RC Car Racing Challenge

Introduction

Time	Team (setting 20min + racing 15min + spare 5min)
09:30 - 10:10	ROUTE
09:50 - 10:30	DRIVETHROUGH
10:10 - 10:50	NAVI
10:30 - 11:10	PATHFINDER
10:50 - 11:30	KALMANIACS
11:10 - 11:50	SAMPLE
11:50 - 12:00	Score Announcement

	Team Name	Member 1	Member 2	Member 3
1	SAMPLE	PARK SANG WON	KIM MINSIK	CHOI WOOHEYOK
2	PATHFINDER	PARK JONGHAE	LEE JUNSEO	SON HYEONDAL
3	DRIVETHROUGH	KIM JIHONG	JUNG HYUNJIN	HAN MANHYUNG
4	NAVI	NAM HYOIN	KIM JUNSEOK	JIN SUNG HYUN
5	ROUTE	KIM DONGHWAN	YOUN JONGHYO	KIM YOHWAN
6	KALMANIACS	SONG JAEYOUNG	BEHRENS MATHIAS INGEMAN	FORMAZ VINCIANE

This contest will show off the autonomous driving with a RC car. Winners will be chosen based on the number of passed waypoints and race completion time in real race tracks.

Date: 2021/12/17 (Friday)
Time: 9:30AM - Until the challenge ends
Location: Building 300, 2nd floor, Gym
More information about previous project leaderboards

Schedule

Goal

The objective of this contest is to encourage entrants to create a robust and fast robot driving policy to control an RC car with LiDAR. Students have to use behavior cloning (GPR) or implement a deep learning algorithm for driving policy. The map of the environment is not given to RC Car, so the RC car needs to estimate its control input using the LiDAR observations. The goal of the contest is to complete race in the fastest time without collision.

Details

Racing Track

Driving Policy

The driving policy generates an efficient path to race without colliding on track. To generate a proper action that the RC car can follow, dynamics of the RC car (e.g. rotation angle, speed, ...) should be considered while generating actions.