A Situation Context Aware Dempster-Shafer Fusion of Digital Maps and a Road Sign Recognition System
Jahr:
2009
Autoren/Hrsg:
Dennis Nienhüser, Thomas Gumpp and J. Marius Zöllner
Publikationstyp:
Kongressbeitrag/Proceeding
Quelle:
Intelligent Vehicles Symposium 2009
Abstract:
Speed limit information systems solely based on one modality can hardly overcome their respective intrinsic disadvantages: Digital maps lack support for short-term changes brought by variable message signs and road works, while camera based systems cannot recognize implicit speed limits and may fail in adverse lighting scenarios. In this work we show a fusion approach that is able to overcome these limitations. It is speci?cally tailored to our task by adapting sensor reliability based on the perceived situation context. This enables the camera based system to easily outvote the digital map in a construction site or the digital map to veto against uncertain camera recognition results during nighttime. The proposed fusion approach was implemented and evaluated on a qualitative base showing very promising results: The situation context aware fusion is able to deduce the correct effective speed
limit even when one of the sensors fails. Moreover, it reduces con?icts encountered between the sources compared to a not situation context aware fusion.
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