DocumentCode :
3755951
Title :
Algorithms for tracking with a foveal sensor
Author :
Gregory Spell;Douglas Cochran
Author_Institution :
Pratt School of Engineering, Duke University, Durham, NC 27708 USA
fYear :
2015
Firstpage :
1563
Lastpage :
1565
Abstract :
A foveal sensor employs a small region of high acuity surrounded by a periphery of lesser acuity. This paper describes an approach for managing such a sensor for tracking a single target. This approach seeks to adaptively position the high-acuity region of the sensor to keep it centered on the target. This scheme is incorporated into a Kalman filter, suitably modified to account for the nonlinearity and spatial agility of the sensor. It is evaluated using simulations in a two-dimensional target tracking scenario.
Keywords :
"Robot sensing systems","Target tracking","Kalman filters","Position measurement","Spatial resolution","Measurement uncertainty","Noise measurement"
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2015 49th Asilomar Conference on
Electronic_ISBN :
1058-6393
Type :
conf
DOI :
10.1109/ACSSC.2015.7421409
Filename :
7421409
Link To Document :
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