pangxiansen123's repositories
2D_Lidar_Slam
2D激光SLAM学习代码(深蓝激光slam大作业)
study_shenlan
the annotation of shenlan
agv_local_planner
A Novel Online Time-Optimal Kinodynamic Motion Planning for ROS local planner plugin Using NURBS
amcl_noted
amcl代码注释
amcl_pose_updater
This is modified version of amcl ros package. We added amcl pose updater that updates amcl_pose and the particle states when known-pose flag is detected.
arips_local_planner
ROS local planner navigation plugin using potential fields
automatic_parking
Automatic docking based on LiDAR and self-designed dock.
cartographer_detailed_comments_ws
cartographer work space with detailed comments
cmake-cookbook
CMake Cookbook recipes.
costmap_depth_camera
This is a costmap plugin for costmap_2d pkg. This plugin supports multiple depth cameras and run in real time.
Creating-2D-laser-slam-from-scratch
从零开始创建二维激光SLAM
DBSCAN
DBSCAN: faster evaluation using nanoflann's kdtree
fetch_open_auto_dock
An open-source version of the Fetch charge docking system.
laser-docking
Autonomous docking based on landmark detection using 2D laser scanner
Loop-Closure-Detection-with-DBoW2
Loop closure detection with DBoW2 using mez's monocular VO.
nanoflann
nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees
note_of_ubuntu
关于ubuntu的一些使用说明
Patch-NetVLAD
Code for the CVPR2021 paper "Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition"
path_planner
Hybrid A* Path Planner for the KTH Research Concept Vehicle
PathPlanning
Common used path planning algorithms with animations.
plan-paper
路径规划的相关论文
rf2o_laser_odometry
Estimation of 2D odometry based on planar laser scans. Useful for mobile robots with innacurate base odometry. For full description of the algorithm, please refer to: Planar Odometry from a Radial Laser Scanner. A Range Flow-based Approach. ICRA 2016 Available at: http://mapir.isa.uma.es/mapirwebsite/index.php/mapir-downloads/papers/217
space_filling_forest_star
Space-Filling Forest* for milti-goal path planning
tangent_planner
ROS base local planner plugin which uses the tangent bug algorithm
Travelling-Salesman-Problem-Solve-with-Genetic-Algorithm-with-ROS-ANd-c-LANGUAGE
In the traveling salesman problem, it aims to find the shortest route or the least costly tour that passes through each of the cities with known distances only once. Although it is easy to define the traveling salesman problem, it is very difficult to obtain the optimal solution and it is among the NP-difficult (Non polynomial-hard) problems in the literature. This makes it impossible, so different methods have been proposed that can solve the problem in a short time. One of these methods is genetic algorithms.
turtlebot3
ROS packages for Turtlebot3
Visual_Odometry-LoopDetection
visual odometry loop detection using DBoW2