This project is intended to simulate self driving car model and how they make their decisions whenever obstacles comes into their path however real cars have much more complex algorithms, decision making processes and deep learning concepts.

A comprehensive implementation of a self-driving car system using deep learning and computer vision techniques. Includes steering angle prediction, lane segmentation, and object detection, with YOLO and CNN models.

The goal of this project is to make an autonomous self-driving car, capable of maneuvering around bends, avoiding obstacles and following traffic signals and road signs.

This project implements reinforcement learning to generate a self-driving car-agent with deep learning network to maximize its speed. The convolutional neural network was implemented to extract features from a matrix representing the environment mapping of self-driving car.

Contains ML files used to train the self-driving car, its implementation using raspberry pi, lane detection algorithm, and motor control codes.

2022年11月10日 · After my second year of university in the summer of 2021, I decided to work on one of the most advanced projects up to that time — developing an autopilot software from scratch and implementing...

Self-driving car processes input, tracks a track and sends instructions to the actuators that control acceleration, braking, and steering. The software tracks traffic by means of hard-coded rules, preventive algorithms, predictive modeling, and "smart" discrimination on objects, helping the software to follow rules on transport.

This project uses Arduino and Raspberry Pi to develop an automated vehicle system capable of navigating and avoiding obstacles independently. This project leverages sensors and machine learning techniques to enhance pathfinding and ensure safety, making it a hands-on exploration of autonomous driving technology. - sourbhryadav1/Self-Driving-Car ...

2024年1月31日 · Which are the best open-source self-driving-car projects? This list will help you: apollo, AirSim, carla, neurojs, donkeycar, self-driving-car, and lanenet-lane-detection.

Explore the exciting world of self-driving cars through our simulation project. Witness the integration of neural networks and machine learning to simulate real-life driving scenarios.