Abstract
Visual sensing systems are one of the most important information sources for autonomous mobile robots. By using temporal information, the object detection can be stabilized over time. In this paper we show, that a tight coupling between the visual system and such a tracking instance allows to integrate a lot more different information sources than it would be possible with two separate modules. This linkage between classification and temporal integration allows to stabilize and accelerate the detection task at the same time as shown in detail in the results section.
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References
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Mayer, G., Utz, H., Palm, G. (2006). Information Integration in a Multi-Stage Object Classifier. In: Levi, P., Schanz, M., Lafrenz, R., Avrutin, V. (eds) Autonome Mobile Systeme 2005. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-30292-1_27
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DOI: https://doi.org/10.1007/3-540-30292-1_27
Publisher Name: Springer, Berlin, Heidelberg
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