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Number of items: 18.
Journal Article
Shahbeigi, Sepeedeh, Robinson, Jonathan and Donzella, Valentina (2024) A novel score-based LiDAR point cloud degradation analysis method. IEEE Access, 12 . pp. 22671-22686. doi:10.1109/ACCESS.2024.3359300 ISSN 2169-3536.
Haghighi, Hamed, Dianati, Mehrdad, Donzella, Valentina and Debattista, Kurt (2023) Accelerating stereo image simulation for automotive applications using neural stereo super resolution. IEEE Transactions on Intelligent Transportation Systems, 24 (11). pp. 12627-12636. doi:10.1109/TITS.2023.3287912 ISSN 1524-9050.
Wang, Yiting, Chan, Pak Hung and Donzella, Valentina (2023) Semantic-aware video compression for automotive cameras. IEEE Transactions on Intelligent Vehicles, 8 (6). pp. 3712-3722. doi:10.1109/TIV.2023.3267443 ISSN 2379-8858.
Chan, Pak Hung, Huggett, Anthony, Souvaliioti, Georgia, Jennings, P. A. (Paul A.) and Donzella, Valentina (2023) Influence of AVC and HEVC compression on detection of vehicles through Faster R-CNN. IEEE Transactions on Intelligent Transportaion Systems . (In Press)
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
Robinson, Jonathan, Venturi, Alberto, Dudley, Richard, Bevilacqua, Maurizio and Donzella, Valentina (2023) 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. Published in: 2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI) ISBN 9781665459440. doi:10.1109/RAAI56146.2022.10092997
Wei, Chuheng, Wu, Guoyuan, Barth, Matthew, Chan, Pak Hung, Donzella, Valentina and Huggett, Anthony (2023) Enhanced object detection by integrating camera parameters into raw image-based faster R-CNN. In: 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)., Bilbao, Bizkaia, Spain, 24-28 Sep 2023 (In Press)
Wang, Yiting, Zhao, Haonan, Debattista, Kurt and Donzella, Valentina (2023) The effect of camera data degradation factors on panoptic segmentation for automated driving. In: 26th IEEE International Conference on Intelligent Transportation Systems (ITSC 2023), Bilbao, Bizkaia, Spain, 24-28 Sep 2023 (In Press)
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
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 ISBN 9781665497701. doi:10.1109/ICPS51978.2022.9816916
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. Published in: 2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI) ISBN 9781665459440. doi:10.1109/RAAI56146.2022.10092961
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 Fri Apr 19 05:21:30 2024 BST.