TY - GEN
T1 - Physically based radar simulation parameter of road surfaces in OpenMATERIAL
AU - Kurz, Vera
AU - Friedmann, Ludwig
AU - Van Driesten, Carlo
AU - Biebl, Erwin
N1 - Publisher Copyright:
© 2022 URSI.
PY - 2022
Y1 - 2022
N2 - To enable autonomous driving simulations are getting more and more important. A common method is ray tracing depending on geometrical optics. However, this method is not always sufficient, but has to be enhanced. It can be essential to consider material parameter, which have to be provided anyhow. OpenMATERIAL is a project collecting reliable physically based material parameter data for automotive simulations, which is published open source. Ideally the database will contain data of all important materials in future. Furthermore, the datasets have to distinguish for all in automotive applications implemented sensor types. To pursue this idea we here suggest material parameters that are important for radar applications and integrate them in OpenMATERIAL. Moreover, we provide material parameter files containing information regarding radar wave behaviour for five different road surface types in this format.
AB - To enable autonomous driving simulations are getting more and more important. A common method is ray tracing depending on geometrical optics. However, this method is not always sufficient, but has to be enhanced. It can be essential to consider material parameter, which have to be provided anyhow. OpenMATERIAL is a project collecting reliable physically based material parameter data for automotive simulations, which is published open source. Ideally the database will contain data of all important materials in future. Furthermore, the datasets have to distinguish for all in automotive applications implemented sensor types. To pursue this idea we here suggest material parameters that are important for radar applications and integrate them in OpenMATERIAL. Moreover, we provide material parameter files containing information regarding radar wave behaviour for five different road surface types in this format.
UR - http://www.scopus.com/inward/record.url?scp=85134882918&partnerID=8YFLogxK
U2 - 10.23919/AT-AP-RASC54737.2022.9814181
DO - 10.23919/AT-AP-RASC54737.2022.9814181
M3 - Conference contribution
AN - SCOPUS:85134882918
T3 - 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022
BT - 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022
Y2 - 30 May 2022 through 4 June 2022
ER -