OpenDriveLab | 浦驾自动驾驶开放平台

Delving into the Devils of Bird's-Eye-View Perception: A Review, Evaluation and Recipe

Hongyang Li, Chonghao Sima, Jifeng Dai, Wenhai Wang, Lewei Lu, Huijie Wang, Enze Xie, Zhiqi Li, Hanming Deng, Hao Tian et al.
(arXiv, 2022); CITED BY 1; [Paper] [Code]
Review the most recent work on BEV perception and provide analysis of different solutions.

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, Qiao Yu, Jifeng Dai
ECCV 2022; CITED BY 87; [Paper] [Code]
A paradigm for autonomous driving that applies both Transformerand Temporal structure to generate BEV features.

PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark

Li Chen, Chonghao Sima, Yang Li, Zehan Zheng, Jiajie Xu, Xiangwei Geng, Hongyang Li, Conghui He, Jianping Shi, Yu Qiao, Junchi Yan
ECCV 2022(Oral) ; CITED BY 15; [Paper] [Code]
PersFormer adopts a unified 2D/3D anchor design andan auxiliary task to detect 2D/3D lanes, releasing one of the first large-scale real-world 3D lane datasets: OpenLane.

Policy Pre-Training for End-to-End Autonomous Driving via Self-Supervised Geometric Modeling

Penghao Wu, Li Chen, Hongyang Li, Xiaosong Jia, Junchi Yan, Yu Qiao
(arXiv, 2023); CITED BY 0; [Paper] [Code]
An intuitiveand straightforward fully self-supervised framework curated for the policy pre-training in visuomotor driving.

Goal-Oriented Autonomous Driving

Yihan Hu, Jiazhi Yang, Li Chen, Keyu Li, Chonghao Sima, Xizhou Zhu, Siqi Chai, Senyao Du, Tianwei Lin, Wenhai Wang, Lewei Lu, Xiaosong Jia, Qiang Liu, Jifeng Dai, Yu Qiao, Hongyang Li.
(arXiv, 2022); CITED BY 0; [Paper] [Code]
The first comprehensive frame-work up-to-date that incorporates full-stack driving tasks in one network.

Delving into the Devils of Bird"s-Eye-View Perception: A Review, Evaluation and Recipe

Hongyang Li, Chonghao Sima, Jifeng Dai, Wenhai Wang, Lewei Lu, Huijie Wang, Enze Xie, Zhiqi Li, Hanming Deng, Hao Tian et al.
(arXiv, 2022); CITED BY 1; [Paper] [Code]
Review the most recent work on BEV perception and provide analysis of different solutions.

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, Qiao Yu, Jifeng Dai
ECCV 2022; CITED BY 87; [Paper] [Code]
A paradigm for autonomous driving that applies both Transformerand Temporal structure to generate BEV features from multi-camera inputs.