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- W2133009434 abstract "The paper addresses the problem of object perception for intelligent vehicle applications with main tasks of detection, tracking and classification of obstacles where multiple sensors (i.e.: lidar, camera and radar) are used. New algorithms for raw sensor data processing and sensor data fusion are introduced making the most information from all sensors in order to provide a more reliable and accurate information about objects in the vehicle environment. The proposed object perception module is implemented and tested on a demonstrator car in real-life traffics and evaluation results are presented." @default.
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- W2133009434 date "2014-06-01" @default.
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- W2133009434 title "Object perception for intelligent vehicle applications: A multi-sensor fusion approach" @default.
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- W2133009434 doi "https://doi.org/10.1109/ivs.2014.6856588" @default.
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