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Collective perception has received considerable attention as a promising approach to overcome occlusions and limited sensing ranges of vehicle-local perception in autonomous driving.
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T.-H. Wang, S. Manivasagam, M. Liang, B. Yang, W. Zeng, and R. Urtasun, “V2vnet: Vehicle-to-vehicle communication for joint perception and prediction,” in Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, Proceedings, Part II 16 . Springer
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MathWorks, “RoadRunner ,” https://de.mathworks.com/products/roadrunner.html
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2022
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S. Teufel, J. Gamerdinger, G. Volk, C. Gerum, and O. Bringmann, “Enhancing robustness of LiDAR-Based perception in adverse weather using point cloud augmentations,” in 2023 IEEE Intelligent Vehicles Symposium (IV) (IEEE IV 2023) , Anchorage, USA, Jun. 2023
2023
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2023
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S. Teufel, J. Gamerdinger, G. Volk, and O. Bringmann, “Collective pv-rcnn: A novel fusion technique using collective detections for enhanced local lidar-based perception,” in 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) . IEEE, 2023
2023
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S. Wei, Y. Wei, Y. Hu, Y. Lu, Y. Zhong, S. Chen, and Y. Zhang, “Asynchrony-robust collaborative perception via bird’s eye view flow,” arXiv e-prints , 2023
2023
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P. Schulz, A. Viehl, and O. Bringmann, “Fast environment generation methods for virtual testing,” in 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) , 2023
2023
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S. Teufel, J. Gamerdinger, J.-P. Kirchner, G. Volk, and O. Bringmann, “Collective perception datasets for autonomous driving: A comprehensive review,” in 2024 IEEE Intelligent Vehicles Symposium (IV) . IEEE, 2024
2024
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