A low cost vision-guided car for autonomous racing car competitions

Cubero, Samuel and Tjoe, Donal (2007) A low cost vision-guided car for autonomous racing car competitions. In: M2VIP 2005: 12th Annual Conference on Mechatronics and Machine Vision in Practice, 29 Nov-1 Dec 2005, Manila, Philippines.

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Abstract

This paper presents a brief “case study” report on the design and performance of a low-cost selfdriving, self-learning vision-guided robot car (VIC) that can drive in a left or right side lane and even identify and overtake obstacles or vehicles in front of it. In the future, it is hoped that more of these types of low-cost robots will be built and used for fully autonomous robotic racing car competitions. Topics that are covered herein include a brief description of CMU’s NAVlab self-driving car, which inspired this work, low-cost mechanical and electronic hardware, image analysis, object detection, ANN (Artificial Neural Network) training, the control software, test results and future work to improve robot performance and capabilities


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Author retains copyright. Full conference proceedings held in disk format in USQ Library at call no. AV 629.89 Con.
Depositing User: Ms Leslie Blay
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Mechanical and Mechatronic Engineering
Date Deposited: 18 May 2010 06:57
Last Modified: 02 Jul 2013 23:54
Uncontrolled Keywords: robotics; self-driving car
Fields of Research (FOR2008): 09 Engineering > 0902 Automotive Engineering > 090203 Automotive Mechatronics
09 Engineering > 0913 Mechanical Engineering > 091303 Autonomous Vehicles
13 Education > 1302 Curriculum and Pedagogy > 130212 Science, Technology and Engineering Curriculum and Pedagogy
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
URI: http://eprints.usq.edu.au/id/eprint/8130

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