Abstract
In this paper an approach for the localization of passengers inside a vehicle by the use of ultra wideband technology (UWB) is presented. Established approaches as static background subtraction for the separation of fore- and background show good performance in static scenes. But in the case of a dynamic surrounding such as a car’s interior, former techniques are limited, since significant errors are produced as soon as the scene gets dynamic.
Instead of trying to separate fore- and background, the presented approach involves the complete data set in a first step. Since human breathing shows certain behaviour such as a typical frequency and amplitude, the breathing movement can be separated from other movement or static parts of the radar scan. The respiration and by that the passenger inside a vehicle is located and tracked.
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Galdia, P., Koch, C., Georgiadis, A. (2011). Localization of Passengers Inside Intelligent Vehicles by the Use of Ultra Wideband Radars. In: Kim, Th., Adeli, H., Ramos, C., Kang, BH. (eds) Signal Processing, Image Processing and Pattern Recognition. SIP 2011. Communications in Computer and Information Science, vol 260. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27183-0_11
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DOI: https://doi.org/10.1007/978-3-642-27183-0_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27182-3
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