This is the Capstone project of Udacity's Self Driving Car Engineer Nanodegree course. In this project we build various components to drive an autonomous car around a simulated and real-site test tracks.
| Name | Udacity account email |
|---|---|
| Ashish Raste | rasteashish@gmail.com |
| Brook Cheng | mathstacs@gmail.com |
| Noopur Divekar | noopurdivekar08@gmail.com |
Please follow the instructions here in order to get setup with:
- Robot Operating System (ROS) : Installed in either a Docker container or on an Ubuntu (recommended 16.04) operating system (OS) which could be a virtual-machine or a dedicated OS
- Udacity simulator : Installed and run in the Ubuntu OS
We implement three major components to drive Carla (Udacity's self-driving car) around the test tracks.
- Waypoint Updater
- Drive-by-wire Controller
- Traffic Light Detector
Above components' description along with the overall architecture of the system is included in the project-walkthrough document.
- Alex Lechner's post on traffic-light classification
- Vatsal Srivatsava's dataset containing traffic-light images from Udacity simulator and site, and the transfer-learning instructions