LiDAR Guide
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Updated
Jan 4, 2024 - Python
LiDAR Guide
Slamtec RPLIDAR with a Raspberry PI
Raspberry Pi powered robot with camera live stream and 360° lidar.
VeloView performs real-time visualization and easy processing of live captured 3D LiDAR data from Velodyne sensors (Alpha Prime™, Puck™, Ultra Puck™, Puck Hi-Res™, Alpha Puck™, Puck LITE™, HDL-32, HDL-64E). Runs on Windows, Linux and MacOS. This repository is a mirror of https://gitlab.kitware.com/LidarView/VeloView-Velodyne.
Explore and analyze LiDAR data from Global Ecosystem Dynamics Investigation (GEDI) of NASA
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.
High-performance localization software for autonomous vehicles. A particle filter is combined with a map to localize a vehicle.
Implementation of the Extended Kalman Filter in C++
An Extended Kalman Filter Project
The Light Imaging Detection and Ranging (LIDAR) is a method for measuring distances (ranging) by illuminating the target with laser light and measuring the reflection with a sensor. The LIDAR Sensor escalates the entire mechanism with great efficiency which is notified with process and main activation codes.
.net wrapper of YDLidar sdk
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
Lidar Obstacle Detection
Assignments and Projects for the UNSW Advanced Autonomous Systems Term 1 2019
Simulation of a LiDAR (Light Detection and Ranging) sensor
Implementation using only LASER (LIDAR) measurements to predict a pedestrian
Implemented sensor fusion algorithm using an extended Kalman filter that tracks nearby moving objects using RADAR and LIDAR measurements.
Extended Kalman Filter on LiDAR and Radar sensor feed
Utilize an Unscented Kalman Filter to estimate the state of a moving object of interest with noisy Lidar and Radar measurements
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