SwordSS's Stars
Vincentqyw/Recent-Stars-2025
🔥SLAM, VIsual localization, keypoint detection, Image matching, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code
faaxm/exmpl-cmake-grpc
Example cmake project for grpc / protobuf
ChenJiahao031008/Autodrive_Toolchain
A Simple Autodrive System Tool Chain, 一个简易的自动驾驶系统工具链
thomasfermi/Algorithms-for-Automated-Driving
Each chapter of this (mini-)book guides you in programming one important software component for automated driving.
calibtoolkit/calibration_kit
rst-tu-dortmund/costmap_prohibition_layer
ROS-Package that implements a costmap layer to add prohibited areas to the costmap-2D by a user configuration.
CherryXuan/Pointer-meter-identification-and-reading
基于opencv的指针式仪表的识别与读数
zhangxiann/PyTorch_Practice
这是我学习 PyTorch 的笔记对应的代码,点击查看 PyTorch 笔记在线电子书
MegviiRobot/CamOdomCalibraTool
The tool to calibrate extrinsic param between camera and wheel
slightech/MYNT-EYE-ROS-Wrapper
ROS wrapper for the MYNT EYE SDK
slightech/MYNT-EYE-S-SDK
MYNT EYE S SDK (MYNT® EYE Standard Camera)
uzh-rpg/rpg_trajectory_evaluation
Toolbox for quantitative trajectory evaluation of VO/VIO
Ewenwan/Active-ORB-SLAM2
ORB SLAM2 + 拓扑地图 路径规划导航
jbhuang0604/awesome-computer-vision
A curated list of awesome computer vision resources
tusen-ai/simpledet
A Simple and Versatile Framework for Object Detection and Instance Recognition
kuankuan-yue/VINS-FUSION-leanrning
VINS-FUSION中文注释版.目前网络上对于VINS-mono的代码已经有很多讲解和注释了,但是对于VINS-FUSION(以下简称VF)的注释还是很少的,刚好本人最近也正在学习VIO的相关知识,所以对VF按照程序执行顺序进行了十分详细的注释,同时为了和大家进行交流学习,所以把相关注释代码进行开源。因水平有限,错误肯定不少,还请各位大佬们指正。
m4nh/pix2pix
Image-to-image translation with conditional adversarial nets
m4nh/skimap_ros
Ros implementation of Skimap
abhineet123/Deep-Learning-for-Tracking-and-Detection
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
abhineet123/ORB_SLAM2
Modified version of ORB SLAM for an autonomous navigation project
ruoxianglee/ORB_SLAM2_Rviz
ORB_SLAM2系统Rviz可视化方案(实现详细介绍见 励志献身SLAM 的 阿翔 博客:http://ttshun.com/2018/10/14/ORB-SLAM2%E7%B3%BB%E7%BB%9FRviz%E5%8F%AF%E8%A7%86%E5%8C%96%E6%96%B9%E6%A1%88/)
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
BertaBescos/DynaSLAM
DynaSLAM is a SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups
Horacehxw/Dynamic_ORB_SLAM2
Visual SLAM system that can identify and exclude dynamic objects.
MichaelBeechan/VO-SLAM-Review
SLAM is mainly divided into two parts: the front end and the back end. The front end is the visual odometer (VO), which roughly estimates the motion of the camera based on the information of adjacent images and provides a good initial value for the back end.The implementation methods of VO can be divided into two categories according to whether features are extracted or not: feature point-based methods, and direct methods without feature points. VO based on feature points is stable and insensitive to illumination and dynamic objects
dongdingcheng/DynaSLAM
基于ORB-SLAM2修改 动态环境建模 dynamic environments for monocular, stereo and RGB-D setups