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)
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
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.
Training and running SDC in simulator env
🏎️ Behavioral Cloning Project using NN with Keras for the Self-Driving Car Nanodegree at Udacity
Udacity Self Driving Car Nanodegree - Behavioral Cloning
SDC Nanodegree - Behavioral Clonning
Project 3 of Term 1 in the Udacity Self Driving Car Nanodegree
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