Self-Driving Car Projects

Overview

I was amazed by this project of Andrea Palazzi where he shares all the projects of Udacity Self-Driving Car Engineer Nanodegree.

I echoed the same for the Self-Driving Car Specialization of Faculty of Appied Science and Engineering of University of Toronto that I took recently on Coursera.

Motivation

In today industry, gaining access to the vital knowledge required in the self-driving car market proves challenging due to the strict guarding of technology and advancements by the key industry participants.

Here @diesimo-ai, we believe that in order to speed up the self-driving development process, we must support the idea of sharing more opensource resources and valuable projects.

I hope you find this helpful.

Cheers @Muntu

Table of Contents

• P1-kinematic-bicycle-model
• P2-vehicle-longitudinal-model
• P3-self-driving-vehicle-control
• P4-self-driving-vehicle-trajectory-estimation
• P5-self-driving-vehicle-state-estimation-on-roadway
• P6-visual-odometry-for-localization
• P7-self-driving-car-environment-perception
• P8-occupancy-grid-map-generator
• P9-pathfinding-algorithms
• P10-self-driving-car-motion-planner

Environment Setup for Project 3 and Project 10

• After downloading the carla simulator you need to setup your working environment as follow

1. Navigate to the PythonClient folder located in the main CarlaSimulator directory.
2. Replace all the existing files in the Course4FinalProject folder with the files from your project repository (either #3 or #10).
3. Feel free to rename this folder to the name of the project you want to test, such as p3_or_10_project_name

You're ready to go!

References

• Self-Driving Cars Specialization Courses - UoF
• Udacity Self-Driving Car Engineer Nanodegree projects - Andrea Palazzi