Back to articles
Volume: 28 | Article ID: art00002
Image
The 23rd Annual Intelligent Ground Vehicle Competition: Building Engineering Students into Robotists
  DOI :  10.2352/ISSN.2470-1173.2016.10.ROBVIS-390  Published OnlineFebruary 2016
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 23 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 four-day competition are highlighted. Finally, an assessment of the competition based on participation is presented.

Subject Areas :
Views 31
Downloads 2
 articleview.views 31
 articleview.downloads 2
  Cite this article 

Bernard L Theisens, "The 23rd Annual Intelligent Ground Vehicle Competition: Building Engineering Students into Robotistsin Proc. IS&T Int’l. Symp. on Electronic Imaging: Intelligent Robots and Computer Vision XXXIII: Algorithms and Techniques,  2016,  https://doi.org/10.2352/ISSN.2470-1173.2016.10.ROBVIS-390

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2016
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology