The Architecture of a Driverless Robot Car Based on EyeBot System

Shuangquan Sun, Jingwen Zheng, Zihan Qiao, Shanqi Liu, Zihan Lin, Thomas Bräunl

Research output: Contribution to journalConference article

Abstract

This paper presents the system architecture of a driverless robot car, designed to participate in the Carolo-Cup, a competition regarding automated model vehicles. We describe an implementation that completed the different tasks in this competition on our EyeBot platform in detail. EyeBot has one RGB camera as well as three infrared distance sensors, and it's powered by Raspberry Pi 3B. We developed the lane detection algorithm using the OpenCV library and completed the traffic sign recognition task based on SVM which can be used offline. Experimental and simulation results recorded in real-time are also reported. The test result showed that our programs can run at high speed to achieve stable motion control in real time and complete all the tasks in the competition. The highlight of our work is that the whole system can run on a platform with limited computing resources.

Original languageEnglish
Article number012099
JournalJournal of Physics: Conference Series
Volume1267
Issue number1
DOIs
Publication statusPublished - 17 Jul 2019
Event2019 3rd International Conference on Artificial Intelligence, Automation and Control Technologies, AIACT 2019 - Xi'an, China
Duration: 25 Apr 201927 Apr 2019

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cameras
high speed
sensors
simulation

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Sun, Shuangquan ; Zheng, Jingwen ; Qiao, Zihan ; Liu, Shanqi ; Lin, Zihan ; Bräunl, Thomas. / The Architecture of a Driverless Robot Car Based on EyeBot System. In: Journal of Physics: Conference Series. 2019 ; Vol. 1267, No. 1.
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The Architecture of a Driverless Robot Car Based on EyeBot System. / Sun, Shuangquan; Zheng, Jingwen; Qiao, Zihan; Liu, Shanqi; Lin, Zihan; Bräunl, Thomas.

In: Journal of Physics: Conference Series, Vol. 1267, No. 1, 012099, 17.07.2019.

Research output: Contribution to journalConference article

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