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Number of items: 12.
Journal Article
Li, Boda, Chan, Pak Hung, Baris, Gabriele, Higgins, Matthew D. and Donzella, Valentina (2022) Analysis of automotive camera sensor noise factors and impact on object detection. IEEE Sensors Journal, 22 (22). pp. 22210-22219. doi:10.1109/jsen.2022.3211406 ISSN 1558-1748.
Robinson, Jonathan, Smyth, Joseph, Woodman, Roger and Donzella, Valentina (2022) Ethical considerations and moral implications of autonomous vehicles and unavoidable collisions. Theoretical Issues in Ergonomics Science, 23 (4). pp. 435-452. doi:10.1080/1463922X.2021.1978013 ISSN 1463-922X.
Smyth, Joseph, Chen, Hanlin, Donzella, Valentina and Woodman, Roger (2021) Public acceptance of driver state monitoring for automated vehicles : applying the UTAUT framework. Transportation Research Part F: Traffic Psychology and Behaviour, 83 . pp. 179-191. doi:10.1016/j.trf.2021.10.003 ISSN 1369-8478.
Espineira, Juan, Robinson, Jonathan, Groenewald, Jakobus, Chan, Pak Hung and Donzella, Valentina (2021) Realistic LiDAR with noise model for real-time testing of automated vehicles in a virtual environment final. Sensors Journal . pp. 1-8. doi:10.1109/JSEN.2021.3059310 ISSN 1558-1748.
Hsu, Ching-Pai, Li, Boda, Solano-Rivas, Braulio, Gohil, Amar, Chan, Pak Hung, Moore, Andrew D. and Donzella, Valentina (2021) A review and perspective on optical phased array for automotive LiDAR. IEEE Journal of Selected Topics in Quantum Electronics, 27 (1). pp. 1-16. doi:10.1109/JSTQE.2020.3022948 ISSN 1077-260X.
Chan, Pak Hung, Dhadyalla, Gunwant and Donzella, Valentina (2020) A framework to analyze noise factors of automotive perception sensors. IEEE Sensors Letters, 4 (6). pp. 1-4. doi:10.1109/LSENS.2020.2996428 ISSN 1530-437X.
Conference Item
Li, Boda, Baris, Gabriele, Chan, Pak Hung, Rahman, Anima and Donzella, Valentina (2022) Testing ground-truth errors in an automotive dataset for a DNN-based object detector. In: 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Maldives, 16-18 Nov 2022. Published in: 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) ISBN 9781665470957. doi:10.1109/ICECCME55909.2022.9988623 (In Press)
Robinson, Jonathan, Venturi, Alberto, Dudley, Richard, Bevilacqua, Maurizio and Donzella, Valentina (2022) Methodology to investigate interference using off-the-shelf LiDARs. In: 2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI 2022), Singapore, 9-11 Dec 2022 (In Press)
Donzella, Valentina, Chan, Pak Hung and Huggett, Anthony (2022) Optimising Faster R-CNN training to enable video camera compression for assisted and automated driving systems. In: 2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI 2022), Singapore, 9-11 Dec 2022 (In Press)
Wang, Yiting, Chan, Pak Hung and Donzella, Valentina (2022) A two-stage h.264 based video compression method for automotive cameras. In: The 5th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) 2022, Coventry, UK, 24-26 May 2022. Published in: Proccedings of the The 5th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) 2022 (In Press)
Chan, Pak Hung, Souvalioti, Georgina, Huggett, Anthony, Kirsch, Graham and Donzella, Valentina (2021) The data conundrum : compression of automotive imaging data and deep neural network based perception. In: The London Imaging Meeting (LIM). Published in: Proceedings Society for Imaging Science and Technology London Imaging Meeting 2021, 2021 (1). pp. 78-82. ISBN 0892083466. doi:10.2352/issn.2694-118X.2021.LIM-78 ISSN 2694-118X.
Allen, A. J. and Donzella, Valentina (2018) Maintaining the pace : designing technical post-graduate courses for the 21st century automotive industry. In: 11th annual International Conference of Education, Research and Innovation Dates, Seville, Spain, 12-14 Nov 2018. Published in: ICERI2018 Proceedings pp. 6847-6853. ISBN 9788409059485. doi:10.21125/iceri.2018.2635 ISSN 2340-1095.
This list was generated on Tue Mar 28 11:40:59 2023 BST.