NDLI: On-Board Vision Processing for Small UAVs: Time to Rethink Strategy

Content Provider	IEEE Xplore Digital Library
Author	Ehsan, S. McDonald-Maier, K.D.
Copyright Year	2009
Abstract	The ultimate research goal for unmanned aerial vehicles (UAVs) is to facilitate autonomy of operation.Research in the last decade has highlighted the potential of vision sensing in this regard. Although vital for accomplishment of missions assigned to any type of unmanned aerial vehicles, vision sensing is more critical for small aerial vehicles due to lack of high precision inertial sensors. In addition, uncertainty of GPS signal in indoor and urban environments calls for more reliance on vision sensing for such small vehicles. With off-line processing does not offer an attractive option in terms of autonomy, these vehicles have been challenging platforms to implement vision processing on-board due to their strict payload capacity and power budget. The strict constraints drive the need for new vision processing architectures for small unmanned aerial vehicles. Recent research has shown encouraging results with FPGA based hardware architectures. This paper reviews the bottle necks involved in implementing vision processing on-board,advocates the potential of hardware based solutions to tackle strict constraints of small unmanned aerial vehicles and finally analyzes feasibility of ASICs, Structured ASICs and FPGAs for use on future systems.
Starting Page	75
Ending Page	81
File Size	853472
Page Count	7
File Format	PDF
ISBN	9780769537146
DOI	10.1109/AHS.2009.6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Unmanned aerial vehicles Payloads Humans Remotely operated vehicles Hardware Energy consumption Batteries Field programmable gate arrays Mobile robots Remote monitoring
Content Type	Text
Resource Type	Article

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