pjs9115916's repositories
AVP-SLAM-PLUS
An implementation of AVP-SLAM and some new contributions
AgriBot-Local-Planner
ROS Local Planner - using DWA & PID control ideas to work with move_based and navigation packages to navigate the robot through way-points to get it to its destination.
Apollo-ls
New vehicle driver
bluespace_ai_xsens_ros_mti_driver
xsens ros2 driver
direct_lidar_odometry
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
dynamic_robot_localization
Point cloud registration pipeline for robot localization and 3D perception
FAST_LIO_LC
The tight integration of FAST-LIO with Radius-Search-based loop closure module.
FAST_LIO_SLAM
LiDAR SLAM = FAST-LIO + Scan Context
faster-lio
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
faster_lio_sam
FASTER-LIO-SAM: A SLAM system based on iVox and GTSAM.
gnss-sdr
GNSS-SDR, an open-source software-defined GNSS receiver
grid_map
Universal grid map library for mobile robotic mapping
HAStar_ParkingPlanner
Path Planning Based On Hybrid A Star
install
一键安装程序，欢迎大家提交代码和小鱼一起一键安装停止浪费生命
ipa_coverage_planning
Algorithms for floor plan segmentation and systematic coverage driving patterns
li_slam_ros2
ROS2 package of tightly-coupled lidar inertial ndt/gicp slam
mesh_navigation
Mesh Navigation Stack
mobile-aloha
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
move_base_flex
Move Base Flex: a backwards-compatible replacement for move_base
Multi-floor-navigation-with-ROS2
Multi-floor navigation using ROS2
navigation2
ROS2 Navigation Framework and System
open_vins
An open source platform for visual-inertial navigation research.
optas_ros
ROS interface for OpTaS.
polygon_coverage_planning
Coverage planning in general polygons with holes.
PythonRobotics
Python sample codes for robotics algorithms.
scout_ros2
ROS2 Support Package for Scout Robot
ublox
A driver for ublox gps
vtr3
VT&R3 is a C++ implementation of the Teach and Repeat navigation framework. It enables a robot to be taught a network of traversable paths and then accurately repeat any network portion.