Research on Comprehensive Performance Testing and Evaluation Method of Vehicle Parking Radar

Abstract

As a critical component of parking assistance systems, their performance directly influences the accuracy and reliability of vehicle parking operations. This paper enriches the testing scenarios for automotive parking radars. Specifically, it employs multiple test vehicles to conduct acoustic index tests on different types of obstacles at various testing angles. Acoustic signal characteristics, including frequency, signal-to-noise ratio, loudness, and response timeliness, were analyzed using Fast Fourier Transform (FFT), signal-to-noise ratio analysis, and sensor analysis techniques to investigate the correlations among various acoustic indicators under differing conditions. The test data is processed through the ICC analysis method, the quadratic polynomial regression analysis method, and the technique for order preference by similarity to ideal solution (TOPSIS). The results show that the comprehensive test scenario for parking radar established in this paper can comprehensively test and verify the acoustic performance indicators of the radar, and provide a comprehensive evaluation of the parking performance of the vehicle's parking radar.