LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
- lidar-odometry
- lidar-slam
- loam-velodyne
- lidar-inertial
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LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
Universal grid map library for mobile robotic mapping
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
LSD-SLAM
Slam Toolbox for lifelong mapping and localization in potentially massive maps with ROS
YOLO ROS: Real-Time Object Detection for ROS
web-based visualization libraries
3D LIDAR-based Graph SLAM
MIT Cheetah I Implementation
:robot: The MoveIt motion planning framework
robot_localization is a package of nonlinear state estimation nodes. The package was developed by Charles River Analytics, Inc. Please ask questions on answers.ros.org.
Hybrid A* Path Planner for the KTH Research Concept Vehicle
Robot-centric elevation mapping for rough terrain navigation
Provides ROS integration for Cartographer.
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
A ROS package tool to analyze the IMU performance.
An optimal trajectory planner considering distinctive topologies for mobile robots based on Timed-Elastic-Bands (ROS Package)
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
MAVLink to ROS gateway with proxy for Ground Control Station
Toolbox for quantitative trajectory evaluation of VO/VIO
Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)
Automated, hardware-independent Hand-Eye Calibration
Visualize ROS topics inside a terminal with Unicode/ASCII art