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Dai, J.F.[Ji-Feng],
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Zeng, J.[Jia],
Li, Z.Q.[Zhi-Qi],
Yang, J.Z.[Jia-Zhi],
Deng, H.M.[Han-Ming],
Tian, H.[Hao],
Xie, E.[Enze],
Xie, J.W.[Jiang-Wei],
Chen, L.[Li],
Li, T.Y.[Tian-Yu],
Li, Y.[Yang],
Gao, Y.[Yulu],
Jia, X.S.[Xiao-Song],
Liu, S.[Si],
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Qiao, Y.[Yu],
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IEEE DOI
2403
For driving applications.
Laser radar, Cameras, Task analysis, Autonomous vehicles, Pipelines,
Surveys, 3D detection and segmentation,
bird's-eye-view (BEV) perception
BibRef
Fang, S.H.[Shao-Heng],
Wang, Z.[Zi],
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Ge, J.H.[Jun-Hao],
Chen, S.[Siheng],
TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint
Perception and Prediction in Vision-Centric Autonomous Driving,
CVPR23(1368-1378)
IEEE DOI
2309
BibRef
Liu, R.[Rui],
Wang, X.H.[Xiao-Han],
Wang, W.G.[Wen-Guan],
Yang, Y.[Yi],
Bird's-Eye-View Scene Graph for Vision-Language Navigation,
ICCV23(10934-10946)
IEEE DOI
2401
BibRef
Zhu, Z.J.[Zi-Jian],
Zhang, Y.C.[Yi-Chi],
Chen, H.[Hai],
Dong, Y.P.[Yin-Peng],
Zhao, S.[Shu],
Ding, W.B.[Wen-Bo],
Zhong, J.C.[Jia-Chen],
Zheng, S.[Shibao],
Understanding the Robustness of 3D Object Detection with Bird'View
Representations in Autonomous Driving,
CVPR23(21600-21610)
IEEE DOI
2309
BibRef
Luo, L.[Lun],
Zheng, S.[Shuhang],
Li, Y.X.[Yi-Xuan],
Fan, Y.Z.[Yong-Zhi],
Yu, B.[Beinan],
Cao, S.Y.[Si-Yuan],
Li, J.W.[Jun-Wei],
Shen, H.L.[Hui-Liang],
BEVPlace: Learning LiDAR-based Place Recognition using Bird's Eye
View Images,
ICCV23(8666-8675)
IEEE DOI Code:
WWW Link.
2401
BibRef
Wu, P.,
Chen, S.,
Metaxas, D.N.,
MotionNet: Joint Perception and Motion Prediction for Autonomous
Driving Based on Bird's Eye View Maps,
CVPR20(11382-11392)
IEEE DOI
2008
Task analysis, Object detection, Laser radar, Feature extraction, Trajectory
BibRef
Cao, P.[Pei],
Chen, H.[Hao],
Zhang, Y.[Ye],
Wang, G.[Gang],
Multi-View Frustum Pointnet for Object Detection in Autonomous
Driving,
ICIP19(3896-3899)
IEEE DOI
1910
multi-view frustum PointNet (MVFP), bird's eye view (BEV),
missed detection, recall
BibRef
Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Inertial Navigation, INS .