Performance Analysis of Automotive RADAR Range Systems for Improved Object Detection and Tracking

Abstract

Automotive RADAR (RAdio Detection and Ranging) systems have emerged as a key technology for enabling advanced driver assistance systems (ADAS) and autonomous driving. This paper presents a comprehensive analysis of the performance of automotive RADAR systems for object detection and tracking, with a focus on identifying key factors that impact system performance. The study includes a review of the state-of-the-art RADAR system architectures and signal processing algorithms used in automotive applications, followed by a detailed analysis of system performance under different environmental conditions. We also evaluate the impact of environmental factors such as weather conditions, terrain, and interference from other sources on RADAR system performance. Our findings demonstrate that while RADAR technology offers significant advantages over other sensing modalities, there are still significant challenges that must be addressed to achieve high levels of accuracy and reliability in object detection and tracking. We identify key areas for future research, including the development of advanced signal processing algorithms and the integration of multiple sensing modalities for improved object detection and tracking. Overall, this paper provides a valuable contribution to the field of automotive RADAR systems by presenting a comprehensive analysis of system performance under environmental conditions and identifying key areas for future research and development.