Explore live open-source projects and AI models.

Perception algorithms for Self-driving car; Lane Line Finding, Vehicle Detection, Traffic Sign Classification algorithm.

Intro to Self-Driving Cars program, where I apply my Python and C++ skills with matrices, calculus, computer vision and machine learning to solve self-driving car problems. Key projects included implementing and using sensor data to reconstruct vehicle trajectories. I achieved a very high accurac... Read more

Lane Keeping Assist function by applying Stanley method for lateral control and PID controller for longitudinal control using Python on the Carla simulator. 🚗

This repository contains C++ code for implementation of Particle Filter to localize a vehicle kidnapped in a closed environment. This task was implemented to partially fulfill Term-II goals of Udacity's self driving car nanodegree program.

Navigator, our self-driving vehicle software stack

Deep learning models for self-driving vehicles to predict other car/cyclist/pedestrian (called "agent")'s motion.

Platform for small-scale self-driving vehicles.

A real time CAN vehicle data logging, analysis and visualization tool to work with USB-CAN Interface for developing in-vehicle AI algorithms for self-driving and automation

The ability of the computer to locate and identify each object in an image/video is known as object detection. Object detection has many applications in self-driving cars, pedestrian counting, face detection, vehicle detection etc. One of the crucial element of the self-driving car is the detecti... Read more

The goal of this project is to provide object detection and information on environment model on traffic activity which helps autonomous vehicles or surveillance systems. Computer vision is an essential component for autonomous scars. Accurate detection of vehicles, street buildings, pedestrians, ... Read more