Application and Development of Radar Sensors in Autonomous Driving Technology

This article provides a detailed examination of the principles and applications of radar technology within autonomous driving systems, with a particular focus on its integration into Advanced Driver Assistance Systems (ADAS). It highlights the essential roles of radar sensors in critical technologies including Adaptive Cruise Control (ACC), Blind Spot Monitoring (BSM), Automatic Emergency Braking (AEB), and Automated Parking Assistance (APA). The discussion extends to address the challenges and opportunities associated with improving radar resolution, the fusion of multiple sensors, the design of multi-modal radars, and the optimization of data processing platforms. These advancements are shown to substantially enhance driving safety and comfort, reduce traffic accidents, and protect lives and property. The synergistic integration of high-frequency radar, 5G communication, and multi-modal radar technologies significantly boosts the sensing capability and environmental adaptability of autonomous driving systems. The article emphasizes the pivotal role of radar technology in achieving safer and more efficient autonomous driving. Future technological advancements are expected to further expand and refine the application of radar sensors in ADAS, enhancing radar resolution, multi-modal integration, and exploring more efficient computation and data processing methods, thereby driving the comprehensive development of autonomous driving technology.