Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
- sensor-fusion
- slam
- mapping
- icra2019
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Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
DroneBridge is a system based on the WifiBroadcast approach. A bidirectional digital radio link between two endpoints is established using standard WiFi hardware and a custom protocol. DroneBridge is optimized for use in UAV applications and is a complete system. It is intended be a real alternative to other similar systems, such as DJI Lightbridge or OcuSync.
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
Robust and efficient coverage paths for autonomous agricultural vehicles. A modular and extensible Coverage Path Planning library
X Inertial-aided Visual Odometry
The fuse stack provides a general architecture for performing sensor fusion live on a robot. Some possible applications include state estimation, localization, mapping, and calibration.
A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.
A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as a map.
visualize URDF/XACRO file, URDF Viewer works on Windows/MacOS/Linux
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration
This repository maintains the implementation of "Event-based Stereo Visual Odometry".
Unmanned Surface Vehicle simulation on Gazebo with water current and winds
Translated🦆 Feetech HD1910 Microduck replica: one-legged balance, ready-to-use models, Chinese console, custom HAT/IMU & 3-step build guides. No training required.
Use LiDAR to map the static world
A robust sensor fusion library for online localization.
[LIBERO-MAX] A paired benchmark for robot-policy robustness to controlled changes introduced during execution.
An Event-Driven, Asynchronous, Behavioral State Machine Library for ROS (Robotic Operating System) applications written in C++
ROS support for the MiR Robots. This is a community project to use the MiR Robots with ROS. It is not affiliated with Mobile Industrial Robots.
Local trajectory planner based on a multilayer graph framework for autonomous race vehicles.
RAFCON (RMC advanced flow control) uses hierarchical state machines, featuring concurrent state execution, to represent robot programs. It ships with a graphical user interface supporting the creation of state machines and contains IDE like debugging mechanisms. Alternatively, state machines can programmatically be generated using RAFCON's API.
Creates gcode for use on drawbots