Self-Driving Car Projects

Udacity Self-Driving Car Nanodegree

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About These Projects

This collection showcases my work from the Udacity Self-Driving Car Engineer Nanodegree program. Each project focuses on fundamental concepts in autonomous vehicle technology, including computer vision, sensor fusion, localization, path planning, and control systems.

These projects demonstrate hands-on implementation of algorithms and techniques used in production self-driving systems, combining classical computer vision with modern deep learning approaches.

All Projects

Behavioral Cloning

Behavioral Cloning

Implementation of Behavioral cloning for Udacity Self driving car Nanodegree using deep learning.

Vehicle Detection

Vehicle Detection

Implementation of Vehicle detector using HoG features and Random Forest classifier.

Advanced Lane Lines

Advanced Lane Line Detection

Implementation of Advanced Lane line detection for Udacity Self driving car Nanodegree.

Traffic Sign Detection

Traffic Sign Detection

Traffic sign classifier for Self driving car using YOLO and LISA dataset.

PID Controller

PID Controller

An implementation of PID controller for self driving car trajectory tracking.

Model Predictive Control

Model Predictive Controller

Implementation of MPC for Udacity Self driving car Nanodegree.

Extended Kalman Filter

Extended Kalman Filter

Implementation of extended kalman filter for sensor fusion of lidar and radar.

Unscented Kalman Filter

Unscented Kalman Filter

Implementation of unscented kalman filter for sensor fusion of lidar and radar.

Particle Filter

Particle Filter

Implementation of Particle filter for localization using Udacity Self driving car Nanodegree.