Development and Experimental Validation of an Intelligent Camera Model for Automated Driving

Simon Genser*, Stefan Muckenhuber, Selim Solmaz, Jakob Reckenzaun

*Korrespondierende/r Autor/-in für diese Arbeit

    Publikation: Beitrag in einer FachzeitschriftArtikelBegutachtung

    Abstract

    The virtual testing and validation of advanced driver assistance system and automated driving (ADAS/AD) functions require efficient and realistic perception sensor models. In particular, the limitations and measurement errors of real perception sensors need to be simulated realistically in order to generate useful sensor data for the ADAS/AD function under test. In this paper, a novel sensor modeling approach for automotive perception sensors is introduced. The novel approach combines kernel density estimation with regression modeling and puts the main focus on the position measurement errors. The modeling approach is designed for any automotive perception sensor that provides position estimations at the object level. To demonstrate and evaluate the new approach, a common state-of-the-art automotive camera (Mobileye 630) was considered. Both sensor measurements (Mobileye position estimations) and ground-truth data (DGPS positions of all attending vehicles) were collected during a large measurement campaign on a Hungarian highway to support the development and experimental validation of the new approach. The quality of the model was tested and compared to reference measurements, leading to a pointwise position error of
    9.60% in the lateral and 1.57% in the longitudinal direction. Additionally, the modeling of the natural scattering of the sensor model output was satisfying. In particular, the deviations of the position measurements were well modeled with this approach.
    Originalspracheenglisch
    Aufsatznummer7583
    Seitenumfang22
    FachzeitschriftSensors
    Jahrgang21
    Ausgabenummer22
    DOIs
    PublikationsstatusVeröffentlicht - 1 Nov. 2021

    ASJC Scopus subject areas

    • Artificial intelligence
    • Signalverarbeitung
    • Elektrotechnik und Elektronik
    • Fahrzeugbau
    • Analytische Chemie
    • Information systems
    • Instrumentierung
    • Atom- und Molekularphysik sowie Optik
    • Biochemie

    Fields of Expertise

    • Information, Communication & Computing

    Treatment code (Nähere Zuordnung)

    • Application

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