An Exploration of Sensor-Based Target Localization for Automated Driving

Abstract

With the continuous advancement of artificial intelligence and meas-urement technology, autonomous driving technology has emerged as a significant challenge for human research. Autonomous driving, as a crucial aspect facilitating convenience in human life, demands substan-tial technological advancements. Target localization stands as a pivotal element in the perception layer of autonomous driving technology. This paper provides a detailed overview of fundamental techniques and sce-narios associated with target localization in autonomous driving. It co-vers aspects such as ultrasonic sensors, visual sensors, LIDAR, and comprehensively summarizes research and applications in autonomous driving technology. Specifically, the author emphasizes the application of sensors in reverse radar systems. Furthermore, the author provides a detailed description of the basic operations of a reverse radar through simulation and emulation using Keil and Proteus software. The author conducted extensive data collection and analysis during the simulation experiments, validating that the simulated circuit can achieve the prima-ry functions of a reverse radar. Finally, the author offers an analysis and outlook on future research in the field of autonomous driving.