lidar-measurements 话题在 GitHub 上没有填写简介，这里按 Star 数汇总最相关的热门仓库。
VeloView 对来自 Velodyne 传感器（Alpha Prime™、Puck™、Ultra Puck™、Puck Hi-Res™、Alpha Puck™、Puck LITE™、HDL-32、HDL-64E）实时捕获的 3D LiDAR 数据进行实时可视化与便捷处理。可在 Windows、Linux 和 MacOS 上运行。此仓库是 https://gitlab.kitware.com/LidarView/VeloView-Velodyne 的镜像。
Lidar Obstacle Detection
A transparent LiDAR-inertial odometry for Livox. written to be read :D For more in depth course you can check the website below
LiDAR Guide
Utilized an Extended Kalman Filter and Sensor Fusion to estimate the state of a moving object of interest with noisy lidar and radar measurements. The project involved utilzing lidar data (Point Cloud) for position and radar data (Doppler) for radial velocity.
Containerized ROS node that communicates with x4 lidar via USB pass though from the docker host
Code and documents to support the Thesis: Progress Towards LiDAR Based Bicycle Detection in Urban Environments Edit Add topics
High-performance localization software for autonomous vehicles. A particle filter is combined with a map to localize a vehicle.
Slamtec RPLIDAR with a Raspberry PI
.net wrapper of YDLidar sdk
Raspberry Pi powered robot with camera live stream and 360° lidar.
Simulation of a LiDAR (Light Detection and Ranging) sensor
Implementation using only LASER (LIDAR) measurements to predict a pedestrian
A LiDAR 3D Mapping system which is very low cost at 5000₹(~80$) made using arduino.
Utilize an Extended Kalman Filter to estimate the state of a moving object of interest with noisy Lidar and Radar measurements
Explore and analyze LiDAR data from Global Ecosystem Dynamics Investigation (GEDI) of NASA
Implementing Extended Kalman Filter in C++
Utilize an Unscented Kalman Filter to estimate the state of a moving object of interest with noisy Lidar and Radar measurements
Implementation of the Extended Kalman Filter in C++
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