Self-driving Car Nano-degree. Term 2: Sensor Fusion. Project 2: Unscented Kalman Filter

UKF project for Udacity SDCND term 2

Extended Kalman Filter for sensor fusion Radar and LiDAR inputs to track an object

CDFF-Dev provides tools to develop, test, visualize, and perform analysis on data fusion products. Forked from https://gitlab.com/h2020src/og3/cdff_dev, where issues and pull requests are processed.

This repository contains all the completed projects of SFND with Udacity

Sensor Fusion of Camera + LiDAR to determine time to collision (TTC)

State Estimation of a 3D Quad with the use of Bayes Rules (Extended Kalman Filter)

A hardware and software sensor framework for automotive data collection based on Raspberry Pi.

List of Projects pertaining to Udacity's world famous "Self Driving Car Engineer Nanodegree" Program.

Hands-on Laboratory exercises on 8085 and AVR boards for "Microprocessors Laboratory" course in NTUA

A course project developed with a focus to build an experimental setup for persistent pipe monitoring robot that detects leaks in underground water pipes.

Information Sparsification on VINS (IS-VINS)

A user-friendly toolkit for engineers and researchers to address the problem of aligning measurements from gyroscopes mounted on the same rigid body.

Semester project for my Robotic Sensing and Navigation course: Fusing pedestrian detection outputs from RGB, IR, and LiDAR sensors.

CubeSat Flight Computer and Radio - EE175 Senior Design F22

Robot platooning, sensor fusion of odometry and inertial unit and more ...

Collision Avoidance Framework integrating Lidar and camera measurements, implementing advanced bounding boxes and Lidar and Camera based Time To Collision (TTC)

list of papers, code, datasets and other resources