4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
专题命中 感知 :LiDAR(abstract);分类 cs.CV、cs.AI
Comments CVPR'19
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 :LiDAR(abstract);分类 cs.CV、cs.AI
Comments CVPR'19
专题命中 感知 :autonomous driving(abstract);分类 cs.CV、cs.AI
专题命中 感知 :LiDAR(abstract);分类 cs.CV、cs.AI
Comments 5 pages
Journal ref 2018 12th International Conference on Open Source Systems and Technologies (ICOSST), Lahore, Pakistan, 2018, pp. 71-75
专题命中 感知 :LiDAR(abstract);分类 cs.RO、cs.CV
Comments 7 pages, 10 figures, submitted to IROS 2019
专题命中 感知 :autonomous driving(abstract);分类 cs.CV、cs.AI
Comments 6 pages, 2 figures, our codes are available at https://github.com/cardwing/Codes-for-Lane-Detection
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.AI
Comments 7 pages; 8 figures
Journal ref IEEE Intelligent Vehicles Symposium (IV), 2019
专题命中 感知 :autonomous driving(abstract);分类 cs.CV、cs.AI
专题命中 感知 :autonomous driving(abstract);分类 cs.CV、cs.AI
Comments arXiv admin note: text overlap with arXiv:1711.11585 by other authors
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.AI
Comments 6 pages, 5 figures, accepted at 2019 International Joint Conference on Neural Networks(IJCNN)
专题命中 感知 :autonomous driving(abstract);分类 cs.CV、eess.IV
Comments 10 pages, 5 figures
专题命中 感知 :LiDAR(abstract);分类 cs.RO、cs.CV
Comments This is the accepted version of the following article: Kragh M, Underwood J. Multimodal obstacle detection in unstructured environments with conditional random fields. J Field Robotics. 2019, 1-20., which has been published in final form at https://doi.org/10.1002/rob.21866
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV
Comments 8 pages, 8 figures, accepted by IEEE International Conference on Robotics and Automation (ICRA) 2019
专题命中 感知 :LiDAR(abstract);分类 cs.RO、cs.CV
Comments The dataset is available at https://usa.honda-ri.com/H3D
Journal ref IEEE International Conference on Robotics and Automation (ICRA), 2019
专题命中 感知 :occupancy(abstract);分类 cs.CV、eess.IV
Comments 6 pages. arXiv admin note: text overlap with arXiv:1804.05164
专题命中 感知 :LiDAR(abstract);分类 cs.RO、cs.CV
Comments 8 pages, 7 figures, Submitted to 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019) and IEEE Robotics and Automation Letters
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.AI
Comments Accepted at AAMAS 2019
专题命中 感知 :LiDAR(abstract);分类 cs.RO、cs.CV
专题命中 感知 :trajectory planning(abstract);分类 cs.RO、cs.CV
Comments 8 pages, 8 figures, 2 tables
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV
Comments Web-site: http://rovislab.com/gol.html
Journal ref Int. Conf. on Robotics and Automation ICRA 2018
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV
Comments Presented in 2018 IEEE Intelligent Vehicles Symposium (IV)
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.AI
Comments Further results and demo videos can be viewed at: https://wayve.ai/blog/l2diad
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV
Comments Project report and analysis for the Duckietown Project (https://www.duckietown.org/). 17 pages and 38 figures
专题命中 感知 :self-driving(abstract);分类 cs.RO、cs.CV
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV
Comments intial version, more to come - soon
专题命中 感知 :occupancy(abstract);分类 cs.RO、cs.CV
Comments Presented at International Symposium On Attention in Cognitive Systems (ISACS) in Association with IROS, 2015
专题命中 感知 :LiDAR(abstract);分类 cs.RO、cs.CV
Comments Accepted for Robotics: Science and Systems (RSS) 2018. Source code now available at https://github.com/oravus/lostX
专题命中 感知 :LiDAR(abstract);分类 cs.RO、cs.CV
Comments presenting at 21st International Conference on Information Fusion, 2018
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV
Comments Submitted to IROS 2018
专题命中 感知 :self-driving(abstract);分类 cs.RO、cs.CV
Comments Accepted to ICRA 2018
专题命中 感知 :autonomous driving(abstract);分类 cs.CV、eess.IV
Comments 11 pages, 8 figures, 1 table. Submitted to "IEEE Transactions on Intelligent Vehicles" (under review)