Unscented Kalman Filter (UKF) implementation to track vehicles using LiDAR and RADAR measurements

NSL-3130AA ROS2 USB interface

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.

This Package is based on SORT (C++) Package

An Arduino based system for autonomous gps based way-point navigation.

EKF for Radar and Lidar measurements to estimate the position and velocity an object, for example a pedestrian

In this project we detect, segment and track the obstacles of an ego car and its custom implementation of KDTree, obstacle detection, segmentation, clustering and tracking algorithm in C++ and compare it to the inbuilt algorithm functions of PCL library on a LiDAR's point cloud data.

Create 3D labelled bounding boxes in RViz

Lidar Obstacle Detection

C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud