DocumentCode
3712423
Title
A testing platform for on-drone computation
Author
Wang Zhou;Dhruv Nair;Oki Gunawan;Theodore van Kessel;Hendrik F. Hamann
Author_Institution
Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, Illinois 60208
fYear
2015
Firstpage
732
Lastpage
735
Abstract
This paper describes the development of a test bed for an on-drone computation system, in which the drone plays the game of ping-pong competitively (YCCD: The Yorktown Cognitive Competition Drone). Unlike other drone systems and demonstrators YCCD will be completely autonomous with no external support from cameras, servers, GPS etc. YCCD will have ultra-low power computation capabilities including on-drone real-time processing for vision and localization (non-GPS based). Architectural design and processing algorithms of the system are discussed in detail.
Keywords
"Cameras","Computers","Global Positioning System","Tracking","Economic indicators","Machine vision","Three-dimensional displays"
Publisher
ieee
Conference_Titel
Computer Design (ICCD), 2015 33rd IEEE International Conference on
Type
conf
DOI
10.1109/ICCD.2015.7357188
Filename
7357188
Link To Document