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Vehicle-to-Vehicle technologies have enabled autonomous vehicles to share information to see through occlusions, greatly enhancing perception performance.
Spatial transformer networks
Max Jaderberg, Karen Simonyan, Andrew Zisserman, et al · 2015
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3d object recognition using convolutional neural networks with transfer learning between input channels
Luís A Alexandre · 2016
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Monocular 3d object detection for autonomous driving
Xiaozhi Chen, Kaustav Kundu, Ziyu Zhang, Huimin Ma, Sanja Fidler, and Raquel Urtasun · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Multi-view 3d object detection network for autonomous driving
Xiaozhi Chen, Huimin Ma, Ji Wan, Bo Li, and Tian Xia · 2017
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Amodal detection of 3d objects: Inferring 3d bounding boxes from 2d ones in rgb-depth images
Zhuo Deng and Longin Jan Latecki · 2017
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Carla: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Frustum pointnets for 3d object detection from rgb-d data
Charles R Qi, Wei Liu, Chenxia Wu, Hao Su, and Leonidas J Guibas · 2018
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M3d-rpn: Monocular 3d region proposal network for object detection
Garrick Brazil and Xiaoming Liu · 2019
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Argoverse: 3d tracking and forecasting with rich maps
Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, et al · 2019
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Pointpillars: Fast encoders for object detection from point clouds
Alex H Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom · 2019
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Disentangling monocular 3d object detection
Andrea Simonelli, Samuel Rota Bulo, Lorenzo Porzi, Manuel López-Antequera, and Peter Kontschieder · 2019
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Frustum convnet: Sliding frustums to aggregate local point-wise features for amodal 3d object detection
Zhixin Wang and Kui Jia · 2019
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nuscenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
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Leveraging existing high-occupancy vehicle lanes for mixed-autonomy traffic management with emerging connected automated vehicle applications
Yi Guo and Jiaqi Ma · 2020
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Evaluating the effectiveness of integrated connected automated vehicle applications applied to freeway managed lanes
Yi Guo, Jiaqi Ma, Edward Leslie, and Zhitong Huang · 2020
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Empirical analysis of a freeway bundled connected-and-automated vehicle application using experimental data
Jiaqi Ma, Edward Leslie, Amir Ghiasi, Zhitong Huang, and Yi Guo · 2020
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Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d
Jonah Philion and Sanja Fidler · 2020
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Scalability in perception for autonomous driving: Waymo open dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, et al · 2020
Cited alongside, same era.
Pointpainting: Sequential fusion for 3d object detection
Sourabh Vora, Alex H Lang, Bassam Helou, and Oscar Beijbom · 2020
Cited alongside, same era.
V2vnet: Vehicle-to-vehicle communication for joint perception and prediction
Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, and Raquel Urtasun · 2020
Cited alongside, same era.
A nationwide impact assessment of automated driving systems on traffic safety using multiagent traffic simulations
Sou Kitajima, Hanna Chouchane, Jacobo Antona-Makoshi, Nobuyuki Uchida, and Jun Tajima · 2022
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Latency-aware collaborative perception
Zixing Lei, Shunli Ren, Yue Hu, Wenjun Zhang, and Siheng Chen · 2022
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Zhiqi Li, Wenhai Wang, Hongyang Li, Enze Xie, Chonghao Sima, Tong Lu, Qiao Yu, and Jifeng Dai · 2022
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Bevfusion: A simple and robust lidar-camera fusion framework
Tingting Liang, Hongwei Xie, Kaicheng Yu, Zhongyu Xia, Zhiwei Lin, Yongtao Wang, Tao Tang, Bing Wang, and Zhi Tang · 2022
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Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation
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Junjie Huang, Guan Huang, Zheng Zhu, and Dalong Du · 2021
Cited alongside, same era.
Learning distilled collaboration graph for multi-agent perception
Yiming Li, Shunli Ren, Pengxiang Wu, Siheng Chen, Chen Feng, and Wenjun Zhang · 2021
Cited alongside, same era.
A proof-of-concept field experiment on cooperative lane change maneuvers using a prototype connected automated vehicle testing platform
Kelli Raboy, Jiaqi Ma, Edward Leslie, and Fang Zhou · 2021
Cited alongside, same era.
Opportunities and challenges in cooperative road vehicle automation
Steven E Shladover · 2021
Cited alongside, same era.
Pointaugmenting: Cross-modal augmentation for 3d object detection
Chunwei Wang, Chao Ma, Ming Zhu, and Xiaokang Yang · 2021
Cited alongside, same era.
Opencda: an open cooperative driving automation framework integrated with co-simulation
Runsheng Xu, Yi Guo, Xu Han, Xin Xia, Hao Xiang, and Jiaqi Ma · 2021
Cited alongside, same era.
Lif-seg: Lidar and camera image fusion for 3d lidar semantic segmentation
Lin Zhao, Hui Zhou, Xinge Zhu, Xiao Song, Hongsheng Li, and Wenbing Tao · 2021
Cited alongside, same era.
Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela Rus, and Song Han · 2022
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A data-driven model for pedestrian behavior classification and trajectory prediction
Vasileia Papathanasopoulou, Ioanna Spyropoulou, Harris Perakis, Vassilis Gikas, and Eleni Andrikopoulou · 2022
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Maxim: Multi-axis mlp for image processing
Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan Bovik, and Yinxiao Li · 2022
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Maxvit: Multi-axis vision transformer
Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan Bovik, and Yinxiao Li · 2022
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Robustness and adaptability of reinforcement learning-based cooperative autonomous driving in mixed-autonomy traffic
Rodolfo Valiente, Behrad Toghi, Ramtin Pedarsani, and Yaser P Fallah · 2022
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Detr3d: 3d object detection from multi-view images via 3d-to-2d queries
Yue Wang, Vitor Campagnolo Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, and Justin Solomon · 2022
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V2xp-asg: Generating adversarial scenes for vehicle-to-everything perception
Hao Xiang, Runsheng Xu, Xin Xia, Zhaoliang Zheng, Bolei Zhou, and Jiaqi Ma · 2022
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Cobevt: Cooperative bird’s eye view semantic segmentation with sparse transformers
Runsheng Xu, Zhengzhong Tu, Hao Xiang, Wei Shao, Bolei Zhou, and Jiaqi Ma · 2022
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V2x-vit: Vehicle-to-everything cooperative perception with vision transformer
Runsheng Xu, Hao Xiang, Zhengzhong Tu, Xin Xia, Ming-Hsuan Yang, and Jiaqi Ma · 2022
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Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communication
Runsheng Xu, Hao Xiang, Xin Xia, Xu Han, Jinlong Li, and Jiaqi Ma · 2022
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Fusionrcnn: Lidar-camera fusion for two-stage 3d object detection
Xinli Xu, Shaocong Dong, Lihe Ding, Jie Wang, Tingfa Xu, and Jianan Li · 2022
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V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception
Runsheng Xu, Xin Xia, Jinlong Li, Hanzhao Li, Shuo Zhang, Zhengzhong Tu, Zonglin Meng, Hao Xiang, Xiaoyu Dong, Rui Song, et al · 2023
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