Python package for the evaluation of odometry and SLAM
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Updated
May 10, 2024 - Python
Python package for the evaluation of odometry and SLAM
A LiDAR odometry pipeline that just works
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version
Automated, hardware-independent Hand-Eye Calibration
Convert KITTI dataset to ROS bag file the easy way!
Gazebo/ROS packages for underwater robotics simulation
LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI application and comparison on Gazebo and real-world datasets. Installation and config files are provided.
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
🔥🔥🔥🔥🔥🔥Docker NVIDIA Docker2 YOLOV5 YOLOX YOLO Deepsort TensorRT ROS Deepstream Jetson Nano TX2 NX for High-performance deployment(高性能部署)
A ROS package that implements a multi-robot RRT-based map exploration algorithm. It also has the image-based frontier detection that uses image processing to extract frontier points.
Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.
Universal Robot (UR5) Pick and Place Simulation in ROS-Gazebo with a USB Cam and Vacuum Grippers
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