15.3.11.1 Bird's Eye View, Generation, Use for Driver Assistance

Chapter Contents (Back)
Navigation. Bird's Eye View.
See also Bird's Eye View Generation, BEV. For aerial traffic analysis:
See also Traffic Surveillance, Analysis, Aerial Images, Overhead, Airborne Sensors.

Li, H.Y.[Hong-Yang], Sima, C.H.[Chong-Hao], Dai, J.F.[Ji-Feng], Wang, W.H.[Wen-Hai], Lu, L.W.[Le-Wei], Wang, H.J.[Hui-Jie], 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], Shi, J.P.[Jian-Ping], Lin, D.[Dahua], Qiao, Y.[Yu],
Delving Into the Devils of Bird's-Eye-View Perception: A Review, Evaluation and Recipe,
PAMI(46), No. 4, April 2024, pp. 2151-2170.
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

Hu, S.K.[Sen-Kang], Fang, Z.R.[Zheng-Ru], Deng, Y.Q.[Yi-Qin], Chen, X.H.[Xian-Hao], Fang, Y.G.[Yu-Guang], Kwong, S.[Sam],
Toward Full-Scene Domain Generalization in Multi-Agent Collaborative Bird's Eye View Segmentation for Connected and Autonomous Driving,
ITS(26), No. 2, February 2025, pp. 1783-1796.
IEEE DOI 2502
Collaboration, Training, Autonomous vehicles, Bandwidth, Visualization, Metalearning, Image color analysis, bird's eye view segmentation BibRef

Meng, S.Y.[Shi-Yu], Sun, Y.X.[Yu-Xiang],
Semantic-MoSeg: Semantics-Assisted Moving-Obstacle Segmentation in Bird-Eye-View for Autonomous Driving,
ITS(26), No. 7, July 2025, pp. 9251-9262.
IEEE DOI 2507
Feature extraction, Motion segmentation, Semantic segmentation, Cameras, Semantics, Visualization, Laser radar, autonomous driving BibRef

Gao, S.[Shuang], Wang, Q.[Qiang], Sun, Y.X.[Yu-Xiang],
Seq-BEV: Semantic Bird-Eye-View Map Generation in Full View Using Sequential Images for Autonomous Driving,
ITS(26), No. 8, August 2025, pp. 11454-11465.
IEEE DOI 2508
Semantics, Feature extraction, Cameras, Transformers, Semantic segmentation, Image segmentation, autonomous driving BibRef

Liu, X.[Xiao], Zhong, J.[Jiaru], Sun, C.[Chao],
BEVMamba: Time Sequence Dense Bird's-Eye-View Perception Modeling With State Space Model,
ITS(26), No. 9, September 2025, pp. 13466-13476.
IEEE DOI Code:
WWW Link. 2510
Autonomous vehicles, Solid modeling, Object detection, Feature extraction, Aggregates, Semantics, Encoding, 3d occupancy prediction BibRef


Ye, X.[Xin], Yaman, B.[Burhaneddin], Cheng, S.[Sheng], Tao, F.[Feng], Mallik, A.[Abhirup], Ren, L.[Liu],
BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance,
CVPR25(1495-1504)
IEEE DOI 2508
Training, Solid modeling, Computational modeling, Noise reduction, Noise, Object detection, Diffusion models, Meteorology BibRef

Fu, J.H.[Jia-Hui], Gong, Y.[Yue], Wang, L.T.[Lu-Ting], Zhang, S.F.[Shi-Feng], Zhou, X.[Xu], Liu, S.[Si],
Generative Map Priors for Collaborative BEV Semantic Segmentation,
CVPR25(11919-11928)
IEEE DOI 2508
Technological innovation, Semantic segmentation, Collaboration, Object detection, Diffusion models, Feature extraction, bev semantic segmentation BibRef

Duan, Z.P.[Zai-Peng], Dang, C.X.[Chen-Xu], Hu, X.Z.[Xu-Zhong], An, P.[Pei], Ding, J.F.[Jun-Feng], Zhan, J.[Jie], Xu, Y.[YunBiao], Ma, J.[Jie],
SDGOCC: Semantic and Depth-Guided Bird's-Eye View Transformation for 3D Multimodal Occupancy Prediction,
CVPR25(6751-6760)
IEEE DOI Code:
WWW Link. 2508
Accuracy, Laser radar, Depth measurement, Semantics, Pipelines, Feature extraction, Real-time systems, Robustness, Data mining, multimodal fusion BibRef

Monteagudo, H.P.[Henrique Piñeiro], Taccari, L.[Leonardo], Pjetri, A.[Aurel], Sambo, F.[Francesco], Salti, S.[Samuele],
RendBEV: Semantic Novel View Synthesis for Self-Supervised Bird's Eye View Segmentation,
WACV25(535-544)
IEEE DOI 2505
Training, Annotations, Semantic segmentation, Computational modeling, Semantics, Estimation, Trajectory BibRef

Hazra, S.[Saheli], Das, S.[Sudip], Choudhary, R.[Rohit], Das, A.[Arindam], Sistu, G.[Ganesh], Eising, C.[Ciarán], Bhattacharya, U.[Ujjwal],
Reflective Teacher: Semi-Supervised Multimodal 3D Object Detection in Bird's-Eye-View via Uncertainty Measure,
WACV25(1649-1659)
IEEE DOI 2505
Laser radar, Uncertainty, Measurement uncertainty, Semantics, Object detection, Cameras, Reliability, Labeling, semi supervised learning BibRef

Yu, P.[Pinrui], Kong, Z.[Zhenglun], Zhao, P.[Pu], Dong, P.[Peiyan], Tang, H.[Hao], Sun, F.[Fei], Lin, X.[Xue], Wang, Y.Z.[Yan-Zhi],
Q-TempFusion: Quantization-Aware Temporal Multi-Sensor Fusion on Bird's-Eye View Representation,
WACV25(5489-5499)
IEEE DOI 2505
Performance evaluation, Solid modeling, Quantization (signal), Computational modeling, Predictive models, Real-time systems, Standards BibRef

Glisson, C.[Calvin], Chen, Q.X.[Qiu-Xiao],
HSDA: High-Frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation,
WACV25(8834-8843)
IEEE DOI Code:
WWW Link. 2505
Image segmentation, Frequency-domain analysis, Image edge detection, Noise, Object detection, Data augmentation, Autonomous vehicles BibRef

Witte, C.[Christian], Behley, J.[Jens], Stachniss, C.[Cyrill], Raaijmakers, M.[Marvin],
Epipolar Attention Field Transformers for Bird's Eye View Semantic Segmentation,
WACV25(8660-8669)
IEEE DOI 2505
Image coding, Attention mechanisms, Semantic segmentation, Semantics, Cameras, Transformers, Feature extraction, Encoding, autonomous driving BibRef

Gui, X.T.[Xing-Tai], Huang, T.T.[Teng-Teng], Shao, H.[Haonan], Yao, H.T.[Hao-Tian], Zhang, C.[Chi],
FipTR: A Simple yet Effective Transformer Framework for Future Instance Prediction in Autonomous Driving,
ECCV24(LXXXVII: 19-35).
Springer DOI 2412
Code:
WWW Link. Bird's Eye View. BibRef

Tsao, L.W.[Li-Wu], Tsui, H.T.[Hao-Tang], Tuan, Y.R.[Yu-Rou], Chen, P.C.[Pei-Chi], Wang, K.L.[Kuan-Lin], Wu, J.C.[Jhih-Ciang], Shuai, H.H.[Hong-Han], Cheng, W.H.[Wen-Huang],
Trajprompt: Aligning Color Trajectory with Vision-language Representations,
ECCV24(XLI: 275-292).
Springer DOI 2412
Project:
WWW Link. BibRef

Gu, X.[Xunjiang], Song, G.[Guanyu], Gilitschenski, I.[Igor], Pavone, M.[Marco], Ivanovic, B.[Boris],
Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention,
ECCV24(LXXXI: 412-428).
Springer DOI 2412
BibRef

Fan, S.[Sheng], Liu, R.[Rui], Wang, W.G.[Wen-Guan], Yang, Y.[Yi],
Navigation Instruction Generation with BEV Perception and Large Language Models,
ECCV24(XXII: 368-387).
Springer DOI 2412
BibRef

Liu, C.[Chang], Zhu, M.X.[Ming-Xu], Ma, C.[Cong],
H-v2x: A Large Scale Highway Dataset for BEV Perception,
ECCV24(I: 139-157).
Springer DOI 2412
BibRef

Chang, M.[Mincheol], Moon, S.[Seokha], Mahjourian, R.[Reza], Kim, J.[Jinkyu],
BEVMap: Map-Aware BEV Modeling for 3D Perception,
WACV24(7404-7413)
IEEE DOI 2404
Bird's-Eye View. Image segmentation, Solid modeling, Uncertainty, Roads, Estimation, Object detection, Applications, Autonomous Driving, Algorithms, Image recognition and understanding BibRef

Wei, J.[Jiale], Zheng, J.W.[Jun-Wei], Liu, R.P.[Rui-Ping], Hu, J.[Jie], Zhang, J.M.[Jia-Ming], Stiefelhagen, R.[Rainer],
Onebev: Using One Panoramic Image for Bird's-eye-view Semantic Mapping,
ACCV24(X: 377-393).
Springer DOI 2412
BibRef

Teng, Z.F.[Zhi-Feng], Zhang, J.M.[Jia-Ming], Yang, K.L.[Kai-Lun], Peng, K.Y.[Kun-Yu], Shi, H.[Hao], Reiß, S.[Simon], Cao, K.[Ke], Stiefelhagen, R.[Rainer],
360BEV: Panoramic Semantic Mapping for Indoor Bird's-Eye View,
WACV24(372-381)
IEEE DOI 2404
Semantic segmentation, Semantics, Benchmark testing, Indoor environment, Image sequences, Algorithms, Image recognition and understanding BibRef

Fang, S.H.[Shao-Heng], Wang, Z.[Zi], Zhong, Y.Q.[Yi-Qi], 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 .


Last update:Oct 6, 2025 at 14:07:43