FOR PRE-AP/AP1/AP2 TESLA CARS ONLY: open source driving agent. You can help development by donating @ https://github.com/sponsors/BogGyver

Goal of project was to detect vehicles and pedestrians using Lidar points in real time.

This repository contains ROS2 Humble packages implementing hybrid path planning algorithms, including reeds_shepp_hybrid_astar and dubins_hybrid_star

3D Autonomous Self-Driving Car Simulator with ROS

AWS Deepracer organised by ANZ Melbourne collaborated with Amazon to have a run

Autonomous RC Car using OpenCV,Python and Neural Network with Raspberry pi

The software for a self driving RC car

In this project I have tried out designing a Neural Network code to traing and classify images into forward, left and right direction and send the data to arduino via bluetooth to drive the arduino controlled Robotic car.

Built CNN model for autopilot Car for predicting steering wheel angle

Predicting Yaw and Pitch of a moving vehicle (comma ai) including more stuff that can help make your car drive itself.

I've developed a model using a Convolutional Neural Network (CNN) to classify traffic signs using LeNet architecture

Notes I took/used for passing Sensor Fusion Nanodegree

A Computer Vision techniques to develop an advanced algorithm that can detect and track lane boundaries

Used a PID Controller along with a Stanley controller to create the Longitudinal and Lateral controls for a self driving car.

Sourcecodes of my projects from Udacity Self Driving Car Nanodegree program.

This is the repo for my ongoing Self Driving Car Nanodegree Term 1 Sholarship

Exploring self-driving with Arduino and C++!

AI DriverLess Car is a high performance, flexible architecture which accelerates the development, testing, and deployment of Autonomous Vehicles.

Udacity Vehicle Detection Project for Self Driving Cars (SDC) Term 1.