DocumentCode
2485982
Title
ICU: An introduction to object identification and mapping
Author
MacAllister, Brian ; Santore, John
Author_Institution
Dept. of Math. & Comput. Sci., Bridgewater State Coll., Bridgewater, MA, USA
fYear
2009
fDate
9-10 Nov. 2009
Firstpage
210
Lastpage
217
Abstract
A single undergrad student, who was new to the topics of robot vision and mapping, over the course of a semester completed a scavenger hunt robot project. The robot was programmed to search for and identify a finite set of brightly colored objects using a color blob tracking vision sensor, and display a map of where they were located. The robot was given five trial runs in which it was able to find most of the colored objects and draw a map of where they were located. Overall, the project was a success. These results show the possibility of having such projects that include both vision and mapping be completed by smaller groups of beginner students in short amounts of time; such projects used to involve teams of five or six students.
Keywords
SLAM (robots); image sensors; object detection; object recognition; robot programming; robot vision; tracking; ICU; color blob tracking vision sensor; object identification; object mapping; robot vision; scavenger hunt robot project; Analog circuits; Discrete event simulation; Frequency synthesizers; Hardware design languages; Performance analysis; Phase locked loops; Phase noise; Radio frequency; Semiconductor device modeling; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Technologies for Practical Robot Applications, 2009. TePRA 2009. IEEE International Conference on
Conference_Location
Woburn, MA
Print_ISBN
978-1-4244-4991-0
Electronic_ISBN
978-1-4244-4992-7
Type
conf
DOI
10.1109/TEPRA.2009.5339618
Filename
5339618
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