Self-Driving Toy Car Using Deep Learning

Algorithm For Self Driving Car

This project talks about the development of neural network using JavaScript without the use of aany tensorflow libraries. This is an attempt to develop a model for self driving vehicle wherein the code for sensors and movement of the car is made

GitHub repository showcasing a self-driving car project, complete with data collection, neural network model training, and seamless integration with the Udacity Self-Driving Car Simulator.

5단계 자율주행 자동차 상용화 시, 활용케 될 호출 및 내부 제어 어플리케이션입니다.

Web-based simulation platform for sensor-equipped autonomous vehicles, featuring a custom-built neural network for real-time traffic navigation and decision-making

Self-Driving-Car system integration to drive real car!

Behavioral cloning for self-driving car steering wheel angle prediction using Convolutional Neural Networks running on Tensorflow and Keras

Third Project of the Udacity Self-Driving Car Nanodegree Program

使用树莓派3b来实现无人驾驶汽车

A self-driving car simulator built with Unity

This repository contains C++ code for implementation of PID controller to derive steering angles for a car to drive around a circular track. This task was implemented to partially fulfill Term-II goals of Udacity's self driving car nanodegree program

Udacity Self-Driving Car Nanodegree - PID Controller project

A fully convolutional approach to identifying road pixels in images

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

Clone driving behavior in simulator

Udacity: Self-Driving Car Engineer Nanodegree | Project: Use Deep Learning to Clone Driving Behavior