Bird's-Eye-View Representation

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2 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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How to Reduce Localization Ambiguity? Geometry-Semantic Constrained BEV Representation Learning for Satellite-Ground Localization
Sep 30, 2026Junming Feng, Panwang Xia, Qiong Wu +8Representation Learning Cross-View Geo-Localization
The Hong Kong Polytechnic University, Hong Kong · Southern University of Science and Technology · Wuhan University, Wuhan, China +2
GRACE: Geometry- and Ray-Aware Camera-Efficient Multi-View Pedestrian Tracking
Sep 15, 2026Taigo Sakai, Kazuhiro Hotta, Hiroki Kouno +1Bird's-Eye-View Representation 3D MOT
Meijo university · Chubu Electric Power Co., Inc. · Department of Science Technology 1-1 Higashishin-cho, Higashi-ku, 1-501, Shiogamaguchi, Nagoya 461-8680, Japan Tempaku, Nagoya 468-8501, Japan
NCGR: Noise-Conditional Gated Rectification for Camera Extrinsic Perturbations in BEV 3D Object Detection
Aug 4, 2026Wenbin Pan, Wanhao Liu, Liwei Luo +3Bird's-Eye-View Representation 3D Object Detection
Guangdong University of Technology, Guangzhou, China
MATS: A novel multi-modality multi-task learning framework for 3D perception in autonomous driving
Jul 27, 2026Junchen Huo, Wanming Hao, Song Wang +3Mixture of Experts Camera-LiDAR Fusion
School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China · Tianping College of Suzhou University of Science and Technology, Suzhou 215009, China · department of computer science, Toronto Metropolitan University, Toronto M5B2K3, Canada
Variational Inference for Bird's Eye View Segmentation in Autonomous Driving
Jul 16, 2026Jingyue Shi, Huaicheng Li, Junhui Zhao +1Multi-View Learning Bird's-Eye-View Representation
ViCo3D: Empowering LiDAR-based Collaborative 3D Object Detection with Vision Foundation Models
Jul 14, 2026Haojie Ren, Songrui Luo, Lingfeng Wang +6Lidar-Based 3D Object Detection Vision Foundation Models
University of Science and Technology of China
FlashBEV: Fast and Memory-Efficient Exact BEV Transformation with IO-Awareness
Jul 11, 2026Shunsuke Yokokawa, Hironori KasaharaGPU Kernel Optimization Autonomous Driving Perception
Waseda University, Tokyo, Japan · T2, Inc., Tokyo, Japan
MVDGC: Joint 3D and 2D Multi-view Pedestrian Detection via Dual Geometric Constraints
Jun 30, 2026Thinh Phan, Hao Vo, Khoa Vo +3Multi-View Geometry Multi-View 3D Object Detection
AICV Lab, EECS Department, University of Arkansas · University of Information Technology · Posts and Telecommunications Institute of Technology (PTIT), Vietnam
AerialFusionMapNet: Online HD Map Construction with Aerial-Onboard BEV Fusion
Jun 23, 2026Daniel Lengerer, Mathias Pechinger, Klaus Bogenberger +1Simultaneous Localization and Mapping HD Map Construction
Technical University of Applied Sciences Augsburg, Germany. · Technical University of Munich, Germany.
BEV-Denoise: Learning Intrinsic Noise for Accurate Bird's-Eye-View Semantic Segmentation
Jun 22, 2026Dooseop Choi, Kyounghwan An, Kyoung-Wook MinBird's-Eye-View Representation Semantic Segmentation
Electronics and Telecommunications Research Institute (ETRI) · University of Science and Technology (UST)
Geometry-Aware Fisheye-LiDAR Fusion for Robust 3D Object Detection in Low-Overlap Setups
Jun 7, 2026Xiangzhong Liu, Xihao Wang, Hao ShenCamera-LiDAR Fusion Bird's-Eye-View Representation
Technical University of Munich, 80333 Munich, Germany
MB-Loc: Multi-planar Bird's-eye-view Localization in outdoor LiDAR scenes
Jun 7, 2026Ayaan Choudhury, Preet Savalia, Anirudh Pydah +1Bird's-Eye-View Representation LiDAR Localization
Indian Institute of Technology Jodhpur, India
Cross-View Urban Traffic Dataset: Drone-Supervised Ground Truth for Monocular Bird's-Eye View Localization
Jun 5, 2026Prakhar Bhardwaj, Simone Weikl, Kilian Mang +1Intelligent Transportation Systems Autonomous Driving Perception
Faculty of Computer Science and Mathematics, OTH Regensburg
Dexterity-BEV: Aligning 3D World and Actions for Generalizable Robot Policies Learning
Jun 1, 2026Huayi Zhou, Wei Gao, Dekun Lu +12Generalization in Robotic Manipulation Cross-Embodiment Robot Learning
1DexForce Technology · 2The Chinese University of Hong Kong, Shenzhen
BEVIO: Efficient Bird's-Eye-View based Sparse-Update Visual-Inertial Odometry for Lunar Day-Night Navigation
May 30, 2026Mohit Singh, Shehryar Khattak, Ashish Goel +3Robot Navigation Visual Odometry
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA. · Autonomous Robots Lab at the Norwegian University of Science and Technology, Trondheim, Norway
Can BEV Perception Gracefully Degrade under Sensor Failures?
May 29, 2026Haifa Zhang, Yijing Wang, Haoyu Wang +2Missing-Modality Learning Multimodal Robustness
Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System, School of Electrical and Information Engineering, Tianjin University, Tianjin, China · Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, China
GA-VLN: Geometry-Aware BEV Representation for Efficient Vision-Language Navigation
May 21, 2026Jiahao Yang, Zihan Wang, Xiangyang Li +4Efficient VLM Inference Geometric Representation Learning
State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, Beijing · University of Chinese Academy of Sciences, Beijing · School of Computing, National University of Singapore +2
TriBand-BEV: Real-Time LiDAR-Only 3D Pedestrian Detection via Height-Aware BEV and High-Resolution Feature Fusion
May 12, 2026Mohammad Khoshkdahan, Alexey VinelLidar-Based 3D Object Detection Bird's-Eye-View Representation
Karlsruhe Institute of Technology · Karlsruhe, Germany
Learning Ego-Centric BEV Representations from a Perspective-Privileged View: Cross-View Supervision for Online HD Map Construction
May 12, 2026Daniel Lengerer, Mathias Pechinger, Klaus Bogenberger +1Simultaneous Localization and Mapping HD Map Construction
Technical University of Applied Sciences Augsburg, Germany · Technical University of Munich, Germany
Mobile Traffic Camera Calibration from Road Geometry for UAV-Based Traffic Surveillance
May 12, 2026Alexey Popov, Natalia Trukhina, Vadim VashkelisBird's-Eye-View Representation UAV Remote Sensing
Embedded Intelligence Lab
REFNet++: Multi-Task Efficient Fusion of Camera and Radar Sensor Data in Bird's-Eye Polar View
May 12, 2026Kavin Chandrasekaran, Sorin Grigorescu, Gijs Dubbelman +1Camera-Radar Fusion Bird's-Eye-View Representation
Elektrobit Automotive GmbH · Transilvania University of Brasov · Eindhoven University of Technology
Height-Guided Projection Reparameterization for Camera-LiDAR Occupancy
May 6, 2026Yuan Wu, Zhiqiang Yan, Jiawei Lian +2Camera-LiDAR Fusion Bird's-Eye-View Representation
1Nanjing University of Science and Technology · 2National University of Singapore
GOLD-BEV: GrOund and aeriaL Data for Dense Semantic BEV Mapping of Dynamic Scenes
Apr 21, 2026Joshua Niemeijer, Alaa Eddine Ben Zekri, Reza Bahmanyar +3Autonomous Driving Perception Bird's-Eye-View Representation
German Aerospace Center (DLR) · Digital Research Center of Sfax
Localization-Guided Foreground Augmentation in Autonomous Driving
Apr 21, 2026Jiawei Yong, Deyuan Qu, Qi Chen +2Simultaneous Localization and Mapping Autonomous Driving Perception
Toyota Motor Corporation, Japan · Toyota Motor North America, USA
FlatLands: Generative Floormap Completion From a Single Egocentric View
Mar 16, 2026Subhransu S. Bhattacharjee, Dylan Campbell, Rahul ShomeRobot Navigation Bird's-Eye-View Representation
School of Computing, The Australian National University
BEVLM: Distilling Semantic Knowledge from LLMs into Bird's-Eye View Representations
Mar 6, 2026Thomas Monninger, Shaoyuan Xie, Qi Alfred Chen +1VLMs for Autonomous Driving End-to-End Autonomous Driving
Mercedes-Benz Research & Development North America, San Jose, USA · University of California, Irvine, USA
PROBE: Probabilistic Occupancy BEV Encoding with Analytical Translation Robustness for 3D Place Recognition
Mar 6, 2026Jinseop Lee, Byoungho Lee, Gichul YooLiDAR Place Recognition Bird's-Eye-View Representation
SK Intellix, Seoul, Republic of Korea
Fast-BEV++: Fast by Algorithm, Deployable by Design
Dec 9, 2025Yuanpeng Chen, Hui Song, Sheng Yang +5Autonomous Driving Perception Bird's-Eye-View Representation
iMotion Automotive Technology (Suzhou) Co., Ltd · School of Data Science, Fudan University · Independent Researcher
BEV-ODOM2: Enhanced BEV-based Monocular Visual Odometry with PV-BEV Fusion and Dense Flow Supervision for Ground Robots
Sep 18, 2025Yufei Wei, Chenxiao Hu, Wangtao Lu +5Visual Odometry Bird's-Eye-View Representation
LightOcc: Lightweight Spatial Embedding for Efficient Vision-based 3D Occupancy Prediction
Dec 8, 2024Jinqing Zhang, Yanan Zhang, Wenrui Cai +2Bird's-Eye-View Representation 3D Occupancy Prediction
State Key Laboratory of Virtual Reality Technology and Systems, Beihang University. · School of Computer Science and Information Engineering, Hefei University of Technology. · Hangzhou Innovation Institute, Beihang University.

Sep 30, 2026, cs.CVJ/K move · Enter open · S save

How to Reduce Localization Ambiguity? Geometry-Semantic Constrained BEV Representation Learning for Satellite-Ground Localization

Junming Feng, Panwang Xia, Qiong Wu, Xudong Lu+7

The Hong Kong Polytechnic University, Hong Kong · Southern University of Science and Technology · Wuhan University, Wuhan, China+2

Representation Learning Cross-View Geo-Localization Geospatial Representation Learning Geometric Representation Learning Bird's-Eye-View Representation

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Satellite-ground localization estimates the planar position and yaw orientation of a ground camera within a geo-referenced satellite image. Most recent methods map ground and satellite features into a shared bird's-eye-view (BEV) space and establish spatial correspondences. However, insufficient depth constraints can assign one ground feature to different distances along a viewing direction, creating geometric ambiguity in BEV feature placement. Similar appearances at different locations can also create descriptor matching ambiguity, while existing descriptor learning lacks explicit semantic supervision to distinguish them. We propose GeoSem-BEV, a geometry-semantic constrained BEV representation learning method. Radial depth supervision constrains distance assignment, and vertical height supervision constrains height aggregation. Shared explicit semantic supervision promotes consistent semantic predictions across views and helps distinguish locations with similar semantics. These constraints improve feature placement and descriptor discriminability, enhancing state-of-the-art BEV localization models. On VIGOR with unknown orientation, GeoSem-BEV reduces mean orientation error by 37.2% and 38.1% in the cross-area and same-area settings, respectively. The corresponding errors are reduced by 10.8% and 15.6% on DReSS-D. On KITTI-CVL, it reduces same-area mean orientation error by 26.8% under 10 degree orientation noise.

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