Third Project of the Udacity Self-Driving Car Nanodegree Program

A collection of all projects pertaining to different layers in the SDC software stack

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

Be Driven 🚘

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

Udacity Self Driving Car ND projects - including lane detection, Traffic sign classifier, behaviour cloning

A Japanese (Riichi) Mahjong AI Framework

Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.

Autonomous driving simulation in the Unity engine.

ROS2 End-to-End Lane Following Model with SVL Simulator

end to end learning for self-driving

Computer Vision and Machine Learning related projects of Udacity's Self-driving Car Nanodegree Program

A car trained by a deep neural network to drive itself in a video game

Elastic Boundary Projection for 3D Medical Image Segmentation - CVPR 2019

A PyTorch implementation of Implicit Behavioral Cloning

Term 1, Project 3 - Udacity Self Driving Car Nanodegree

In this project, I used a deep neural network (built with Keras) to clone car driving behavior. The dataset used to train the network is generated from Udacity's Self-Driving Car Simulator, and it consists of images taken from three different camera angles (Center - Left - Right), in addition to the steering angle, throttle, brake, and speed dur…

Behavioral Cloning Project for Self-Driving Car Nano Degree Term 1. The project includes designing a neural network and then training the car on the road in unity simulator. The CNN learns and clones the driving behavior.

Self Driving Car Nanodegree Offered By Udacity

Built and trained a convolutional neural network for end-to-end driving in a simulator, using TensorFlow and Keras. Used optimization techniques such as regularization and dropout to generalize the network for driving on multiple tracks.