yuxin0816's Stars
appliedAI-Initiative/orb_slam_2_ros
A ROS implementation of ORB_SLAM2
qixuxiang/orb-slam2_with_semantic_label
orb-slam2 with semantic label
virgolinosoares/Crowd-SLAM
Real-time Visual SLAM for Monocular, Stereo and RGB-D Cameras in Crowded Environments
SlamMate/CDS-SLAM-Semantic-mapping-in-dynamic-environment
This project is the result of my undergraduate dissertation. The localization in dynamic environment is to deploy TensorRT optimized YOLOX in the front end of ORB-SLAM3 for object detection, and then eliminate all points belonging to the human bounding box. At the same time, the semantic information is sent to the mapping module to dye the 3D point cloud. The disadvantage of this project is that in the localization module, only the points belonging to people are processed, because people are dynamic most of the time. In the mapping module, we did not segment semantic objects accurately, resulting in wrong coloring of point clouds of other objects.
wuhuikai/FastFCN
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.
youngyangyang04/leetcode-master
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
chenxi116/DeepLabv3.pytorch
PyTorch implementation of DeepLabv3
electech6/ORB_SLAM2_detailed_comments
Detailed comments for ORB-SLAM2 with trouble-shooting, key formula derivation, and diagrammatic drawing
jiexiong2016/GCNv2_SLAM
Real-time SLAM system with deep features
YiChenCityU/Recent_SLAM_Research
Track Advancement of SLAM 跟踪SLAM前沿动态【2021 version】業務調整,暫停更新
floatlazer/semantic_slam
Real time semantic slam in ROS with a hand held RGB-D camera
ethz-asl/mav_active_3d_planning
Modular framework for online informative path planning.
BTREE-C802/line_detector
line segment detector(lsd) & edge drawing line detector(edl) & hough line detector(standard &.probabilistic) for detection
BTREE-C802/3DLine-SLAM
3DLines-SLAM: A Monocular Vision Semi-Dense 3D Reconstruction Based on ORB-SLAM Abstract-Producing high-quality 3D maps and calculating more accurate camera pose has always been the goal of SLAM technology. The requirements of SLAM technology such as real-time, low computational cost, and low hardware cost are contradictory to the above objectives. For the issues listed above, we propose a novel semi-dense reconstruction algorithm based on the monocular ORB-SLAM system by matching the line segment features extracted from keyframes. Specifically, we build upon ORB-SLAM, the system first provides a set of keyframes and their corresponding camera poses and a series of map points in real-time. Then we use our developed a keyframe re-culling algorithm to culling redundant keyframes. Then an improved line segment extraction method is used to extract line segments in each keyframe. Finally, we use purely geometric constraints to generates accurate 3D scene model by matching 2D line segments from different keyframes. We thoroughly evaluate and in-depth analysis of our approach, the results show our system runs steadily and reliably. Not only the whole system has strong robustness, but also it can quickly generate an accurate 3d model online with low computational costs.
Ewenwan/ORB_SLAM2_SSD_Semantic
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
kunalchelani/Line2Point
DroidAITech/ROS-Academy-for-Beginners
**大学MOOC《机器人操作系统入门》课程代码示例
ros-planning/navigation
ROS Navigation stack. Code for finding where the robot is and how it can get somewhere else.
raulmur/ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
BertaBescos/DynaSLAM
DynaSLAM is a SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups
wuxiaolang/Visual_SLAM_Related_Research
视觉(语义) SLAM 相关研究跟踪
UZ-SLAMLab/ORB_SLAM3
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
wanghuayou1028/ICRA2021-SLAM-paper-list
matterport/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow