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ANTSW
2008
Springer

A Dynamic Swarm for Visual Location Tracking

14 years 23 days ago
A Dynamic Swarm for Visual Location Tracking
Abstract. The visual localization problem in robotics poses a dynamically changing environment due to the movement of the robot compared to a static image set serving as environmental map. We develop a particle swarm method adapted to this task and apply elements from dynamic optimization research. We show that our algorithm is able to outperform a Particle Filter, which is a standard localization approach in robotics, in a scenario of two visual outdoor datasets, being computationally more effective and delivering a better localization result.
Marcel Kronfeld, Christian Weiss, Andreas Zell
Added 12 Oct 2010
Updated 12 Oct 2010
Type Conference
Year 2008
Where ANTSW
Authors Marcel Kronfeld, Christian Weiss, Andreas Zell
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