Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic
专题命中 仿真评测 :autonomous driving(abstract);分类 cs.RO、cs.AI
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 仿真评测 :autonomous driving(abstract);分类 cs.RO、cs.AI
专题命中 仿真评测 :autonomous driving(abstract);分类 cs.RO、cs.AI
Comments IEEE Robotics and Automation Letters (RA-L)
专题命中 仿真评测 :autonomous driving(abstract);分类 cs.RO、cs.CV
专题命中 仿真评测 :LiDAR(abstract);分类 cs.RO、cs.CV
Comments First two authors contributed equally. Code and project website is available here: https://vista.csail.mit.edu
专题命中 仿真评测 :autonomous driving(abstract);分类 cs.CV、cs.AI
Comments To Appear in NDSS 2022
专题命中 仿真评测 :autonomous driving(abstract);分类 cs.CV、cs.AI
Comments Accepted by IEEE International Conference on Computer Vision (ICCV) 2021
专题命中 仿真评测 :LiDAR(abstract);分类 cs.RO、cs.CV
专题命中 仿真评测 :autonomous driving(abstract);分类 cs.RO、cs.AI
Comments Intelligent Vehicle Symposium 2020 (IV2020)
Journal ref 2020 IEEE Intelligent Vehicles Symposium (IV)
专题命中 仿真评测 :autonomous driving(abstract);分类 cs.RO、cs.CV
Comments 7 pages, 5 figures, submitted to IROS 2021
专题命中 仿真评测 :autonomous driving(abstract);分类 cs.CV、cs.AI
专题命中 仿真评测 :LiDAR(abstract);分类 cs.CV、cs.AI
Comments submitted to IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)
专题命中 仿真评测 :autonomous driving(abstract);分类 cs.RO、cs.AI
专题命中 仿真评测 :LiDAR(abstract);分类 cs.RO、cs.CV
Comments accepted to WACV 2021, acknowledgment added
专题命中 仿真评测 :autonomous driving(abstract);分类 cs.CV、cs.AI
Comments Presented in MLBench: Workshop on Benchmarking Machine Learning Workloads (https://sites.google.com/g.harvard.edu/mlbench/home)
专题命中 仿真评测 :self-driving(abstract);分类 cs.CV、cs.AI
Comments 24 pages, 20 figures, survey paper, submitting to IEEE
专题命中 仿真评测 :trajectory planning(abstract);分类 cs.RO、cs.CV
Comments To be presented at the 7th IEEE International Workshop on Metrology for Aerospace (MetroAerospace)
专题命中 仿真评测 :autonomous driving(abstract);分类 cs.RO、cs.CV
Comments Accepted for DSN 2020
Journal ref 2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks
专题命中 仿真评测 :autonomous driving(abstract);分类 cs.RO、cs.AI
专题命中 仿真评测 :self-driving(abstract);分类 cs.CV、eess.IV
Comments Accepted to ITSC 2020
专题命中 仿真评测 :LiDAR(abstract);分类 cs.CV、cs.AI
Comments CVPR 2020
专题命中 仿真评测 :self-driving(abstract);分类 cs.CV、eess.IV
专题命中 仿真评测 :self-driving(abstract);分类 cs.RO、cs.CV
Comments 9 Pages, 7 Figures
专题命中 仿真评测 :autonomous driving(abstract);分类 cs.RO、cs.CV
Comments Accepted at RSS'19. First two authors contributed equally
专题命中 仿真评测 :self-driving(abstract);分类 cs.RO、cs.CV
Comments CVPR 2019. Rank 1st on KITTI scene flow benchmark. 800 times faster than prior art
专题命中 仿真评测 :autonomous driving(abstract);分类 cs.RO、cs.CV
Comments Video results: https://sites.google.com/view/waymo-learn-to-drive
专题命中 仿真评测 :LiDAR(abstract);分类 cs.RO、cs.CV
专题命中 仿真评测 :autonomous driving(abstract);分类 cs.RO、cs.CV
专题命中 仿真评测 :occupancy(abstract);分类 cs.RO、cs.AI
视觉-语言模型的终身学习:增强的EWC与跨模态知识保留
机构 * Sejong University, Computer Science Engineering(世宗大学,计算机科学工程) ; Technische Universität Ilmenau, Computer Engineering(伊门瑙技术大学,计算机工程)
专题命中 仿真评测 :autonomous driving(abstract,comments);分类 cs.RO
AI总结 本文提出一种结合增强EWC与参数高效微调的框架,有效减少视觉-语言模型在连续学习中的遗忘,通过多模态Fisher信息矩阵计算和跨模态一致性保留,实现78%的遗忘率降低,并在动态环境中提升多模态AI系统的适应能力。
Comments 8 pages, 5 figures, 1 table. Applications in autonomous driving, intelligent robotic assistants, and adaptive robotics systems
在没有人类示范的情况下学习新城市的驾驶
机构 * WhiRL, University of Oxford(WhiRL,牛津大学) ; FLAIR, University of Oxford(FLAIR,牛津大学) ; Delft University of Technology(代尔夫特理工大学) ; NYU Tandon School of Engineering(纽约大学工程学院)
专题命中 仿真评测 :autonomous driving(abstract,comments);分类 cs.RO
AI总结 NOMAD通过自play多智能体强化学习,在无需人类示范的情况下,利用地图和元信息实现自动驾驶策略在不同城市间的适应与优化。
Comments Autonomous Driving, Reinforcement Learning, Self-play, Simulation, Transfer Learning, Data-efficient Adaptation. Project Page: https://nomaddrive.github.io/