Comprehensive Data Set for Automatic Single Camera Visual Speed Measurement
专题命中 激光雷达 :LiDAR(abstract);分类 cs.CV
Journal ref IEEE Transactions on Intelligent Transportation Systems 2018
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 激光雷达 :LiDAR(abstract);分类 cs.CV
Journal ref IEEE Transactions on Intelligent Transportation Systems 2018
专题命中 激光雷达 :LiDAR(abstract);分类 cs.RO
Comments 7 pages, 4 figures, 3 tables
专题命中 激光雷达 :self-driving(abstract);分类 cs.CV
专题命中 激光雷达 :autonomous driving(abstract);分类 cs.CV
Comments 6 pages
专题命中 激光雷达 :LiDAR(abstract);分类 cs.RO
Comments Published in SSRR 2018 Conference
Journal ref R. P. Saputra and P. Kormushev, "Casualty Detection from 3D Point Cloud Data for Autonomous Ground Mobile Rescue Robots," 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), Philadelphia, PA, 2018, pp. 1-7
专题命中 激光雷达 :LiDAR(abstract);分类 cs.RO
Comments 24 pages, 19 figures
专题命中 激光雷达 :LiDAR(abstract);分类 cs.CV
Comments CVPR 2018 (Oral)
Journal ref The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018
专题命中 激光雷达 :LiDAR(abstract);分类 cs.CV
专题命中 激光雷达 :LiDAR(abstract);分类 cs.CV
Comments 7 pages, 5 figures, 2 tables
专题命中 激光雷达 :LiDAR(abstract);分类 cs.CV
Comments 2 pages, 4 figures, submitted to ACCAS
专题命中 激光雷达 :LiDAR(abstract);分类 cs.RO
Comments In Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI'16), Baden-Baden, Germany, Sep. 19-21, 2016. Best Student Paper Award
专题命中 激光雷达 :LiDAR(abstract);分类 cs.CV
Comments ECCV 2018
专题命中 激光雷达 :LiDAR(abstract);分类 cs.RO
专题命中 激光雷达 :autonomous driving(abstract);分类 cs.RO
Comments 8 pages, accepted by the IEEE/ION PLANS 2018
专题命中 激光雷达 :LiDAR(abstract);分类 cs.RO
Comments Presented at IROS 2017 Workshop on Learning for Localization and Mapping
专题命中 激光雷达 :occupancy(abstract);分类 cs.CV
Comments Accepted to ICRA2018, 6 Pages
专题命中 激光雷达 :LiDAR(abstract);分类 cs.RO
专题命中 激光雷达 :LiDAR(abstract);分类 cs.CV
专题命中 激光雷达 :LiDAR(abstract);分类 cs.CV
Comments this article is a split of the previous one because the previous article covered two topics to lousily related
专题命中 激光雷达 :LiDAR(abstract);分类 cs.CV
Comments ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, A Para{î}tre
专题命中 激光雷达 :LiDAR(abstract);分类 cs.CV
Comments arXiv admin note: text overlap with arXiv:1701.00169
Journal ref Scientific Reports, 7(1), 6770 (2017)
专题命中 激光雷达 :LiDAR(abstract);分类 cs.CV
Comments 10 pages
专题命中 激光雷达 :LiDAR(abstract);分类 cs.CV
专题命中 激光雷达 :LiDAR(abstract);分类 cs.CV
Comments To be published in proceedings of 3DIMPVT 2012
Journal ref Proceedings of the 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission (3DIMPVT)
专题命中 激光雷达 :LiDAR(abstract);分类 cs.CV
专题命中 激光雷达 :LiDAR(abstract);分类 cs.RO
Comments ACM SIGSPATIAL'16, October 31-November 03, 2016, Burlingame, CA, USA
专题命中 激光雷达 :LiDAR(abstract);分类 cs.CV
Comments 10 pages. To be published in ITS World Congress 2015
专题命中 激光雷达 :LiDAR(abstract,journal_ref)
Comments 35 pages, 22 figures, (c) Cambridge University Press
Journal ref "Topological Codes", in "Quantum Error Correction", edited by Daniel A. Lidar and Todd A. Brun, Cambridge University Press, New York, 2013
专题命中 激光雷达 :LiDAR(abstract,comments)
Comments 11 pages, no figures, published in "Quantum Error Correction", ed. D. A. Lidar and T. A. Brun, Cambridge University Press (2013)(http://www.cambridge.org/us/academic/subjects/physics/quantum-physics-quantum-information-and-quantum-computation/quantum-error-correction)
基于多模Gaussian态的资源最优量子模参数估计
专题命中 激光雷达 :LiDAR(abstract)
AI总结 本文提出通过多模Gaussian态实现量子模参数估计的资源最优方案,统一了粒子数和模结构视角,推导了量子 Fisher 信息的紧上界并确定了最优Gaussian态。
Comments Comments are welcome!