SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection
专题命中 感知 :self-driving(abstract);分类 cs.RO、cs.CV、eess.IV
Comments ECCV 2020
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 :self-driving(abstract);分类 cs.RO、cs.CV、eess.IV
Comments ECCV 2020
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV、eess.IV
Comments Accepted by IEEE Robotics and Automation Letters (RA-L); 8 Figures, 3 Tables; Code is available at https://github.com/AHupuJR/RFNet
专题命中 感知 :LiDAR(abstract);分类 cs.RO、cs.CV、eess.IV
专题命中 感知 :self-driving(abstract);分类 cs.RO、cs.CV、cs.AI
Comments independent class IoU scores corrected for BiSiNet architecture
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV、eess.IV
Comments 2020 IEEE IV Symposium
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV、eess.IV
Comments Accepted by IEEE TPAMI. Project page: https://github.com/QingyongHu/SoTA-Point-Cloud
专题命中 感知 :self-driving(abstract);分类 cs.RO、cs.CV、eess.IV
Comments 8 pages, 7 figures, submitted to NIPS 2020
专题命中 感知 :self-driving(abstract);分类 cs.RO、cs.CV、eess.IV
Comments Accepted for publication at IEEE Intelligent Vehicles Symposium (IV) 2020
专题命中 感知 :autonomous driving(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 CVPR 2020 accepted
专题命中 感知 :autonomous driving(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 Under submission; added acknowledgements
专题命中 感知 :LiDAR(abstract);分类 cs.RO、cs.CV、eess.IV
Comments Accepted for publication in IEEE Robotics and Automation Letters with presentation at IROS 2019
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV、eess.IV
Comments IROS 2019 Workshop on Towards Cognitive Vehicles
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV、cs.AI
Comments Accepted for Oral Presentation at IEEE Intelligent Transportation Systems Conference (ITSC) 2019
专题命中 感知 :autonomous driving(abstract);LiDAR(abstract)
Comments 9 pages, 6 figures, conference version
专题命中 感知 :autonomous driving(abstract);LiDAR(abstract)
Comments The first three authors contributed equally. Accepted by AAMAS 2019
专题命中 感知 :autonomous driving(abstract);LiDAR(abstract)
Comments 9 pages, 3 figures, Supplementary information is attached in 'Ancillary files'
Journal ref Science 23 Feb 2018, Vol. 359, Issue 6378, pp. 887-891
专题命中 感知 :occupancy(abstract);分类 cs.RO、cs.CV、cs.AI
专题命中 感知 :occupancy(abstract);分类 cs.RO、cs.CV、cs.AI
Comments TPAMI 2018. Code and data are available at: https://github.com/Yang7879/3D-RecGAN-extended. This article extends from arXiv:1708.07969
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV、cs.AI
Comments ECCV workshop; Anticipating Human Behaviour 2018; 16 page 7 figures
专题命中 感知 :occupancy(abstract);分类 cs.RO、cs.CV、cs.AI
Comments Published at ICRA 2018
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV、cs.AI
Comments International Conference on Robotics and Automation (ICRA), 2017. Video summary: http://youtu.be/rbZ8ck_1nZk
专题命中 感知 :LiDAR(abstract);分类 cs.RO、cs.CV、cs.AI
Comments 35 pages, 31 figures, 2 tables; added new results
专题命中 感知 :occupancy(abstract);分类 cs.RO、cs.CV、cs.AI
Comments ICCV Workshops 2017
专题命中 感知 :occupancy(abstract);分类 cs.RO、cs.CV、cs.AI
专题命中 感知 :occupancy(abstract);分类 cs.RO、cs.CV、cs.AI
InCaRPose:车内相对相机姿态估计模型与数据集
机构 * University of Wuppertal(伍珀塔尔大学) ; Aptiv(Aptiv公司)
专题命中 感知 :autonomous driving(abstract,comments);分类 cs.CV、cs.AI
AI总结 本文提出InCaRPose模型,基于Transformer架构实现车内环境下高精度相机姿态估计,通过合成数据训练实现对鱼眼镜头畸变的鲁棒性,并在7-Scenes数据集上表现优异。
Comments Accepted at the CVPR 2026 Workshop on Autonomous Driving (WAD)
专题命中 感知 :autonomous driving(abstract,comments);分类 cs.CV、cs.AI
Comments Accepted CVPR 2025 Workshop on Distillation of Foundation Models for Autonomous Driving
专题命中 感知 :BEV(abstract);分类 cs.RO、cs.CV;autonomous driving(comments)
Comments CVPR 2025 Workshop on Autonomous Driving (WAD)