Article
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Preserved in Portico This version is not peer-reviewed
Making Automotive Radar Sensor Validation Measurements Comparable
Version 1
: Received: 28 August 2023 / Approved: 29 August 2023 / Online: 30 August 2023 (13:53:29 CEST)
A peer-reviewed article of this Preprint also exists.
Elster, L.; Staab, J.P.; Peters, S. Making Automotive Radar Sensor Validation Measurements Comparable. Appl. Sci. 2023, 13, 11405. Elster, L.; Staab, J.P.; Peters, S. Making Automotive Radar Sensor Validation Measurements Comparable. Appl. Sci. 2023, 13, 11405.
Abstract
Virtual validation of radar sensor models is becoming increasingly important for the safety validation of adf. Therefore, methods for quantitative comparison of radar measurements in the context of model validation need to be developed. This paper presents a novel methodology for accessing and quantifying validation measurements of radar sensor models. This method uses edf and the so-called dvm to effectively quantify deviations between distributions. By applying this metric, the study measures the consistency, reproducibility and repeatability of radar sensor measurements. Different interfaces and different levels of detail are investigated. By comparing the radar signals from real world experiments where different objects are present, valuable insights are gained into the performance of the sensor. In particular, the research extends to assessing the impact of varying rain intensities on the measurement results, providing a comprehensive understanding of the sensor’s behaviour under these conditions. This holistic approach significantly advances the evaluation of radar sensor capabilities and enables the quantification of the maximum required quality of radar simulation models.
Keywords
Automotive Radar; Validation Measurements; Sensor Models
Subject
Engineering, Automotive Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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