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End-to-End paradigms use a unified framework to implement multi-tasks in an autonomous driving system.
Road-model-based and graph-structure-based hierarchical path-planning approach for autonomous vehicles
Junsoo Kim, Kichun Jo, Keonyup Chu, and Myoungho Sunwoo · 2014
Earlier work this paper cites.
Efficient sampling-based motion planning for on-road autonomous driving
Liang Ma, Jianru Xue, Kuniaki Kawabata, Jihua Zhu, Chao Ma, and Nanning Zheng · 2015
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Sgdr: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2016
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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End-to-end driving via conditional imitation learning
Felipe Codevilla, Matthias Müller, Antonio López, Vladlen Koltun, and Alexey Dosovitskiy · 2018
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Exploring the limitations of behavior cloning for autonomous driving
Felipe Codevilla, Eder Santana, Antonio M López, and Adrien Gaidon · 2019
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Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction
Yuning Chai, Benjamin Sapp, Mayank Bansal, and Dragomir Anguelov · 2019
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Learning to drive in a day
Alex Kendall, Jeffrey Hawke, David Janz, Przemyslaw Mazur, Daniele Reda, John-Mark Allen, Vinh-Dieu Lam, Alex Bewley, and Amar Shah · 2019
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Pnpnet: End-to-end perception and prediction with tracking in the loop
Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, and Raquel Urtasun · 2020
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Perceive, predict, and plan: Safe motion planning through interpretable semantic representations
Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, and Raquel Urtasun · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
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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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Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d
Jonah Philion and Sanja Fidler · 2020
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3d multi-object tracking: A baseline and new evaluation metrics
Xinshuo Weng, Jianren Wang, David Held, and Kris Kitani · 2020
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Transtrack: Multiple object tracking with transformer
Peize Sun, Jinkun Cao, Yi Jiang, Rufeng Zhang, Enze Xie, Zehuan Yuan, Changhu Wang, and Ping Luo · 2020
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Covernet: Multimodal behavior prediction using trajectory sets
Tung Phan-Minh, Elena Corina Grigore, Freddy A Boulton, Oscar Beijbom, and Eric M Wolff · 2020
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Vectornet: Encoding hd maps and agent dynamics from vectorized representation
Jiyang Gao, Chen Sun, Hang Zhao, Yi Shen, Dragomir Anguelov, Congcong Li, and Cordelia Schmid · 2020
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Adaptive sampling-based motion planning with a non-conservatively defensive strategy for autonomous driving
Zhaoting Li, Wei Zhan, Liting Sun, Ching-Yao Chan, and Masayoshi Tomizuka · 2020
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Survey of deep reinforcement learning for motion planning of autonomous vehicles
Szilárd Aradi · 2020
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Deformable detr: Deformable transformers for end-to-end object detection
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, and Jifeng Dai · 2020
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Centermask: Real-time anchor-free instance segmentation
Youngwan Lee and Jongyoul Park · 2020
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End-to-end urban driving by imitating a reinforcement learning coach
Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, and Luc Van Gool · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Center-based 3d object detection and tracking
Tianwei Yin, Xingyi Zhou, and Philipp Krahenbuhl · 2021
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Bevdet: High-performance multi-camera 3d object detection in bird-eye-view
Junjie Huang, Guan Huang, Zheng Zhu, Yun Ye, and Dalong Du · 2021
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Global correlation network: End-to-end joint multi-object detection and tracking
Xuewu Lin, Yu-ang Guo, and Jianqiang Wang · 2021
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Tnt: Target-driven trajectory prediction
Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Ben Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, et al · 2021
Earlier work this paper cites.
Deft: Detection embeddings for tracking
Mohamed Chaabane, Peter Zhang, J Ross Beveridge, and Stephen O’Hara · 2021
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Trajectory-guided control prediction for end-to-end autonomous driving: A simple yet strong baseline
Penghao Wu, Xiaosong Jia, Li Chen, Junchi Yan, Hongyang Li, and Yu Qiao · 2022
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Petr: Position embedding transformation for multi-view 3d object detection
Yingfei Liu, Tiancai Wang, Xiangyu Zhang, and Jian Sun · 2022
Cited alongside, same era.
A convnet for the 2020s
Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, and Saining Xie · 2022
Cited alongside, same era.
Focal sparse convolutional networks for 3d object detection
Yukang Chen, Yanwei Li, Xiangyu Zhang, Jian Sun, and Jiaya Jia · 2022
Cited alongside, same era.
Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers
Zhiqi Li, Wenhai Wang, Hongyang Li, Enze Xie, Chonghao Sima, Tong Lu, Yu Qiao, and Jifeng Dai · 2022
Cited alongside, same era.
Transfusion: Robust lidar-camera fusion for 3d object detection with transformers
Xuyang Bai, Zeyu Hu, Xinge Zhu, Qingqiu Huang, Yilun Chen, Hongbo Fu, and Chiew-Lan Tai · 2022
Cited alongside, same era.
Detr3d: 3d object detection from multi-view images via 3d-to-2d queries
Vad: Vectorized scene representation for efficient autonomous driving
Bo Jiang, Shaoyu Chen, Qing Xu, Bencheng Liao, Jiajie Chen, Helong Zhou, Qian Zhang, Wenyu Liu, Chang Huang, and Xinggang Wang · 2023
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Fully sparse transformer 3d detector for lidar point cloud
Diankun Zhang, Zhijie Zheng, Haoyu Niu, Xueqing Wang, and Xiaojun Liu · 2023
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Far3d: Expanding the horizon for surround-view 3d object detection
Xiaohui Jiang, Shuailin Li, Yingfei Liu, Shihao Wang, Fan Jia, Tiancai Wang, Lijin Han, and Xiangyu Zhang · 2023
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Eva: Exploring the limits of masked visual representation learning at scale
Yuxin Fang, Wen Wang, Binhui Xie, Quan Sun, Ledell Wu, Xinggang Wang, Tiejun Huang, Xinlong Wang, and Yue Cao · 2023
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Largekernel3d: Scaling up kernels in 3d sparse cnns
Yukang Chen, Jianhui Liu, Xiangyu Zhang, Xiaojuan Qi, and Jiaya Jia · 2023
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Yue Wang, Vitor Campagnolo Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, and Justin Solomon · 2022
Cited alongside, same era.
Sparse4d: Multi-view 3d object detection with sparse spatial-temporal fusion
Xuewu Lin, Tianwei Lin, Zixiang Pei, Lichao Huang, and Zhizhong Su · 2022
Cited alongside, same era.
Motr: End-to-end multiple-object tracking with transformer
Fangao Zeng, Bin Dong, Yuang Zhang, Tiancai Wang, Xiangyu Zhang, and Yichen Wei · 2022
Cited alongside, same era.
Simpletrack: Understanding and rethinking 3d multi-object tracking
Ziqi Pang, Zhichao Li, and Naiyan Wang · 2022
Cited alongside, same era.
Trackformer: Multi-object tracking with transformers
Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixe, and Christoph Feichtenhofer · 2022
Cited alongside, same era.
Mutr3d: A multi-camera tracking framework via 3d-to-2d queries
Tianyuan Zhang, Xuanyao Chen, Yue Wang, Yilun Wang, and Hang Zhao · 2022
Cited alongside, same era.
Hdmapnet: An online hd map construction and evaluation framework
Qi Li, Yue Wang, Yilun Wang, and Hang Zhao · 2022
Cited alongside, same era.
Later among the works it cites.
Voxelnext: Fully sparse voxelnet for 3d object detection and tracking
Yukang Chen, Jianhui Liu, Xiangyu Zhang, Xiaojuan Qi, and Jiaya Jia · 2023
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Bevdepth: Acquisition of reliable depth for multi-view 3d object detection
Yinhao Li, Zheng Ge, Guanyi Yu, Jinrong Yang, Zengran Wang, Yukang Shi, Jianjian Sun, and Zeming Li · 2023
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Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation
Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela L Rus, and Song Han · 2023
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Cross modal transformer: Towards fast and robust 3d object detection
Junjie Yan, Yingfei Liu, Jianjian Sun, Fan Jia, Shuailin Li, Tiancai Wang, and Xiangyu Zhang · 2023
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Bevformer v2: Adapting modern image backbones to bird’s-eye-view recognition via perspective supervision
Chenyu Yang, Yuntao Chen, Hao Tian, Chenxin Tao, Xizhou Zhu, Zhaoxiang Zhang, Gao Huang, Hongyang Li, Yu Qiao, Lewei Lu, et al · 2023
Later among the works it cites.
Exploring recurrent long-term temporal fusion for multi-view 3d perception
Chunrui Han, Jianjian Sun, Zheng Ge, Jinrong Yang, Runpei Dong, Hongyu Zhou, Weixin Mao, Yuang Peng, and Xiangyu Zhang · 2023
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Bevstereo: Enhancing depth estimation in multi-view 3d object detection with temporal stereo
Yinhao Li, Han Bao, Zheng Ge, Jinrong Yang, Jianjian Sun, and Zeming Li · 2023
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Petrv2: A unified framework for 3d perception from multi-camera images
Yingfei Liu, Junjie Yan, Fan Jia, Shuailin Li, Aqi Gao, Tiancai Wang, and Xiangyu Zhang · 2023
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Focal-petr: Embracing foreground for efficient multi-camera 3d object detection
Shihao Wang, Xiaohui Jiang, and Ying Li · 2023
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Sparse4d v2: Recurrent temporal fusion with sparse model
Xuewu Lin, Tianwei Lin, Zixiang Pei, Lichao Huang, and Zhizhong Su · 2023
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Sparse4d v3: Advancing end-to-end 3d detection and tracking
Xuewu Lin, Zixiang Pei, Tianwei Lin, Lichao Huang, and Zhizhong Su · 2023
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Motrv2: Bootstrapping end-to-end multi-object tracking by pretrained object detectors
Yuang Zhang, Tiancai Wang, and Xiangyu Zhang · 2023
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Motrv3: Release-fetch supervision for end-to-end multi-object tracking
En Yu, Tiancai Wang, Zhuoling Li, Yuang Zhang, Xiangyu Zhang, and Wenbing Tao · 2023
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Vectormapnet: End-to-end vectorized hd map learning
Yicheng Liu, Tianyuan Yuan, Yue Wang, Yilun Wang, and Hang Zhao · 2023
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End-to-end vectorized hd-map construction with piecewise bezier curve
Limeng Qiao, Wenjie Ding, Xi Qiu, and Chi Zhang · 2023
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Pivotnet: Vectorized pivot learning for end-to-end hd map construction
Wenjie Ding, Limeng Qiao, Xi Qiu, and Chi Zhang · 2023
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Query-centric trajectory prediction
Zikang Zhou, Jianping Wang, Yung-Hui Li, and Yu-Kai Huang · 2023
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Vip3d: End-to-end visual trajectory prediction via 3d agent queries
Junru Gu, Chenxu Hu, Tianyuan Zhang, Xuanyao Chen, Yilun Wang, Yue Wang, and Hang Zhao · 2023
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Sampling-based motion planning: A comparative review
Andreas Orthey, Constantinos Chamzas, and Lydia E Kavraki · 2023
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Is ego status all you need for open-loop end-to-end autonomous driving?
Zhiqi Li, Zhiding Yu, Shiyi Lan, Jiahan Li, Jan Kautz, Tong Lu, and Jose M Alvarez · 2023
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Dort: Modeling dynamic objects in recurrent for multi-camera 3d object detection and tracking
LIAN Qing, Tai Wang, Dahua Lin, and Jiangmiao Pang · 2023
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End-to-end 3d tracking with decoupled queries
Yanwei Li, Zhiding Yu, Jonah Philion, Anima Anandkumar, Sanja Fidler, Jiaya Jia, and Jose Alvarez · 2023
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Streammapnet: Streaming mapping network for vectorized online hd map construction
Tianyuan Yuan, Yicheng Liu, Yue Wang, Yilun Wang, and Hang Zhao · 2024
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Mtr++: Multi-agent motion prediction with symmetric scene modeling and guided intention querying
Shaoshuai Shi, Li Jiang, Dengxin Dai, and Bernt Schiele · 2024
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Path planning algorithms in the autonomous driving system: A comprehensive review
Mohamed Reda, Ahmed Onsy, Ali Ghanbari, and Amira Y Haikal · 2024
Closest in time.