Mining Personalized Climate Preferences for Assistant Driving
专题命中 感知 :self-driving(abstract)
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)
专题命中 感知 :self-driving(abstract)
专题命中 感知 :autonomous driving(abstract)
Journal ref 2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design (IOLTS), Rhodes, Greece, 2019, pp. 188-193
专题命中 感知 :autonomous driving(abstract)
专题命中 感知 :self-driving(abstract)
Comments Keywords: memristor, neuromorphic, AI, deep learning, spiking neural networks, in-memory computing
专题命中 感知 :self-driving(abstract)
Comments Technical Report
专题命中 感知 :LiDAR(abstract)
Comments 8 pages, 6 figures
专题命中 感知 :LiDAR(abstract)
Comments 22 pages, 2 figures, submitted for publication
专题命中 感知 :autonomous driving(abstract)
Journal ref 3rd ACM CoNEXT Workshop on Big DAta, Machine Learning and Artificial Intelligence for Data Communication Networks (Big-DAMA '19), December 9, 2019, Orlando, FL, USA
专题命中 感知 :autonomous driving(abstract)
Comments 12 page, 17 figures
专题命中 感知 :autonomous driving(abstract)
Comments 14 pages, 14 figures
专题命中 感知 :occupancy(abstract)
Comments 5 pages, 7 figures
专题命中 感知 :self-driving(abstract)
Comments Copyright 2019 IEEE. Paper submitted and accepted at the 45th Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2019)
专题命中 感知 :LiDAR(abstract)
Comments 12 pages, 5 figures
专题命中 感知 :occupancy(abstract)
Comments Under Review in ASCE Journal of Engineering Mechanics. arXiv admin note: text overlap with arXiv:2002.11702
专题命中 感知 :self-driving(abstract)
专题命中 感知 :occupancy(abstract)
Comments Letter of Intent
专题命中 感知 :autonomous driving(abstract)
专题命中 感知 :LiDAR(abstract)
Comments In Proceedings of IEEE Intelligent Transportation Systems Conference (ITSC), 2019
专题命中 感知 :self-driving(abstract)
Comments Accepted by 11th International Conference on Cyber-Physical Systems (ICCPS2020)
专题命中 感知 :LiDAR(abstract)
Journal ref OSA Continuum, Vol. 3, No. 2 2020 186
专题命中 感知 :LiDAR(abstract)
专题命中 感知 :LiDAR(abstract)
Comments 15 pages, 6 figures
专题命中 感知 :LiDAR(abstract)
专题命中 感知 :self-driving(abstract)
Comments This revision includes reframing the local generalization problem, with relaxed the assumptions so that the robust problem depends on a local slope bound rather than a Lipschitz constant, and provide a method for learning the slope bound from data. We also include additional experiments with a CNN perception module
专题命中 感知 :self-driving(abstract)
专题命中 感知 :LiDAR(abstract)
专题命中 感知 :autonomous driving(abstract)
专题命中 感知 :autonomous driving(abstract)
专题命中 感知 :occupancy(abstract)
Journal ref Phys. Rev. A 100, 043821 (2019)