A Survey on Modelling of Automotive Radar Sensors for Virtual Test and Validation of Automated Driving.

ABSTRACT: Radar sensors were among the first perceptual sensors used for automated driving. Although several other technologies such as lidar, camera, and ultrasonic sensors are available, radar sensors have maintained and will continue to maintain their importance due to their reliability in adverse weather conditions. Virtual methods are being developed for verification and validation of automated driving functions to reduce the time and cost of testing. Due to the complexity of modelling high-frequency wave propagation and signal processing and perception algorithms, sensor models that seek a high degree of accuracy are challenging to simulate. Therefore, a variety of different modelling approaches have been presented in the last two decades. This paper comprehensively summarises the heterogeneou

SUBMITTER: Magosi ZF 

PROVIDER: S-EPMC9370944 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature