Automated Parking Test Using ISAR Images from Automotive Radar

Abstract

Automated driving tests using cameras have been researched for expediting the training and testing of car drivers. We propose an automated parking test using millimeter-wave automotive radars. The advantage is that these radars can be operated even in low visibility conditions. We propose generating high-resolution inverse synthetic aperture radar (ISAR) images of a vehicle under test (VUT) parking into a designated parking slot from an externally mounted radar. The trajectory of the motion is estimated from the ISAR data using polynomial curve fitting from which the VUT is deemed to have either correctly or incorrectly parked. We experimentally validate the proposed method with millimeter-wave radar data gathered for cars performing perpendicular and 45° angle parking.