Algorithm that steers a vehicle by using just the front-facing camera as an input feed (Advance lane detection)
This project introduces the autonomous robot which is a scaled down version of actual self-driving vehicle and designed with the help of neural network. The main focus is on building autonomous robot and train it on a designed track with the help of neural network so that it can run autonomously without a controller or driver on that specific tr…
Using deep learning and Convolutional Neural Networks to train a driverless vehicle and use of socket.io and Flask to for real time data communication to simulate the vehicle in a simulator
Formula Student Driverless Simulator Rust API.
UDS (Udacity Driverless System) is an autonomous driving project developed using deep learning techniques and socket communication with a simulator. It was developed as an internship project during my internship at Zhilin Information Technology Co., Ltd., organized by Taiyuan University of Technology and the company itself, in 10.04.2024-23.04.2024
AI DriverLess Car is a high performance, flexible architecture which accelerates the development, testing, and deployment of Autonomous Vehicles.
Reinforcement Learning for Autonomous Driving
In this project , Car lanes are detected on a sample road video & image by using opencv_techniques and concepts
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