Isabella Szottka

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Estimating the map-matched position of a vehicle on a digital map is a key technology for modern navigation and advanced driver assistance systems (ADAS). Inaccurate sensor measurements and a simplified road network representation cause uncertainties in the map-matched position. This paper describes a particle filter method for finding a robust and stable(More)
In this paper, we present a new adaptive particle filter method for tracking multiple interacting targets. We introduce a sampling strategy to consecutively sample particles and adapt their spreading according to current measurements. For multiple targets, we develop a new concept of guiding the particles by current measurements of adjacent targets. Our(More)
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