$f$-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception
专题命中 感知 :self-driving(abstract);分类 cs.RO、cs.CV
Comments For more details about $f$-Cal, visit https://f-cal.github.io
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
Comments For more details about $f$-Cal, visit https://f-cal.github.io
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV
Comments 6 pages, 4 figures, paper accepted at Intelligent Transportation Systems Conference (ITSC) 2021
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV
Comments Accepted by IEEE Sensors Journal. arXiv admin note: text overlap with arXiv:2003.01360
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV
Comments 12 pages, 12 figures, accepted by IEEE Transactions on Intelligent Transportation Systems
专题命中 感知 :autonomous driving(abstract);分类 cs.CV、eess.IV
Comments Accepted to IEEE Transactions on Intelligent Transportation Systems (T-ITS). Code available at https://github.com/vita-epfl/detection-attributes-fields
专题命中 感知 :BEV(abstract);分类 cs.CV、cs.AI
Comments ICCV-2021 Av-Vision Workshop
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV
Comments Accepted by the 2021 International Conference on Robotics and Automation (ICRA2021)
专题命中 感知 :LiDAR(abstract);分类 cs.RO、cs.CV
Comments To present in ICCV 2021 (ERCVAD Workshop)
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV
Comments 8 pages, 10 figures, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021. (Accept)
专题命中 感知 :autonomous driving(abstract);分类 cs.CV、cs.AI
Comments 12 pages, 7 figures. The final publication is available at Springer via https://doi.org/10.1007/978-3-030-79150-6_21
Journal ref In: Maglogiannis I., Macintyre J., Iliadis L. (eds) Artificial Intelligence Applications and Innovations. AIAI 2021. IFIP Advances in Information and Communication Technology, vol 627. Springer, Cham
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV
Comments 28 pages, 7 figures, to be submitted to Elsevier Pattern Recognition
专题命中 感知 :autonomous driving(abstract);分类 cs.CV、cs.AI
Comments An extension of our MICCAI paper
专题命中 感知 :self-driving(abstract);分类 cs.CV、cs.AI
Comments Presented on the HiPEAC 2021 workshop (cogarch 2021)
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.CV
专题命中 感知 :self-driving(abstract);分类 cs.RO、cs.CV
Comments IEEE Robotics and Automation Letters (RA-L)
专题命中 感知 :autonomous driving(abstract);分类 cs.CV、cs.AI
Comments Accepted by the ICML 2021 workshop on "A Blessing in Disguise: The Prospects and Perils of Adversarial Machine Learning"
专题命中 感知 :self-driving(abstract);分类 cs.CV、eess.IV
Comments 8 pages, 2 tables
专题命中 感知 :LiDAR(abstract);分类 cs.RO、cs.CV
Comments 2021 IEEE International Conference on Robotics and Automation (ICRA)
专题命中 感知 :self-driving(abstract);分类 cs.CV、eess.IV
专题命中 感知 :self-driving(abstract);分类 cs.CV、cs.AI
Journal ref 2021
专题命中 感知 :autonomous driving(abstract);分类 cs.CV、eess.IV
Journal ref in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 68, no. 2, pp. 704-714, Feb. 2021
专题命中 感知 :LiDAR(abstract);分类 cs.RO、cs.CV
Comments To be published at ICRA 2021. Source code available at https://github.com/aleksandrkim61/EagerMOT
专题命中 感知 :autonomous driving(abstract);分类 eess.IV、cs.AI
Comments 6 body pages
专题命中 感知 :self-driving(abstract);分类 cs.RO、cs.CV
Comments 11 pages, 12 figures and 5 tables. This paper is accepted by IEEE T-Cyber
专题命中 感知 :autonomous driving(abstract);分类 cs.CV、cs.AI
Comments 12 pages, 10 figures, 5 tables
专题命中 感知 :autonomous driving(abstract);分类 cs.RO、cs.AI
Comments 8 pages, 5 figures
专题命中 感知 :LiDAR(abstract);分类 cs.RO、cs.CV
Comments Accepted for IEEE International Conference on Robotics and Automation, 2021
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 This is a 6-pages short version of our ongoing work. It is accepted by the non-archival ICLR workshop on Security and Safety in Machine Learning Systems, 2021. The first two authors contributed equally to this work