Key Sensing Systems in Autonomous Driving

Abstract

With the rapid and dynamic evolution of autonomous driving technology. The escalating demand for transportation that is not only safer but also more efficient has spurred an intense exploration of advanced sensing technologies. This article centers on the sensor system within the domain of autonomous driving. The principal methods encompass an in-depth study of various distinct sensors such as lidar, cameras, radar, and ultrasonic sensors. The research findings reveal that these sensor systems can synergistically collaborate to furnish highly precise environmental perception. Specifically, lidar offers elaborate 3D depictions, granting vehicles a comprehensive understanding of the surrounding landscape. Cameras capture essential visual cues, providing detailed information regarding road signs, traffic conditions, and the presence of pedestrians or other vehicles. Radar effectively detects the velocity and distance of objects, significantly enhancing the vehicle's capacity to anticipate potential hazards. Moreover, ultrasonic sensors play a critical role in short-range detection, ensuring safety during parking and low-speed operations. The conclusion is that the seamless cooperation and continuous refinement of these sensor systems are of utmost significance for successfully realizing autonomous driving. This not only elevates traffic safety to a higher level but also holds profound implications for enhancing efficiency and convenience on the roads.