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2000
Springer

Experimental Comparison of Techniques for Localization and Mapping Using a Bearing-Only Sensor

9 years 9 months ago
Experimental Comparison of Techniques for Localization and Mapping Using a Bearing-Only Sensor
:We present a comparison of an extended Kalman lter and an adaptation of bundle adjustment from computer vision for mobile robot localization and mapping using a bearing-only sensor. We show results on synthetic and real examples and discuss some advantages and disadvantages of the techniques. The comparison leads to a novel combination of the two techniques which results in computational complexity near Kalman lters and performance near bundle adjustment on the examples shown.
Matthew Deans, Martial Hebert
Added 25 Aug 2010
Updated 25 Aug 2010
Type Conference
Year 2000
Where ISER
Authors Matthew Deans, Martial Hebert
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