There are 2 repositories under steering-angles topic.
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
Contains ML files used to train the self-driving car, its implementation using raspberry pi, lane detection algorithm, and motor control codes.
This project demonstrate basic self driving car model using udacity car driving simulator
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
teaching cars to drive
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.
Training and running SDC in simulator env
A deep neural network approach to clone human driving behavior
Using Deep Learning to Predict Steering Angles.
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 provided a simulator where you can steer a car around a track for data collection. You'll use image data and steering angles to train a neural network and then use this model to drive the car autonomously around the track. We also want you to create a detailed writeup of the project. Check out the writeup template for this project and use it as a starting point for creating your own writeup. The writeup can be either a markdown file or a pdf document. To meet specifications, the project will require submitting five files: model.py (script used to create and train the model) drive.py (script to drive the car - feel free to modify this file) model.h5 (a trained Keras model) a report writeup file (either markdown or pdf) video.mp4 (a video recording of your vehicle driving autonomously around the track for at least one full lap) This README file describes how to output the video in the "Details About Files In This Directory" section.
Self-Driving Nano Degree Program : Behaviorial Cloning Project
Self-Driving Nano Degree Program : Behaviorial Cloning Project
Steering Angle Prediction CNN
Project 3 of Term 1 in the Udacity Self Driving Car Nanodegree
Udacity Self Driving Car Nanodegree - Behavioral Cloning
Deep Learning: Behavioral Cloning with Keras
🏎️ Behavioral Cloning Project using NN with Keras for the Self-Driving Car Nanodegree at Udacity
Starting files for the Udacity CarND Behavioral Cloning Project
SDC Nanodegree - Behavioral Clonning