The 17th Annual Intelligent Ground Vehicle Competition: intelligent robots built by intelligent students

Bernard L. Theisen

doi:10.1117/12.846780

18 January 2010 The 17th Annual Intelligent Ground Vehicle Competition: intelligent robots built by intelligent students

Bernard L. Theisen

Author Affiliations +

Proceedings Volume 7539, Intelligent Robots and Computer Vision XXVII: Algorithms and Techniques; 753903 (2010) https://doi.org/10.1117/12.846780
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, 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 ground vehicle. Teams from around the world focus on developing a suite of dual-use technologies to equip their system of the future with intelligent driving capabilities. Over the past 17 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 70 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 four-day competition are highlighted. Finally, an assessment of the competition based on participation is presented.

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Bernard L. Theisen "The 17th Annual Intelligent Ground Vehicle Competition: intelligent robots built by intelligent students", Proc. SPIE 7539, Intelligent Robots and Computer Vision XXVII: Algorithms and Techniques, 753903 (18 January 2010); https://doi.org/10.1117/12.846780

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