forests with Delaunay Triangulation”, Remote Sensing , MDPI (2020) .
  • Victor Kathan Sarker, Li Qingqing and Tomi Westerlund, “3D Perception with Low-cost 2D LIDAR and Edge Computing for Enhanced Obstacle Detection”, IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) , IEEE (2020) .
  • Jorge Peña Queralta, Li Qingqing, Tuan Nguyen Gia, Hong-Linh Truong, Tomi Westerlund, “End-to-End Design for Self-Reconfigurable Heterogeneous Robotic Swarms”, International Conference on Distributed Computing in Sensor Systems (DCOSS) , IEEE (2020) .
  • Syed Rameez Ullah Kakakhel, Aron Kondoro, Tomi Westerlund, Imed Ben Dhaou, Juha Plosila, “Enhancing Smart Grids via Advanced Metering Infrastructure and Fog Computing Fusion”, IEEE World Forum on Internet of Things , IEEE (2020) .
  • Jorge Peña Queralta, Li Qingqing, Zhuo Zou, and Tomi Westerlund, “Enhancing Autonomy with Blockchain and Multi-Access Edge Computing in Distributed Robotic Systems”, The Fifth International Conference on Fog and Mobile Edge Computing (FMEC 2020) , IEEE (2020) .
  • Victor Kathan Sarker, Tuan Nguyen Gia, Hannu Tenhunen, Tomi Westerlund, “Lightweight Security Algorithms for Resource-constrained IoT-based Sensor Nodes”, IEEE International Conference on Communications 2020 , IEEE (2020) .
  • Li Qingqing, Jorge Peña Queralta, Tuan Nguyen Gia, Zhuo Zou, Tomi Westerlund, “Multi Sensor Fusion for Navigation and Mapping in Autonomous Vehicles: Accurate Localization in Urban Environments”, Unmanned Systems (2020). The 9th IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and the 9th IEEE International Conference on Robotics, Automation and Mechatronics (RAM). Nominated to Best Paper Award.
  • Tuan Nguyen Gia, Jorge Peña Queralta, Tomi Westerlund, “Exploiting LoRa, edge, and fog computing for traffic monitoring in smart cities”, LPWAN Technologies for IoT and M2M Applications , Elsevier (2020) .
  • Imed Saad Ben Dhaou, Aron Kondoro, Syed Rameez Ullah Kakakhel, Tomi Westerlund, Hannu Tenhunen, “Internet of Things Technologies for Smart Grid”, , IGI Global (2020) .
  • Shenjie Bao, Tuan Nguyen Gia, Wei Chen, Tomi Westerlund, “Wearable Health Monitoring System using Flexible Materials Electrodes”, The 2020 IEEE 6th World Forum on The Internet of Things (WF-IoT 2020) , IEEE (2020) .
  • Li, Q.; Nevalainen, P.; Peña Queralta, J.; Heikkonen, J.; Westerlund, T. Localization in Unstructured Environments: Towards Autonomous Robots in Forests with Delaunay Triangulation. Remote Sens. 2020, 12, 1870.
  • Nevalainen, Paavo. 2020, “Replication Data for: Navigation and mapping in forest environment using sparse point clouds”, Harvard Dataverse, V1,https://doi.org/10.7910/DVN/IO7PZO .
  • F. Farahnakian,J.Heikkonen, “Deep Learning based Multi-modal Fusion Architectures for Maritime Vessel Detection”, Journal of Remote Sensing, 2020.
  • F.Farahnakian, and J. Heikkonen, “RGB-depth Fusion Framework for Object Detection in Autonomous Vehicles”, The 14th International Conference on Signal Processing and Communication Systems (ICSPCS), 2020, Australia.
  • F.Farahnakian, and J. Heikkonen, “ A Comparative Study of Deep Learning-based RGB-depth Fusion Methods for Object Detection”, The 19th IEEE International Conference on Machine Learning and Applications (ICMLA), 2020, USA.
  • F. Farahnakian, and J. Heikkonen, “Fusing LiDAR and Color Imagery for Object Detection using Convolutional Neural Networks”, The 23th edition of the IEEE International conference on information fusion (Fusion), 2020, South Africa.
  • Valentin Soloviev, Fahimeh Farahnakian, Luca Zelioli, Bogdan Iancu, Johan Lilius, Jukka Heikkonen, “Comparing CNN-based Object Detectors on Two Novel Maritime Datasets”, The IEEE International Conference on Multimedia & Expo (ICME), 2020, UK.
  • Tahsin C.M.Dönmez, Yuan Zhang, Ethiopia Nigussie, Antti Hakkala and Jouni Isoaho, “Automated driving systems meet edge computing: A security perspective”, Accepted for publication in Proc. of 8th Transport Research Arena TRA2020, April 27-30, 2020, Helsinki, Finland. (conference cancelled)
  • S. A. S. Mohamed, MH Haghbayan, J Heikkonen, H Tenhunen, J Plosila. Towards Dynamic Monocular Visual Odometry Based on an Event Camera and IMU Sensor. International Conference on Intelligent Transport Systems (IntSys 2019), 2019.
  • S. A. S. Mohamed, MH Haghbayan, J Heikkonen, H Tenhunen, J Plosila. Monocular visual odometry based on hybrid parameterization. Twelfth International Conference on Machine Vision (ICMV 2019), IEEE/ACM, 2019.
  • A. Tahir, J. Böling, MH. Haghbayan, H. Toivonen and J. Plosila. Swarms of Unmanned Aerial Vehicles — A Survey. A. Tahir. Journal of Industrial Information Integration, vol. 16 (100106), Elsevier, 2019, doi: 10.1016/j.jii.2019.100106
  • J. N. Yasin, MH Haghbayan, J Heikkonen, H Tenhunen, J Plosila. Formation Maintenance and Collision Avoidance in a Swarm of Drones. 2019 International Symposium on Computer Science and Intelligent Control, ACM (ISCSIC 2019).
  • S. A. S. Mohamed, MH Haghbayan, T Westerlund, J Heikkonen, H Tenhunen, J Plosila. A Survey on Odometry for Autonomous Navigation Systems. IEEE Access 7, 97466-97486, 2019.
  • Jorge Peña Queralta and Tomi Westerlund, “Blockchain-Powered Collaboration in Heterogeneous Swarms of Robots”, Preprint (2020) . Presented at the 2019 Symposium on Blockchain for Robotics and AI Systems, MIT Media Lab.
  • F.Farahnakian, J. Poikonen, M. Laurinen, and J. Heikkonen, “Deep Convolutional Neural Network-based Fusion of RGB and IR Images in Marine Environment”, The 22th IEEE International Conference on Intelligent Transportation Systems (ITSC), 2019, New Zealand.
  • F.Farahnakian, J. Poikonen, M. Laurinen, D. Makris and J. Heikkonen, “Visible and Infrared Image Fusion Framework based on RetinaNet for Marine Environment”, The 22th edition of the IEEE International conference on information fusion (Fusion), 2019, Canada.
  • F. Farahnakian, P. Movahedi , J. Poikonen, E. Lehtonen, D. Makris and J. Heikkonen, “Comparative Analysis of Image Fusion Methods in Marine Environment”, Proceedings of the 13th edition of the IEEE International Symposium on RObotic and Sensors Environments (ROSE), 2019, Canada.
  • A Hakkala, OI Heimo, “Automobile Automation and Lifecycle: How Digitalisation and Security Issues Affect the Car as a Product and Service?”, Proceedings of SAI Intelligent Systems Conference, 121-137
  • OI Heimo, KK Kimppa, A Hakkala. ” Automated Automobiles in Society”, in Proc. of 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 348-353
  • Nanda Kumar Thanigaivelan, Ethiopia Nigussie, Seppo Virtanen and Jouni Isoaho, ”Conceptual Security System Design for Mobile Platforms Based on Human Nervous System”, In proceedings of International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, pp. 437-446, 2019.
  • Seppo Horsmanheimo, Joonas Säe, Tero Jokela, Lotta Tuomimäki, Ethiopia Nigussie, Annemarie Hjelt, Sami Huilla, Tahsin Dönmez, Nicolas Le Bail, Mikko Valkama, “Remote Monitoring of IoT Sensors and Communication Link Quality in Multisite mMTC Testbed” In Proc. of 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 1-7.
  • F. Farahnakian, M.Haghbayan, J. Poikonen, M. Laurinen, P. Nevalainen and J. Heikkonen, “Object Detection based on Multi-sensor Proposal Fusion in Maritime Environment”, The 17th IEEE International Conference on Machine Learning and Applications (ICMLA), 2018, USA.
  • M.Haghbayan, F. Farahnakian, J. Poikonen, M. Laurinen, P. Nevalainen and J. Heikkonen, “An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environment”, The 21th IEEE International Conference on Intelligent Transportation Systems (ITSC), 2018, USA.
  • Tiusanen, R., Malm, T., Heikkilä, E., & Sarsama, J. (2020). Safety approaches for autonomous mobile machines in industrial environments. Assuring Safe Autonomy: Proceedings of the 28th Safety-Critical Systems Symposium (SSS’20)
  • Heikkilä, E., & Tiusanen, R. (2020). Applicability of systems-theoretic methods in the safety assessment of autonomous port logistics. Assuring Safe Autonomy: Proceedings of the 28th Safety-Critical Systems Symposium (SSS’20) (pp. 413-416)
  • Heikkilä, E., Wahlström, M., & Granholm, G. (2020). Towards maritime traffic coordination in the era of intelligent ships: a systems theoretic study. Proceedings of the International Seminar on Safety and Security of Autonomous Vessels (ISSAV) and European STAMP Workshop and Conference (ESWC) 2019 (pp. 243-248). Sciendo.
  • Ahonen, T., Malm, T., Heikkilä, E., Tiusanen, R., & Välisalo, T. (2020). Käyttövarmuuden hallinta älykkäissä konejärjestelmissä. Automaatioväylä, 2020(1), 20-23.
  • Bhutkar, G., Roto, V., Clemmensen, T., Barricelli, B. R., Abdelnour-Nocera, J., Meschtscherjakov, A., … & Gonçalves, F. (2019, September). User Experiences and Wellbeing at Work. In IFIP Conference on Human-Computer Interaction (pp. 754-758). Springer, Cham.
  • Nieminen Mika and Hyytinen Kirsi: Evaluating Ethical Impacts of Autonomous System, White paper in August 2019.
  • Nurminen, J.K., Halvari, T., Harviainen, J., Mylläri, J., Röyskö, A., Silvennoinen, J., and Mikkonen, T., “Software Framework for Data Fault Injection to Test Machine Learning Systems”. 4th IEEE International Workshop on Reliability and Security Data Analysis (RSDA 2019) at 30th Annual IEEE International Symposium on Software Reliability Engineering (ISSRE 2019), Berlin, Germany, October 2019
  • Palanque, P., Campos, P. F., Nocera, J. A., Clemmensen, T., & Roto, V. (2019, September). User Experience in an Automated World. In IFIP Conference on Human-Computer Interaction (pp. 706-710). Springer, Cham.
  • Rilla, Nina; Nieminen, Mika; Leikas, Jaana (accepted, event cancelled) Co-creating ethical values in AI-driven socio-technical change. EU-Spri 2020 New Horizons for Science Technology and Innovation Policies, June 3-5, 2020.
  • Rilla, Nina; Sigfrids, Anton; Nieminen, Mika (accepted) Conceptualisation of responsibility and ethics in an ecosystem context. Abstract, Triple Helix Conference, 15-17 of June 2020.
  • Ringbom, ‘Legalizing Autonomous Ships’, Ocean Yearbook 34, Brill, Leiden, 2019, pp. 431-460 (forthcoming)
  • Ringbom, Co-editor of and co-author of introductory chapter in H. Ringbom, E. Røsæg, T. Solvang (eds.) Autonomous Ships – Legal Issues, Routledge, 2020 (forthcoming)
  • Ringbom, F. Collin, ‘Terminology and Concepts’, in H. Ringbom, E. Røsæg, T. Solvang (eds.) Autonomous Ships – Legal Issues, Routledge, 2020 (forthcoming)
  • Ringbom, ‘Developments, Challenges and Prospects at IMO’, in H. Ringbom, E. Røsæg, T. Solvang (eds.) Autonomous Ships – Legal Issues, Routledge, 2020 (forthcoming)
  • Collin, ‘Unmanned Ships and Fault as the Basis of Shipowner’s Liability’, in H. Ringbom, E. Røsæg, T. Solvang (eds.) Autonomous Ships – Legal Issues, Routledge, 2020 (forthcoming)
  • Viljanen, ‘Insuring Autonomous Vessels – Scoping the Issues’ in H. Ringbom, E. Røsæg, T. Solvang (eds.) Autonomous Ships – Legal Issues, Routledge, 2020 (forthcoming)
  • Pyykkö, J. Kuusijärvi, B. Silverajan, V. Hinkka, (2020) The Cyber Threat Preparedness in the Maritime Logistics Industry, to appear at TRA2020, conf. cancelled.
  • T. Tran, S. Kiranyaz, M. Gabbouj and A. Iosifidis, “Progressive Operational Perceptron with Memory,” Neurocomputing, Neurocomputing, 31 October 2019.
  • Kiranyaz, T. Ince, A. Iosifidis and M. Gabbouj, “Operational Neural Networks”, Neural Computing and Applications (2020). doi.10.1007/s00521-020-04780-3.
  • Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, & Anastasios Tefas, “Variance-preserving Deep Metric Learning for Content-based Image Retrieval,” Pattern Recognition Letters, Dec 2019.
  • Dat Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis, “Heterogeneous Multilayer Generalized Operational Perceptron,” IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 3, March 2020, DOI: 10.1109/TNNLS.2019.2914082, pp. 710-724.
  • T. Tran, M. Yamac, A. Degerli, M. Gabbouj, and A. Iosifidis, “Multilinear compressive learning,” IEEE Transactions on Neural Networks and Learning Systems, accepted 2020.
  • Serkan Kiranyaz; Onur Avci; Osama Abdeljaber; Turker Ince; Moncef Gabbouj; Daniel Inman, ”1D Convolutional Neural Networks and Applications – A Survey,” Mechanical Systems and Signal Processing, under review 2020.
  • Baldi F., Moret S., Tammi K. & Maréchal F. The role of solid oxide fuel cells in future ship energy systems. Energy. Volume 194. 2020. 10.1016/j.energy.2019.116811
  • Ritari A., Huotari J., Halme J. & Tammi K. Hybrid electric topology for short sea ships with high auxiliary power availability requirement. Energy. Volume 190. 2020. 10.1016/j.energy.2019.116359
  • Huotari J., Ritari A., Ojala R., Vepsäläinen J. & Tammi K. Q-Learning Based Autonomous Control of the Auxiliary Power Network of a Ship. Volume: 7. IEEE Access. 2019
  • Yongjun, P., Xiang, S., Guo, W., He, Y.,Zhao, J., and Mikkola, A., The Validation of a Semi-Recursive Vehicle Dynamics Model for a Real-Time Simulation, Mechanism and Machine Theory, in printing.
  • Rahikainen, J., Gonzalez, F., Angel Naya, M., Sopanen, J., and Mikkola, A., On the Co-Simulation of Multibody Systems and Hydraulic Dynamics, Multibody System Dynamics, in printing.
  • Vakkuri, Ville; Kemell, Kai-Kristian; Kultanen, Joni; Abrahamsson, Pekka (2020). The Current State of Industrial Practice in Artificial Intelligence Ethics. IEEE Software, Early Access. DOI: 10.1109/MS.2020.2985621
  • Ville Vakkuri, Kai-Kristian Kemell, Joni Kultanen, Mikko Siponen, Pekka Abrahamsson, (2020) Ethically Aligned Design of Autonomous Systems: Industry viewpoint and an empirical study, to appear at TRA2020 (https://arxiv.org/ftp/arxiv/papers/1906/1906.07946.pdf), conf. cancelled.
  • Ville Vakkuri, Kai-Kristian Kemell, Pekka Abrahamsson: Ethically Aligned Design: An Empirical Evaluation of the RESOLVEDD-Strategy in Software and Systems Development Context. SEAA 2019: 46-50
  • Ville Vakkuri, Kai-Kristian Kemell: Implementing AI Ethics in Practice: An Empirical Evaluation of the RESOLVEDD Strategy. ICSOB 2019: 260-275
  • Ville Vakkuri, Kai-Kristian Kemell: Implementing Artificial Intelligence Ethics: A Tutorial. ICSOB 2019: 439-442
  • Ville Vakkuri, Kai-Kristian Kemell, Pekka Abrahamsson: Implementing Ethics in AI: Initial Results of an Industrial Multiple Case Study. PROFES 2019: 331-338
  • Zeinab Khosravi, Mikhail Gerasimenko, Jani Urama, Alexander Pyattaev, Jose Villa Escusol, Jiri Hosek, Sergey Andreev, Yevgeni Koucheryavy: Designing High-Speed Directional Communication Capabilities for Unmanned Surface Vehicles. ISWCS 2019
  • Yekaterina Sadovaya, Dmitrii Solomitckii, Wei Mao, Oner Orhan, Hosein Nikopour, Shilpa Talwar, Sergey Andreev, Yevgeni Koucheryavy: Geometry-Based V2V Channel Modeling over Millimeter-Wave in Highway Scenarios. ICUMT 2019
  • Joonas Sae, Richard Wiren, Juhani Kauppi, Johan Torsner, Sergey Andreev, Mikko Valkama: Reliability of UAV Connectivity in Dual-MNO Networks: A Performance Measurement Campaign. ICC 2020
  • Baquero Barneto, Carlos;Riihonen, Taneli;Turunen, Matias;Koivisto, Mike;Talvitie, Jukka;Valkama, Mikko: Radio-based Sensing and Indoor Mapping with Millimeter-Wave 5G NR Signals. ICL 2020
  • Kia, G. Ruotsalainen L. Cooperative localization utilizing reinforcement learning for 5G networks. IEEE 6G Wireless summit, 2020.
  • Nurminen, J.K., Halvari, T., Harviainen, J., Mylläri, J., Röyskö, A., Silvennoinen, J., and Mikkonen, T., “Software Framework for Data Fault Injection to Test Machine Learning Systems”. 4th IEEE International Workshop on Reliability and Security Data Analysis (RSDA 2019) at 30th Annual IEEE International Symposium on Software Reliability Engineering (ISSRE 2019), Berlin, Germany, October 2019.
  • P.Paltor, S. A. Rashti, S. Lafond, J. Salokannel, J. Lilius, M. Salokorpi (2020) “Learning maritime surface ship navigation”. Conference paper accepted for the 8th International Conference on Maritime Transport, 17-18 September, Barcelona, Spain.
  • P.Paltor, S. A. Rashti, S. Lafond, J. Salokannel, J. Lilius, M. Salokorpi (2020) “On the Verification and Validation of AI Navigation Algorithms”. Conference paper accepted for inclusion in the OCEANS 2020 Singapore Technical Program, 11-14 August, Singapore.
  • Karvonen, H., & Martio, J. (2019). Human Factors Issues in Maritime Autonomous Surface Ship Systems Development. In Proceedings of the 1st International Conference on Maritime Autonomous Surface Ships. SINTEF Academic Press.
  • Koskinen, J., Knaapi-Junnila, S., & Rantanen, M.M. (2019) What if we had fair -people-centred – data economy ecosystems? IEEE Smart World Congress 2019 / Forum on Ethics and Human Rights in Smart Information Systems.
  • Nurminen, J.K., Halvari, T., Harviainen, J., Mylläri, J., Röyskö, A., Silvennoinen, J., & Mikkonen, T., “Software Framework for Data Fault Injection to Test Machine Learning Systems”. 4th IEEE International Workshop on Reliability and Security Data Analysis (RSDA 2019) at 30th Annual IEEE International Symposium on Software Reliability Engineering (ISSRE 2019), Berlin, Germany, 2019
  • Heikkilä, T., Seppälä, T., Kuula, T., & Karvonen, H. (2019). Remote Robot-Sensor Calibration Service: Towards Cyber Physical Robotics. International Journal of Mobile Devices, Wearable Technology, and Flexible Electronics, 10(1), 15-36.
  • Ojanen, Oljakka, Sahlgren, Tuikka & Vaiste (2019) Opas tekoälyn etiikkaan. Turku AI Society. Popularised monograph.
  • Penttinen, M., Luoma, J., & Mesimäki, J. (2019, June). Automated Driving – How Safe is Safe Enough. 13th ITS European Congress, Brainport, the Netherlands.
  • Rantanen, M. M., Koskinen, J., & Hyrynsalmi, S. (2019, May). E-Government Ecosystem: A new view to explain complex phenomenon. In 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) (pp. 1408-1413).
  • Rantanen, M. M., Hyrynsalmi, S., & Hyrynsalmi, S. M. (2019, June). Towards Ethical Data Ecosystems: A Literature Study. In 2019 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) (pp. 1-9). IEEE.
  • Vaiste, J. (2019) Ethics of AI technologies and organizational roles: Who is accountable for the ethical conduct? Third Annual Seminar on Technology Ethics, University of Turku. Conference publication.
  • Vaiste, J., Oljakka, N., & Sivula, O. (2019) An integrated approach of ethics, law and corporate responsibility: An analysis of surveillance robots. Revue Roumaine de Philosophie, Special Issue: Enhancing ethics: new approaches to standard moral issues. Journal publication, invited submission.
  • Wu, Y., Lyckvi, S., & Roto, V. (2019, April). “What is Fair Shipping, Anyway?”: Using Design Fiction to Raise Ethical Awareness in an Industrial Context. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (p. 436). ACM.
  • Huikkola, T. & Kohtamäki, M., “Interplay of strategic orientations in the development of smart solutions”, Procedia CIRP, Volume 83, 2019, Pages 89-94, ISSN 2212-8271, https://doi.org/10.1016/j.procir.2019.02.145.
  • Saman Payvar, Mir Khan, Rafael Stahl, Daniel Mueller-Gritschneder, Jani Boutellier, “Neural Network-based Vehicle Image Classification for IoT Devices, accepted to IEEE SiPS 2019
  • Pablo Pascual Campo, Vesa Lampu, Alexandre Meirhaeghe, Jani Boutellier, Lauri Anttila, Mikko Valkama, “Digital Predistortion for 5G Small Cell: GPU Implementationand RF Measurements”, accepted to Springer Journal of Signal Processing Systems
  • Ilkka Hautala, Jani Boutellier, Olli Silvén, “TTADF: Power Efficient Dataflow-Based Multicore Co-Design Flow”, accepted to IEEE Transactions on Computers
  • Salomon Honkala, Sarang Thombre, Martti Kirkko-Jaakkola, Hein Zelle, Henk Veerman, Anders Wallin, Erik Dierikx, Sanna Kaasalainen, Stefan Söderholm, Heidi Kuusniemi, “Performance of EGNSS-based Timing in Various Threat Conditions”, in IEEE Transactions on Instrumentation and Measurement, doi: 10.1109/TIM.2019.2923485
  • T. Tran, S. Kiranyaz, M. Gabbouj, A. Iosifidis, “Progressive Operational Perceptron with Memory,” Neurocomputing, accepted 2019.
  • Kiranyaz, T. Ince, A. Iosifidis, M. Gabbouj, “Operational Neural Networks”, arXiv:1902.11106, 2019
  • Sadovaya, D. Solomitckii, W. Mao, O. Orhan, H. Nikopour, S. Talwar, S. Andreev, Y. Koucheryavy: Geometry-Based V2V Channel Modeling over Millimeter-Wave in Highway Scenarios. ICUMT 2019.
  • Khosravi, M. Gerasimenko, J. Urama, A. Pyattaev, J.V. Escusol, J. Hosek, S. Andreev, Y. Koucheryavy: Designing High-Speed Directional Communication Capabilities for Unmanned Surface Vehicles. ISWCS 2019.
  • Martinsuo, M.: Systemic change in industrial networks, Scandinavian Academy of Industrial Engineering and Management conference, ScAIEM 2019.
  • Karvonen, H.: User experience goals in human-centred design of safety-critical systems, JYU Dissertations, 156, 2019.
  • Silverajan B, Vistiaho P.: Enabling Cybersecurity Incident Reporting and Coordinated Handling for Maritime Sector. In 2019 14th Asia Joint Conference on Information Security (AsiaJCIS) 2019 Aug 1 (pp. 88-95). IEEE.
  • Höyhtyä, M.: “Connectivity manager: Ensuring robust connections for autonomous ships,” in Proc. ICoIAS, Feb.–Marc. 2019 (Best presentation award).
  • Karvonen, H., Heikkilä, E., & Wahlström,M., ”Artificial Intelligence Awareness in Work Environments”. IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 544), pp. 175–185, Springer, 2019.
  • Karvonen, H. & Martio, J., ”Human Factors Issues in Maritime Autonomous Surface Ship Systems Development”, Proceedings of the 1st International Conference on Maritime Autonomous Surface Ship, Conference proceedings, pp. 175-181, 2018.
  • Martio, J., Happonen, K., & Karvonen, H., “Simulations of Autonomous Ship Collision Avoidance System for Design and Evaluation”. In: Kujala, P., & Lu, L. (Eds.) Marine Design XIII, Volume 1: Proceedings of the 13th International Marine Design Conference (IMDC 2018), CRC Press, 2018.
  • Roto, V., Palanque, P., & Karvonen, H., ”Engaging Automation at Work – A Literature Review”. IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 544), pp. 158–172, Springer, 2019.
  • Ruuska, Höyhtyä, & Hyväri, ”Roadmap for Connectivity of Remotely Controlled and Autonomous Ships”, 31 pages, October 2018.
  • Saariluoma, P., Karvonen, H., & Rousi, R., ”Techno-Trust and Rational Trust in Technology – A Conceptual Investigation”. IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 544), pp. 283–293, Springer, 2019.
  • Tiusanen, R., Malm, T., & Ronkainen, A., ”Top-Down approach for safety engineering in autonomous and semi-autonomous machinery systems”. 9th International Conference on Safety of Industrial Automated Machines (SIAS2018), pp. 96–102, 2018
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