Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks (AAAI 2019, oral)
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Updated
May 16, 2019 - Python
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks (AAAI 2019, oral)
Steering Angle Prediction in Self-Driving cars to enable end-to-end navigation.
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.
Contains ML files used to train the self-driving car, its implementation using raspberry pi, lane detection algorithm, and motor control codes.
An autonomous vehicle simulation in ROS and Gazebo. Built around https://github.com/osrf/car_demo
Predict steering angle of a self driving car using behaviorial cloning
Implementation of Proportional–Integral–Derivative (PID) controller for Self-Driving-Car steering angle
Using Deep Learning to Predict Steering Angles.
SDC Nanodegree - Behavioral Clonning
This project demonstrate basic self driving car model using udacity car driving simulator
Self-Driving Nano Degree Program : Behaviorial Cloning Project
🏎️ Behavioral Cloning Project using NN with Keras for the Self-Driving Car Nanodegree at Udacity
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…
Training and running SDC in simulator env
An automated vehicle simulation with explainabilty using LIME
Driving the car autonomously around the track
Deep Learning: Behavioral Cloning with Keras
teaching cars to drive
Starting files for the Udacity CarND Behavioral Cloning Project
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