Explore live open-source projects and AI models.

Realtime Semantic Segmentation (ICNet) for Self-Driving Vehicles

Extended Kalman Filter and Deep Learning to detect vehicles from RGB and LiDAR data (Sensor Fusion and Tracking project of the Udacity Self-Driving Car Engineer Nanodegree Program)

A deep learning model has been developed especially for self-driving cars like Tesla, which uses complete automatic support to drive the vehicle to recognizes traffic signs and follow them properly

For this project, ROS nodes will be writing to implement core functionality of the autonomous vehicle system, including traffic light detection, control, and waypoint following! Then test the code using a simulator, and when it's ready, the project will be run on real self_driving car Karla .

Forza Horizon 4 Self Driving Vehicle using Artificial Intelligence

This repository provides information and knowledge regarding the ongoing progress, evolution, and development of our self-driving robot vehicle, which was created and coded by us as participants in the Future Engineers 2024 division of the World Robot Olympiad (WRO).

AI-driving Vehicle Simulation using Machine Learning(CNN) | PyTorch implementation of "End to End Learning for Self-Driving Cars" (arXiv:1604.07316)

Vehicle detection project - Udacity self driving cr

Problem Statement A smart city needs smart mobility, and to achieve this objective, the travel should be made convenient through sustainable transport solutions. Transportation system all over the world is facing unprecedented challenges in the current scenario of increased population, urbaniz... Read more

Reliable and consistent lane line detection for self driving cars across change of road conditions, lighting conditions, different coloured lane lines and surpassing vehicles