ROS2 based robot simulations
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Updated
Jul 20, 2024 - C++
ROS2 based robot simulations
The packages required for the drone sensor systems to operate. Run on RPi hardware to record sensor data during runtime
Semantic Mapping using Surfel Mapping and Semantic Segmentation (Chen et al IROS 2019)
lego loam bor - dddmr version
Semantic Mapping using Surfel Mapping and Semantic Segmentation (Chen et al IROS 2019)
A re-implementation of A-LOAM with more modularized design and clearer logic
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
Embark on a thrilling journey with the AutoRCX, empowered by the latest cutting-edge technology to conquer distances, race, and accomplish so much more. Get ready to drive into a world of endless excitement!
A real-time LiDAR SLAM package that integrates TLOAM and ScanContext.
深蓝学院多传感器融合定位 Implementation of Multi-sensor Fusion SLAM Algorithms
ROS 2 Packages for Testing LIDAR-SLAM on a Robotic Vehicle with 3D LIDAR
Final year project for University of Bedfordshire - Exploration robot "Pathfinder"
Detect and track objects from the benchmark KITTI dataset. Classify those objects and project them into three dimensions. Fuse those projections together with LiDAR data to create 3D objects to track over time.
LIDAR SLAM for Autonomous Vehicles Playground
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