The 21st annual intelligent ground vehicle competition: robotists for the future

Bernard L. Theisen

doi:10.1117/12.2044468

3 February 2014 The 21st annual intelligent ground vehicle competition: robotists for the future

Bernard L. Theisen

Proceedings Volume 9025, Intelligent Robots and Computer Vision XXXI: Algorithms and Techniques; 902504 (2014) https://doi.org/10.1117/12.2044468
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

The Intelligent Ground Vehicle Competition (IGVC) is one of four, unmanned systems, student competitions that were founded by the Association for Unmanned Vehicle Systems International (AUVSI). The IGVC is a multidisciplinary exercise in product realization that challenges college engineering student teams to integrate advanced control theory, machine vision, vehicular electronics and mobile platform fundamentals to design and build an unmanned system. Teams from around the world focus on developing a suite of dual-use technologies to equip ground vehicles of the future with intelligent driving capabilities. Over the past 21 years, the competition has challenged undergraduate, graduate and Ph.D. students with real world applications in intelligent transportation systems, the military and manufacturing automation. To date, teams from over 80 universities and colleges have participated. This paper describes some of the applications of the technologies required by this competition and discusses the educational benefits. The primary goal of the IGVC is to advance engineering education in intelligent vehicles and related technologies. The employment and professional networking opportunities created for students and industrial sponsors through a series of technical events over the fourday competition are highlighted. Finally, an assessment of the competition based on participation is presented.

Citation Download Citation

Bernard L. Theisen "The 21st annual intelligent ground vehicle competition: robotists for the future", Proc. SPIE 9025, Intelligent Robots and Computer Vision XXXI: Algorithms and Techniques, 902504 (3 February 2014); https://doi.org/10.1117/12.2044468

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