Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks (AAAI 2019, oral)

Algorithm that steers a vehicle by using just the front-facing camera as an input feed (Advance lane detection)

A very basic self-driving car model to train road recognition and steering.

An autonomous vehicle simulation in ROS and Gazebo. Built around https://github.com/osrf/car_demo

This project demonstrate basic self driving car model using udacity car driving simulator

Contains ML files used to train the self-driving car, its implementation using raspberry pi, lane detection algorithm, and motor control codes.

Steering Angle Prediction in Self-Driving cars to enable end-to-end navigation.

Implementation of Proportional–Integral–Derivative (PID) controller for Self-Driving-Car steering angle

Using Deep Learning to Predict Steering Angles.

An automated vehicle simulation with explainabilty using LIME

teaching cars to drive

Predict steering angle of a self driving car using behaviorial cloning

Driving the car autonomously around the track

Train deep neural network to learn from human driving behavior to predict the steering angel to realize autonomous steering.

Self-Driving Nano Degree Program : Behaviorial Cloning Project

Training and running SDC in simulator env

This repository contains starting files for the Behavioral Cloning Project. In this project, you will use what you've learned about deep neural networks and convolutional neural networks to clone driving behavior. You will train, validate and test a model using Keras. The model will output a steering angle to an autonomous vehicle. We have provi…

A deep neural network approach to clone human driving behavior

Self-Driving Nano Degree Program : Behaviorial Cloning Project

🏎️ Behavioral Cloning Project using NN with Keras for the Self-Driving Car Nanodegree at Udacity