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Road traffic injuries are the leading cause of death for people aged 5-29, resulting in about 1.19 million deaths each year.
Conference Name: IEEE Transactions on Circuits and Systems for Video Technology
J. Fang, J. Qiao, J. Xue, and Z. Li, “Vision-based traffic accident detection and anticipation: A survey,” vol. 34, no. 4, pp. 1983–1999 · 1999
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Publisher: Taylor & Francis _eprint: https://doi.org/10.1080/15389588.2015.1017572
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ISSN: 2150-3117
B. Maaloul, A. Taleb-Ahmed, S. Niar, N. Harb, and C. Valderrama, “Adaptive video-based algorithm for accident detection on highways,” in 2017 12th IEEE International Symposium on Industrial Embedded Systems (SIES) · 2017
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original-date: 2018-06-29T14:02:45Z
CVAT.ai Corporation, “Computer vision annotation tool (CVAT).” · 2018
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W. Zimmer, A. Rangesh, and M. Trivedi, “3d bat: A semi-automatic, web-based 3d annotation toolbox for full-surround, multi-modal data streams,” in 2019 IEEE Intelligent Vehicles Symposium (IV)
2019
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N. Kulkarni, A. Rangesh, J. Buck, J. Feltracco, M. Trivedi, N. Deo, R. Greer, S. Sarraf, and S. Sathyanarayana, “Create a large-scale video driving dataset with detailed attributes using amazon sagemaker ground truth,” 2021
2021
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H. Abualsaud, S. Liu, D. B. Lu, K. Situ, A. Rangesh, and M. M. Trivedi, “Laneaf: Robust multi-lane detection with affinity fields,” IEEE Robotics and Automation Letters
2021
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Springer Nature, 2022
T. Fingscheidt, H. Gottschalk, and S. Houben, Deep neural networks and data for automated driving: Robustness, uncertainty quantification, and insights towards safety · 2022
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H. Wang, X. Zhang, Z. Li, J. Li, K. Wang, Z. Lei, and R. Haibing, “Ips300+: a challenging multi-modal data sets for intersection perception system,” in 2022 International Conference on Robotics and Automation (ICRA)
2022
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2022
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2022
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C. Creß, W. Zimmer, L. Strand, M. Fortkord, S. Dai, V. Lakshminarasimhan, and A. Knoll, “A9-dataset: Multi-sensor infrastructure-based dataset for mobility research,” in 2022 IEEE Intelligent Vehicles Symposium (IV)
2022
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F. Christianos, P. Karkus, B. Ivanovic, S. V. Albrecht, and M. Pavone, “Planning with occluded traffic agents using bi-level variational occlusion models,” in 2023 IEEE International Conference on Robotics and Automation (ICRA)
2023
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W. Zimmer, J. Birkner, M. Brucker, H. T. Nguyen, S. Petrovski, B. Wang, and A. C. Knoll, “Infradet3d: Multi-modal 3d object detection based on roadside infrastructure camera and lidar sensors,” in 2023 IEEE Intelligent Vehicles Symposium (IV)
2023
2024
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2024
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S. Carta, M. Castrillón-Santana, M. Marras, S. Mohamed, A. S. Podda, R. Saia, M. Sau, and W. Zimmer, “Roadsense3d: A framework for roadside monocular 3d object detection,” in Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
2024
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R. Greer, A. Gopalkrishnan, M. Keskar, and M. M. Trivedi, “Patterns of vehicle lights: Addressing complexities of camera-based vehicle light datasets and metrics,” Pattern Recognition Letters
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W. Zimmer, J. Wu, X. Zhou, and A. C. Knoll, “Real-time and robust 3d object detection with roadside lidars,” in Proc. of Int. Scientific Conf. on Mobility and Transport: Mobility Innovations for Growing Megacities
2023
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P. Kremer, N. Nourani-Vatani, and S. Park, “A digital twin for teleoperation of vehicles in urban environments,” in 2023 IEEE International Conference on Robotics and Automation (ICRA)
2023
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R. Greer, N. Deo, A. Rangesh, M. Trivedi, and P. Gunaratne, “Safe control transitions: Machine vision based observable readiness index and data-driven takeover time prediction,” in 27th International Technical Conference on the Enhanced Safety of Vehicles (ESV) National Highway Traffic Safety Administration
2023
Cited alongside, same era.
R. Greer, S. Desai, L. Rakla, A. Gopalkrishnan, A. Alofi, and M. Trivedi, “Pedestrian behavior maps for safety advisories: Champ framework and real-world data analysis,” in 2023 IEEE Intelligent Vehicles Symposium (IV)
2023
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2023
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ISSN: 2153-0017
W. Zimmer, C. Creß, H. T. Nguyen, and A. C. Knoll, “TUMTraf intersection dataset: All you need for urban 3d camera-LiDAR roadside perception,” in 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) · 2023
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A. Ghita, B. Antoniussen, W. Zimmer, R. Greer, C. Creß, A. Møgelmose, M. Trivedi, and A. C. Knoll, “Activeanno3d-an active learning framework for multi-modal 3d object detection,” in 35th IEEE Intelligent Vehicles Symposium (IV) 2024
2024
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W. Zimmer, R. Pranamulia, X. Zhou, M. Liu, and A. C. Knoll, “PointCompress3d – a point cloud compression framework for roadside LiDARs in intelligent transportation systems.”
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2024
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ISSN: 2575-7075
R. Song, C. Liang, H. Cao, Z. Yan, W. Zimmer, M. Gross, A. Festag, and A. Knoll, “Collaborative semantic occupancy prediction with hybrid feature fusion in connected automated vehicles,” in 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2024
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2024
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T. Wang, S. Kim, J. Wenxuan, E. Xie, C. Ge, J. Chen, Z. Li, and P. Luo, “Deepaccident: A motion and accident prediction benchmark for v2x autonomous driving,” in Proceedings of the AAAI Conference on Artificial Intelligence
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2024
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