Abstract
Artifacts like motion blur are a common problem for vision systems on mobile robots, especially when operating under low light conditions. In this contribution we present a system that increases the average quality of camera images processed on resource-constrained mobile robots. We show a solution for estimating the magnitude of motion artifacts for every element of a continuous stream of images using data from an inertial measurement unit. Taking estimated image quality into account we describe an effective solution for congestion control between acquisition and processing modules.We build that upon a middleware that supports flexible flow control at a per-image level.
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Walter, C., Penzlin, F., Elkmann, N. (2009). Reducing Motion Artifacts in Mobile Vision Systems via Dynamic Filtering of Image Sequences. In: Kröger, T., Wahl, F.M. (eds) Advances in Robotics Research. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01213-6_12
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DOI: https://doi.org/10.1007/978-3-642-01213-6_12
Publisher Name: Springer, Berlin, Heidelberg
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