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.

Lidar Obstacle Detection

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.

.net wrapper of YDLidar sdk

Slamtec RPLIDAR with a Raspberry PI

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

Implementation of the Extended Kalman Filter in C++

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

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

Implementing a Bicycle tracker with Extended Kalman Filters in C++ for a self-driving car

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.

An Extended Kalman Filter Project