ICT Based Public Transportation Research Team, Korea Railroad Research Institute, Uiwang 16105, Korea.
Sensors (Basel). 2020 Jan 6;20(1):324. doi: 10.3390/s20010324.
An advanced driver-assistance system (ADAS), based on lane detection technology, detects dangerous situations through various sensors and either warns the driver or takes over direct control of the vehicle. At present, cameras are commonly used for lane detection; however, their performance varies widely depending on the lighting conditions. Consequently, many studies have focused on using radar for lane detection. However, when using radar, it is difficult to distinguish between the plain road surface and painted lane markers, necessitating the use of radar reflectors for guidance. Previous studies have used long-range radars which may receive interference signals from various objects, including other vehicles, pedestrians, and buildings, thereby hampering lane detection. Therefore, we propose a lane detection method that uses an impulse radio ultra-wideband radar with high-range resolution and metal lane markers installed at regular intervals on the road. Lane detection and departure is realized upon using the periodically reflected signals as well as vehicle speed data as inputs. For verification, a field test was conducted by attaching radar to a vehicle and installing metal lane markers on the road. Experimental scenarios were established by varying the position and movement of the vehicle, and it was demonstrated that the proposed method enables lane detection based on the data measured.
基于车道检测技术的先进驾驶辅助系统 (ADAS) 通过各种传感器检测危险情况，并向驾驶员发出警告或直接接管车辆的控制。目前，摄像头常用于车道检测；然而，它们的性能因照明条件的不同而有很大差异。因此，许多研究都集中在使用雷达进行车道检测上。但是，在使用雷达时，很难区分平坦的路面和涂画的车道标记，因此需要使用雷达反射器进行引导。之前的研究使用远程雷达，这些雷达可能会收到来自各种物体的干扰信号，包括其他车辆、行人和建筑物，从而妨碍车道检测。因此，我们提出了一种使用具有高距离分辨率的脉冲无线电超宽带雷达和安装在道路上的金属车道标记的车道检测方法。通过使用周期性反射信号以及车辆速度数据作为输入来实现车道检测和偏离。为了验证，我们将雷达安装在车辆上，并在道路上安装金属车道标记，进行了现场测试。通过改变车辆的位置和运动，建立了实验场景，结果表明，该方法可以基于测量数据进行车道检测。
