#Self-driving-cars
Showing 11 of 11 repositories tagged #self-driving-cars, ranked by stars
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.
End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
Intelligent Driver Monitoring system for Autonomous Vehicles
Semantic Understanding of Foggy Scenes with Purely Synthetic Data
An open-source End-to-End AI model for self driving
The aim of this project is to allow a self driving car to steer autonomously in a virtual environment.
To ease the driver to identify the Traffic Signs and also for the efficient working of Self-Driving Cars.
This repository is aimed towards using advanced computer vision techniques to accurately detect lane lines on unfavorable roads.