There are 23 repositories under self-driving-cars topic.
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]
Motion Planner for Self Driving Cars
Vehicle Detection with Convolutional Neural Network
Cooperative Driving Dataset: a dataset for multi-agent driving scenarios
Path planning implemented with behavior trees
An Intelligent Modular Real-Time Vision-Based System for Environment Perception (NeurIPS 2022 Workshop)
My 10 takeaways from the 2019 Intelligent Vehicle Symposium
Fast and Robust Registration of Partially Overlapping Point Clouds in Driving Applications
Rich literature review and discussion on the implementation of "Hierarchical Decision-Making for Autonomous Driving"
Stereo depth estimation for self-driving cars đźš—
An Integrated Cyber-Physical Ecosystem for Autonomous Driving Research and Education
Intelligent Driver Monitoring system for Autonomous Vehicles
Semantic Understanding of Foggy Scenes with Purely Synthetic Data
A macroscopic multivehicle tesbed and hardware-in-the-loop simulator for autonomous driving
Using OpenCV to detect Lane Lines on a road, one of the most fundamental concepts for building a Self-Driving car.
Self-Driving Cars with ROS 2 and Autoware
Curated List of Self-Driving Cars Resources
Street lanes finder for self-driving carsđźš—.
Lane Finding Project for Self-Driving Car ND
A model predictive controller for 2D vehicle trajectories
Attacking Vision based Perception in End-to-end Autonomous Driving Models
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.
Reinforcement Learning + Imitation Learning based approach to AI Driving Olympics
Julia sample codes for Autonomy, Robotics and Self-Driving Algorithms.
Visual Perception Stack For Self-Driving Cars
The aim of this project is to allow a self driving car to steer autonomously in a virtual environment.
More details at:
Piloto automatico AgroTrack