RC Car Racing: A Navigation Challenge

Introduction

 
Team Name
Member 1
Member 2
Member 3
1
FiveStarSashimi
Park Seong Hyeon
Lee SeokJun
Lee Kwangjin
2
Torrent
Jang Geon Woon
Lee Sanghee
Lee Jae Hee
3
Commanding Dog
Kim Jeong Hwan
Kim Nam Gi
Kwon Dae Hee
4
Boongboong
Kim Ju Hyeon
You Jun Seung
Kim Ju Hee
5
O(logn)
Kim Siwon
Kwon O Bin
Chung Haesoo
6
Supersonic
Kim Jae Myung
Kim Taehong
Park Junmo
7
Unintelligent_System
Lucie Bechet
Joãa Guerreiro
 Dario Wirtz
8
BoksRoyce
Wi Minbok 
 Lee Jae won
 Kim Hwichang
9
Node 
 Lee Yoonjae
 Remond Nicolas Matthieu
Imasland Oeyvind 
10
2fast2curious
Hartmann Volker
Hoffmann David
Kee Hogun

This contest will show off the autonomous navigation with a RC car. Winners will be chosen based on time and accuracy of navigation to specific points within the contest environment.


Goal

The objective of this contest is to encourage entrants to create a robust and fast robot navigation software to control an RC car with a laser range finder. There are a few milestones that a RC car must visit. The map of the environment is generated by a SLAM algorithm but the accurate location of a RC car is not given, so the RC car needs to estimate its location using the laser range finder. The goal of the contest is to visit all milestones in the fastest time without collision.

Details

Localization

Unlike simulations, the true location of the RC car is unknown in the real track. Therefore the RC car should infer the location of itself by the given map data and laser scan data from the environment.

Path Planning

The path planning algorithm generate a path to visit all milestones in the given map. To generate a proper path that the RC car can follow, dynamics of the RC car (e.g., rotation angle, speed, ...) should be considered while generating path.

Hardware and Software

Teams