README.md

Udacity Self-Driving Car Nanodegree Projects

This repository contains a few selected completed projects in Udacity self-driving car nanodegree program (link). The projects are related to perception, SLAM, path planning and control.

Term1 - Perception

Project Description	Project Link
Semantic Segmentation: Deletecting road pixels in an image using Deep Learning based semantic segmentation	Link
Object Detection: Deletecting & localizing vehicles on a road using Histogram of Oriented Gradients (HOG) and a linear SVM	Link
Object Detection: Deletecting driving lane using color gradients	Link
Behavioral cloning: Behavioral cloning using a CNN in a simulated environment	Link

Term2 - Sensor Fusion, Localization & Control

Project Description	Project Link
Model Predictive Control: MPC to control a vehicle given waypoints to be followed and control information	Link
Extended Kalman Filter: EKF to localize a vehicle using simulated LiDAR and RADAR data	Link
Unscented Kalman Filter: UKF to localize a vehicle using simulated LiDAR and RADAR data	Link
Particle Filter: PF to localize a vehicle using noisy sensor data & map landmark overservations	Link

Term3 - Path Planning

Project Description	Project Link
Model Predictive Control to control a vehicle given waypoints to be followed and control information	Link