A Low-cost and Ultra-lightweight Binary Neural Network for Traffic Signal Recognition
专题命中 感知 :autonomous driving(abstract);分类 cs.CV、eess.IV、cs.AI
视觉与机器人
自动驾驶感知、规划、BEV、占用预测、激光雷达和仿真评测。
专题命中 感知 :autonomous driving(abstract);分类 cs.CV、eess.IV、cs.AI
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV、cs.AI
Comments Won the 'Best Paper Runner-up Award' at the 2024 IEEE International Automated Vehicle Validation Conference (IAVVC 2024). Also accepted at the 1st Workshop on Semantic Reasoning and Goal Understanding in Robotics, at the Robotics Science and Systems Conference (RSS SemRob 2024)
专题命中 感知 :LiDAR(abstract);分类 cs.CV、eess.IV、cs.AI
Comments Accepted by AAAI 2025
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV、cs.AI
Comments Accepted at NeurIPS 2023
专题命中 感知 :autonomous driving(abstract);分类 cs.CV、eess.IV、cs.AI
Comments Winter Conference on Applications of Computer Vision (WACV), 2025
专题命中 感知 :autonomous driving(abstract);分类 cs.CV、eess.IV、cs.AI
Journal ref 2024 39th Conference on Design of Circuits and Integrated Systems (DCIS)
专题命中 感知 :autonomous driving(abstract);分类 cs.CV、eess.IV、cs.AI
Journal ref 2024 Journal of Systems Architecture (JSA)
专题命中 感知 :autonomous driving(abstract);分类 cs.CV、eess.IV、cs.AI
Comments Accepted to Safe Generative AI Workshop @ NeurIPS 2024: https://neurips.cc/virtual/2024/workshop/84705
Journal ref Safe Generative AI Workshop @ NeurIPS 2024
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV、cs.AI
专题命中 感知 :autonomous driving(abstract);LiDAR(abstract)
Comments 15 pages, 5 figures
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV、cs.AI
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV、cs.AI
Comments Submitted for possible journal publication
专题命中 感知 :LiDAR(abstract);分类 cs.RO、cs.CV、eess.IV
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV、cs.AI
Comments Accepted for 2024 IEEE International Conference on Intelligent Transportation Systems (ITSC 2024)
专题命中 感知 :BEV(abstract);分类 cs.RO、cs.CV、eess.IV
Comments Accepted to IEEE Transactions on Image Processing (TIP). The source code will be made publicly available at https://github.com/MasterHow/CoBEV
专题命中 感知 :LiDAR(abstract);分类 cs.RO、cs.CV、cs.AI
Comments Under review in RA-L. The first 2 authors contributed equally
专题命中 感知 :autonomous driving(abstract);self-driving(abstract)
Comments 9 pages
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV、eess.IV
Comments Accepted to IEEE Transactions on Intelligent Transportation Systems (T-ITS). The source code is publicly available at https://github.com/RuipingL/TransKD
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV、cs.AI
Comments This is preprint for the accepted paper
专题命中 感知 :self-driving(abstract);分类 cs.RO、cs.CV、cs.AI
专题命中 感知 :LiDAR(abstract);分类 cs.RO、cs.CV、cs.AI
Comments Presented at: 9. International ATZ-Live Automated Driving 2024
专题命中 感知 :self-driving(abstract);分类 cs.RO、cs.CV、cs.AI
Comments Project page: https://3d-gaussian-mapping.github.io; Code and data: https://github.com/NVlabs/3DGM
专题命中 感知 :LiDAR(abstract);分类 cs.RO、cs.CV、cs.AI
Comments Accepted to the IEEE ICRA Workshop on Field Robotics 2024
专题命中 感知 :LiDAR(abstract);分类 cs.RO、cs.CV、cs.AI
Comments RSS 2021. Project website with data and videos: https://ansivakumar.github.io/learned-visual-navigation/
专题命中 感知 :LiDAR(abstract);分类 cs.RO、cs.CV、cs.AI
专题命中 感知 :autonomous driving(abstract);分类 cs.CV、eess.IV、cs.AI
Comments Accepted in Future of Information and Communication Conference (FICC) 2024
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV、cs.AI
Comments Daniel Bogdoll, Svetlana Pavlitska, and Simon Klaus contributed equally. Accepted for publication at SSCI 2023
专题命中 感知 :occupancy(abstract);分类 cs.RO、cs.CV、cs.AI
Comments A multi-modal, ego-centric 3D perception dataset and benchmark for holistic 3D scene understanding. Project page: http://tai-wang.github.io/embodiedscan
专题命中 感知 :LiDAR(abstract);分类 cs.RO、cs.CV、eess.IV
Comments Accepted to IEEE Transactions on Intelligent Transportation Systems (T-ITS). The source code of CMX is publicly available at https://github.com/huaaaliu/RGBX_Semantic_Segmentation
专题命中 感知 :autonomous driving(abstract);LiDAR(abstract)
Comments 13 pages,22 figures;journal;submitted for possible publication