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

Ehsan, Shoaib and McDonald-Maier, Klaus D (2009) On-Board Vision Processing for Small UAVs: Time to Rethink Strategy. In: 2009 NASA/ESA Conference on Adaptive Hardware and Systems (AHS), 2009-07-29 - 2009-08-01.

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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 onboard 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. © 2009 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Notes: 2009 NASA/ESA Conference on Adaptive Hardware and Systems
Uncontrolled Keywords: cs.CV; cs.RO
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 18 Sep 2013 19:37
Last Modified: 15 Jan 2022 00:24

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