Occurrences of traffic signs that belong to certain sign categories and occurrences of crossroads of various topologies are utilized in detecting change in the urban roadenvironment that moves past an ego-car. Three ...
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ISBN:
(纸本)9783319937106;9783319937090
Occurrences of traffic signs that belong to certain sign categories and occurrences of crossroads of various topologies are utilized in detecting change in the urban roadenvironment that moves past an ego-car. Three urban environment types, namely downtown, residential and industrial/commercial areas, are considered in the study and changes between these are to be detected. In the preparatory phase, the ego-car is used for traffic sign and crossroads data collection. In the application phase, the ego-car hosts an advanced driver assistance system (ADAS) that captures and analyzes images of the roadenvironment and computes the required input data to the proposed roadenvironmentdetection (RoED) subsystem. A statistical inference method relying on the minimum description length (MDL) principle was applied to the change detection problem at hand. The above occurrences along a route are seen as a realization of an inhomogeneous markedpoissonprocess. Page-Hinkley change detectors tuned to empirical data were set to work to detect change in the urban roadenvironment. The process and the quality of the change detection are demonstrated via examples from three urban settlements in Hungary.
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