lei-leiwang

lei-leiwang's Stars

• AtsushiSakai/PythonRobotics

  Python sample codes for robotics algorithms.

  Language:Python23.2k5113546.5k

• IntelRealSense/librealsense

  Intel® RealSense™ SDK

  Language:C++7.6k2919.5k4.8k

• wuxiaolang/Visual_SLAM_Related_Research

  视觉(语义) SLAM 相关研究跟踪

  1.8k963407

• introlab/rtabmap_ros

  RTAB-Map's ROS package.

  Language:C++990341.1k555

• RLAgent/gated-path-planning-networks

  Gated Path Planning Networks (ICML 2018)

  Language:Python17915236

• 18alantom/CoveragePathPlanning

  Code pertaining to coverage path planning and area division.

  Language:Jupyter Notebook1077027

• MRwangmaomao/VSLAM

  Vision SLAM study and research

  Language:HTML391017

• srnand/Mobile-Robots-Autonomous-Navigation

  Implemented Dubin's Curves and Rapidly Exploring Random Trees and RRT Star with branches as Dubin's Curves for path planning in Python and also simulated in Gazebo using ROS.

  Language:Python35217

• MrLeedom/Reinforcement_Learning

  强化学习相关知识的学习，Ｑ学习和SARSA以及后面的DQN，有用到路径规划方面的，也有实际小迷宫的案例

  Language:Python29125

• luhan2016/PathPlanning

  Path planning graduate project in Halmstad University (dynamic environment)

  Language:Matlab20208

• 0zgur0/Lane_Tracking_using_Particle_Filters

  Particle filter-based lane tracking Matlab code

  Language:MATLAB15305

• anikethramesh/GreyWolfOptimiser_CoveragePathPlanning

  The Grey Wolf Optimiser Algorithm adapted for coverage path planning

  Language:Python12302

• hrishikeshtawade04/RRT-X

  Dynamic obstacle Avoidance Algorithm

  Language:MATLAB12320

• Ashwin-Vinoo/Dynamic-Path-Planner-Using-Probabilistic-Roadmaps

  Changes may occur in static maps due to introduction of obstacles, other agents or some other changes in the environment that render the path unusable. As there is a need to address efficient re-planning in dynamic scenarios, in this paper, we investigate an algorithm that can store a road-map of the environment and use it to efficiently recompute a path to the destination in the advent of such environmental changes. Finally, we compare this algorithm with other standard path planning algorithms like A* and RRT, to study the performance increase in computation time and path length obtained by leveraging the same.

  Language:Python11113

• Anand-Patel-95/Self-Driving-Car-RRT-path-planning

  Rapidly-exploring random tree algorithm for path planning an autonomous car, with vehicle dynamics, around static obstacles.

  Language:MATLAB1020

• fanzhangg/uav-path-coverage

  path coverage algorithm for drones using reinforcement learning

  Language:Python10100

• sahilkap07/Optimal-Aerial-Coverage-for-Tree-Survey

  Path planning in an unknown environment for maximum aerial coverage in minimum number of trips. TSP model is used to minimize path lengths between different map points.

  Language:MATLAB9202

• ssteveminq/py_coverage

  coverage_path_planning (reference: https://github.com/RuslanAgishev/motion_planning )

  Language:Python91

• mbshbn/Lane-Line-Detection-using-color-transform-and-gradient

  Software pipeline to identify lane boundaries from a video streaming from a front-facing camera on a car using color transform and gradient

  Language:Python7100

• Nagarakshith1/Modified-RRT-star-for-dynamic-path-planning

  Language:Python7

• ouyiyun/SRRT

  基于贝塞尔曲线的RRT算法，满足非完整性机器人的曲率约束

  Language:MATLAB7104

• Lewis-Lu/RRTSimulation

  [B.Eng. Thesis] Simulating rrt and its variant / artificial potential method

  Language:MATLAB4100

• LihaoWang1991/improved-RRT-algorithm

  Language:Matlab40

• aidude/CS591_Project

  The Final Project in CS 591. Path Planning for Swarms in Dynamic Environments

  Language:Python3000

• Brittjeka/Optimal-RRT-with-dubins-path

  Implementation of a RRT* algorithm for a car

  Language:MATLAB3100

• ErinZhang123/lane-roadedge-detection-and-3D-reconstruction

  Achieved real-time road edge and lane detection and 3D reconstruction from 10fps camera data and 2cm range resolution laser radar data on unmanned sweepers.

  Language:PureBasic2

• RealA10N/car-pathfinding-problem

  פרויקט חמש יחידות הבגרות שלי במדעי המחשב, כחלק מתוכנית אלפא בטכניון

  Language:MATLAB2150

• GabeHart17/srip_cs_2020

  research into RRT* based algorithms for path planning in dynamic environments

  Language:C++1

• K13R08M93/Autonomous-vehicle---project

  Path planning with rapidly exploring random tree for the autonomous race car.

  Language:MATLAB1102

• rvnandwani/ENPM661-P5_Easy-Shopper-i.e.-Path-Planning-for-Shopping-Robot

  This project represents a novel method to calculate the path. It is a combination of A* and dynamic A* which is implemented on the common task of the shopping cart. Please review the PDF for more info.

  Language:Python1100