Verification of optical in-vehicle occupant classification systems. Systematics, hardware environment and validation tools
Verification of optical in-vehicle occupant classification systems. Systematics, hardware environment and validation tools
This paper presents a novel general evaluation framework for optical in-vehicle occupant classification systems. The proposed solution includes a guideline for systematic evaluation of possibly influencing parameters for vision based in-vehicle applications, definition of key parameters, evaluation and analysis of arising conditions. Subsequently, a manageable test matrix and suitable test procedures are derived, using a DOE1 approach. Furthermore, the functionality and underlying intent of an image acquisition and injection hardware for automotive HIL2 validations is discussed. The functionality of the presented hard- and software toolset not only includes capturing image data, but also the surveillance of the algorithm performance by monitoring CAN signals, and re-injection of the captured data in offline tests in order to be able to perform rapid and efficient software evaluations (i.e. algorithm updates, software changes).
Document information
Verification of optical in-vehicle occupant classification systems. Systematics, hardware environment and validation tools
Absicherung der Funktionalität optischer Sicherheitssysteme im Fahrzeug-Innenraum zur Insassenklassifizierung
2007
14 Seiten, 6 Bilder, 2 Tabellen, 8 Quellen
Conference paper
English
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