Tejas Buva's starred repositories
sensor-fusion
Kalman filter, sensor fusion
sensor-fusion-projects-udacity-nanodegree
This repository contains projects using LiDAR, Camera, Radar and Kalman Filters for Sensor Fusion. Since each type of sensors has their inherent strengths and limitations, it is important to investigate how they can complement each other to provide the most reliable results when attempting to determine the position and velocity of obstacles.
robotics-software-engineer-udacity-nanodegree
This repository showcases projects containing my implementations of key algorithms for localization and navigation for autonomous robots. Projects include: Localization using Particle Filter (Monte Carlo Localization), Simultaneous Localization & Mapping (RTAB-map and gmapping), and A* / RRT path planning.
Extended-Kalman-Filter
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.
Udacity-Sensor-Fusion-Nanodegree
Course projects for the Sensor Fusion Nanodegree program on Udacity.