动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库 object-detectionoctomapsemantic-slamdynamic-slam UpdatedAug 14, 2020 C++ PRBonn/LiDAR-MOS Star588 Code Issues Pull requests (LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequent...
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代码已开源:GitHub - yubaoliu/RDS-SLAM: DS-SLAM: Real-Time Dynamic SLAM Using Semantic Segmentation Methods Motivation: 场景刚度是vSLAM 的一个强假设,限制了大多数vSLAM在动态现实世界环境中的使用。现有的许多解决方案,使用不同类型的语义分割方法(例如,Mask R-CNN,SegNet)来检测动态对象并删除异常值。
personal page:https://neal0529.github.ioThis is a presentation video about our work at 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024):BE-SLAM: BEV-Enhanced Dynami, 视频播放量 7、弹幕量 0、点赞数 2、投硬币枚数 2、收
主要就是2019年末在公司的时候,做一个教育平台的无人驾驶小车项目的时候 从头开始部署autoware发现,建图中会有我们来来回回走动的 点云,当时其实就想了一种和 ndt slam 直接结合的方式去除,不过比较稚嫩+工程的想法所以后续也没有什么总结,隐约记得:最后还是 人手动去除的障碍物 毕竟也就三幅图 😃...
Jun Zhang et al. “VDO-SLAM: A Visual Dynamic Object-aware SLAM System” arXiv: Robotics (2020): n. pag. 源代码:https://github.com/halajun/VDO_SLAM 作者介绍:https://halajun.github.io 摘要 VDO-SLAM是一个鲁棒性高的目标感知动态SLAM系统,它利用语义信息来估计场景中刚性对象的运动,而不需要...
项目主页:GitHub - Yaepiii/TRLO TRLO: An Efficient LiDAR Odometry with 3D Dynamic Object Tracking and Removal 摘要:同步状态估计和绘图是在动态城市环境中工作的移动机器人的一项基本能力。大多数现有 SLAM 解决方案严重依赖于静态假设。然而,由于移动车辆和行人的存在,这一假设并不总是成立,导致定位精度下降和...
EM-Fusion: Dynamic Object-Level SLAM With Probabilistic Data Association Michael Strecke and Jo¨rg Stu¨ckler Embodied Vision Group, Max Planck Institute for Intelligent Systems {michael.strecke,joerg.stueckler}@tue.mpg.de Abstract The majority of approaches fo...
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