Proj-2013-2014-Cannonball-de-Voitures-Autonomes

= Introduction =

This project idea is to achieve autonomous scale model cars capable of traveling several laps of a set on a race. The route is signposted with panels between which the cars must pass avoiding obstacles and other competitors. The signs shall be identified by unique markers (QRCode type which are pinpointed). Barriers can also be equipped with markers indicating a slowdown, circumvention by the right or the left. Cars already "know" the circuit (ie panels embodying the circuit). The track can be fitted with "radars" identifying the vehicles and computing their velocity.

More information on Project CannonBall de voitures autonomes

=Documents=
 * Software Requirements Specification (SRS)
 * UML Diagrams

= Team =


 * Tutors : Vivien Quema, Didier Donsez


 * Members : Jules LEGROS, Benoit PERRUCHE


 * Departement : RICM 4, Polytech Grenoble

= Project objectives =

Implement an autonomous car driving itself by identifying markers.

= Progress of the project =

The project started January 14th, 2013.

Week 1 (January 13th - Janurary 19th)

 * Project discovery
 * Discovery of OpenCV

Week 2 (January 20th - Janurary 27th)

 * Discovery of ArUco
 * Run a test engine
 * Obtaining the RC car and the win8 lenovo tablet
 * Test on pololu motor controller and arduino card

Week 3 (January 28th - February 02sd)
Thus, we downloaded Visual Studio and we will work with this IDE.
 * We tried to run ArUco (markers recognition) with eclipse but we had to face a lot of problems on windows (libraries, path...)
 * Thought about how we will agence the tablette and the car (need of a camera / but tablette has only one USB plot)

To Do

 * Get the movement sequences to apply in different cases for the remote controlled car.