Abstract
Recently, as one of the intelligent transportation systems, radar systems that monitor traffic on the road have received attention. To ensure the reliable detection performance of the traffic monitoring radar, it is necessary to distinguish stationary road structures from moving vehicles. Therefore, in this paper, we propose a method for discriminating stationary targets in traffic monitoring radar systems. First, we install a frequency-modulated continuous wave radar system using a center frequency of 24.15 GHz on an overpass to monitor multiple lanes on the road. Then, we process the raw data obtained by the radar sensor to extract target information such as the distance, angle, velocity, and radar cross-section. Finally, we analyze the target characteristics in the angle-velocity domain to classify stationary targets and moving vehicles. In this domain, stationary targets appear as points lying around a straight line, and if we estimate that line, we can extract the stationary targets among all targets. To find the trend line, we use a random sample consensus-based estimation method, which can extract a dominant line component from a set of sample points. Through the proposed method, we can effectively remove the stationary targets in the field of view of the radar system.
Highlights
To realize autonomous driving, an autonomous vehicle must be equipped with automotive sensors such as cameras, LiDARs, and radars
We proposed a method for discriminating stationary targets in the traffic monitoring radar system
The signal processing algorithm that automatically identifies stationary road structures is a function that must be implemented in the traffic monitoring radar system
Summary
An autonomous vehicle must be equipped with automotive sensors such as cameras, LiDARs, and radars. The development of autonomous driving technology has been accelerating due to advances in sensors for vehicles. The development of automotive sensors, and the construction of intelligent road infrastructure is necessary. One of the essential factors for building an intelligent transportation system (ITS) is to monitor the volume and flow of vehicles on the road, which is known as traffic management. If the road traffic information can be measured and delivered to each driver on the road, more efficient road management will be possible. By analyzing traffic conditions in real time, it is possible to manage road traffic efficiently and implement optimal signaling systems In addition, the ITS can help drivers choose efficient routes and shorten the time to reach their destination
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
