RC Car Racing: A Navigation Challenge

Introduction

Time

Team (setting 20min + racing 15min + spare 5min)

  09:30 - 10:10

  Intelligent baduk

  09:50 - 10:30

  Carpago

  10:10 - 10:50

  SuperEasy

  10:30 - 11:10

  InvictusBot

  10:50 - 11:30

  GodTeam

  11:10 - 11:50

  Averagers

  11:30 - 12:10

  Imposter

  11:50 - 12:30

  Model_Z

홍보.PNG
 
Team Name
Member 1
Member 2
Member 3
1
Carpago
Bae Byeong Hee
LEE GUNJUN
LEE HYUN IN
2
 GodTeam
KANG BYUNGGU
KIM KYUNGJUNE
SON CHANGDAE
3
SuperEasy
Heo Jae Seok
KIM KIHOON
 
4
Intelligent baduk
KIM JIN GUK
Yang Jae Hun
 Lee HeeJun
5
Imposter
KIM GYU RI
JEONG JAEYEON
KANG TAEHUN
6
InvictusBot
LEWONCZUK LOUISE JULIENNE
KIM JIN SOL
WANG JIAYUE
7
Averagers
SOHN JONG HO
LEE TAEWON
KIM JIN HYUNG
8
Model_Z
KIM MINJAE
RYOO SEUNG CHAN
lee su min

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.


Schedule

 

 

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