RC Car Racing: A Navigation Challenge

Introduction

Time	Task
11:00 - 12:30	Navigation Challenge (Trial 1)
12:30 - 13:30	Autonomous RC Car Racing
13:30 - 15:00	Navigation Challenge (Trial 2)

	Team Name	Member 1	Member 2	Member 3
1	Team Cook	이동환	박세진	최창운
2	HelloCarBot	김경찬	이동진	이채현
3	WHEELSTUCK	최민호	김다휘	Kim Alexander Joongie
4	alphaCar	김상민	장호준	박보경
5	JODOO	오정우	노호준	이상현
6	Jokar	심동석	김태희

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.

Date: 2019/12/20 (Friday)
Time: 11:00AM - 3PM (or until the challenge lasts)
Location: Building 300, Multi-Purpose Room
More information about the project

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.