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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。
soft slam(开源GitHub - Mayankm96/Stereo-Odometry-SOFT: MATLAB Implementation of Visual Odometry using SOFT algorithm)基于ORB-SLAM2的RGB-D模式引入语义光流方法进行动态特征检测,与SegNet紧密耦合,生成可靠基本矩阵的语义掩码。GitHub - tjau123/SLAM-with-DeepLabV3-: ORB-SLAM2融合deeplab语义分割建立语义地图,...
Simultaneous localization and mapping (SLAM) is a common method for addressing this problem. SLAM is considered as an important technique for intelligent robot self- localization, particularly in areas lacking global position information, such as tunnels and indoor scenes. The main problems associated ...
Evaluating our method on public datasets, we show that it can successfully solve challenging situations in dynamic environments which cause state-of-the-art baseline VSLAM algorithms to fail and that it maintains performance on static scenes. Code is available at github.com/mthz/slamantic.Matthias ...
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...
poses from real-time SLAM are dynamic and may be updated following events such as bundle adjustment and loop closure. This has been addressed in the RGB-D setting, by de-integrating past views and re-integrating them with updated poses, but it remains largely untreated in the RGB-only settin...
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