객체 검출 성능과 TTC에 대한 악천후 조건의 영향에 대한 연구

Abstract

Over the past few years, there has been significant attention given to the development of level four and level five autonomous vehicles. These vehicles rely heavily on object detection technology for their stable maneuvering. The detection of objects using various sensors, such as LiDAR, radar, and cameras, must be accurate and rapid to ensure safe driving. However, detecting objects in adverse weather conditions such as stormy, snowy, or foggy conditions can pose a significant challenge, and it can reduce the time to collision TTC), which can lead to dangerous driving. Therefore, it is crucial to address this challenge to ensure the safe deployment of autonomous vehicles.