Real-Time Hybrid Mapping of Populated Indoor Scenes using a Low-Cost Monocular UAV
专题命中 BEV与占用 :LiDAR(abstract);分类 cs.RO、cs.CV
Comments Submitted to IROS 2022
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 BEV与占用 :LiDAR(abstract);分类 cs.RO、cs.CV
Comments Submitted to IROS 2022
专题命中 BEV与占用 :BEV(abstract);分类 cs.RO、cs.CV
Comments 17 pages, 13 figures, Accepted for publication in the IEEE Robotics and Automation Letters (RA-L)
Journal ref IEEE Robotics and Automation Letters, Volume 7, Issue 2, April 2022, pp. 1968-1975
专题命中 BEV与占用 :occupancy(abstract);分类 cs.RO、cs.CV
专题命中 BEV与占用 :autonomous driving(abstract);分类 cs.RO、cs.CV
Comments ICCV 2021
专题命中 BEV与占用 :LiDAR(abstract);分类 cs.RO、cs.CV
Comments Accepted at 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)
专题命中 BEV与占用 :BEV(abstract);分类 cs.RO、cs.AI
专题命中 BEV与占用 :occupancy(abstract);分类 cs.RO、cs.CV
Comments ICCV 2021. Website: https://yilundu.github.io/nerflow/
专题命中 BEV与占用 :autonomous driving(abstract);分类 cs.CV、eess.IV
专题命中 BEV与占用 :autonomous driving(abstract);分类 cs.RO、cs.CV
Comments IROS 2021
专题命中 BEV与占用 :LiDAR(abstract);分类 cs.RO、cs.CV
专题命中 BEV与占用 :occupancy(abstract);分类 cs.RO、cs.AI
Comments This is a preprint. Published in American journal of Engineering Research (AJER) Available at http://www.ajer.org/papers/Vol-9-issue-9/J09096371.pdf
Journal ref American Journal of Engineering Research (AJER), vol. 9(9), 2020, pp. 63-71
专题命中 BEV与占用 :autonomous driving(abstract);分类 cs.RO、cs.CV
专题命中 BEV与占用 :occupancy(abstract);分类 cs.RO、cs.CV
Journal ref International Conference on 3D Vision (2020), 801-810
专题命中 BEV与占用 :autonomous driving(abstract);分类 cs.RO、cs.CV
Comments Accepted for publication in IEEE Robotics and Automation Letters (RA-L). Code is available at : \url{https://github.com/ov2slam/ov2slam}
Journal ref IEEE Robotics and Automation Letters, IEEE 2021
专题命中 BEV与占用 :autonomous driving(abstract);分类 cs.RO、cs.CV
Comments accepted by IROS 2020
专题命中 BEV与占用 :occupancy(abstract);分类 cs.RO、cs.CV
Comments CoRL 2020
专题命中 BEV与占用 :occupancy(abstract);分类 cs.RO、cs.CV
Comments To be presented at WACV 2020 Video: https://www.youtube.com/watch?v=HcroGyo6yRQ Project page: https://hbutsuak95.github.io/monolayout
专题命中 BEV与占用 :autonomous driving(abstract);分类 cs.RO、cs.CV
Comments arXiv admin note: substantial text overlap with arXiv:1804.09557
专题命中 BEV与占用 :occupancy(abstract);分类 cs.RO、cs.CV
专题命中 BEV与占用 :self-driving(abstract);分类 cs.CV、eess.IV
Comments Published in: IEEE Intelligent Vehicles (IV), 2019
专题命中 BEV与占用 :autonomous driving(abstract);分类 cs.RO、eess.IV
Comments in Proceedings of IEEE FCCM 2019
专题命中 BEV与占用 :occupancy(abstract);分类 cs.RO、cs.CV
Comments 8 pages, 6 figures, accepted in IROS 2018
专题命中 BEV与占用 :occupancy(abstract);分类 cs.RO、cs.AI
Comments 5 pages, 4 figures; to be published in MLPC 2018
专题命中 BEV与占用 :occupancy(abstract);分类 cs.RO、cs.CV
Comments Accepted by International Conference on Robotics and Automation (ICRA) 2017. This is the submitted version. The final published version may be slightly different
专题命中 BEV与占用 :occupancy(abstract);分类 cs.RO、cs.AI
Journal ref Journal Of Artificial Intelligence Research, Volume 11, pages 391-427, 1999
FOF-X:从单张图像实现实时详细人体重建
机构 * College of Intelligence and Computing, Tianjin University(智能与计算学院,天津大学) ; Department of Automation, Tsinghua University(自动化系,清华大学) ; School of Computer Science and Informatics, Cardiff University(计算机科学与信息学院,卡迪夫大学) ; School of Electrical and Information Engineering, Tianjin University(电气与信息工程学院,天津大学)
专题命中 BEV与占用 :occupancy(abstract,comments);分类 cs.CV
AI总结 FOF-X通过傅里叶占用场实现从单张图像的实时详细人体重建,提升重建质量和鲁棒性。
Comments Extended journal version of our previous conference paper: FOF: Learning Fourier Occupancy Field for Monocular Real-time Human Reconstruction (arXiv:2206.02194)
受攻击下的效用:智能体记忆投毒及内容筛选与来源排序的局限性
专题命中 BEV与占用 :occupancy(abstract);分类 cs.AI
AI总结 该研究针对智能体记忆投毒问题,测试了内容筛选和来源排序的防御效果,发现仅内容筛选无法抵御投毒,来源加权检索也存在局限,主张采用有限占用约束并发布了相关资源。
EmotionDialogCN:面向普通话情感对话的自发多模态数据集
专题命中 BEV与占用 :occupancy(abstract);分类 cs.CV
AI总结 该研究推出EmotionDialogCN数据集,其规模大、情感分布贴合真实情况,采用新型采集框架减少设备干扰,可支撑多模态情感相关研究。
SPVC:面向跨数据集驾驶场景渲染的结构化全景视频修复
机构 * Institute for AI Industry Research (AIR), Tsinghua University(清华大学人工智能产业研究院) ; Zhejiang University(浙江大学) ; University of Wisconsin–Madison(威斯康星大学麦迪逊分校) ; Great Wall Motor Company Limited(长城汽车股份有限公司) ; Shanghai Jiao Tong University(上海交通大学) ; The Hong Kong University of Science and Technology(香港科技大学)
专题命中 BEV与占用 :autonomous driving(abstract);分类 cs.CV
AI总结 本文提出SPVC框架,通过结构化、全景、视频及跨数据集修复原则,训练两阶段可控视频扩散模型,解决驾驶场景渲染的伪影问题,实现跨数据集的高效修复。
Comments Project page: https://li00147.github.io/SPVC-Project-Page/
PrintAnything:学习用于3D打印G-code生成的中间表示
机构 * IPAI, Seoul National University(首尔大学 IPAI) ; Seoul National University(首尔大学) ; Soongsil University(崇实大学) ; Kairoba Inc.(Kairoba公司)
专题命中 BEV与占用 :occupancy(abstract);分类 cs.CV
AI总结 PrintAnything框架无需网格重建,通过切片式点投影策略和G-plan图,直接从点云生成可执行3D打印G-code,实现无网格的实用3D打印流程。
Comments European Conference on Computer Vision (ECCV) 2026