A Portable Vision-Based Real-Time Lane Departure Warning System: Day and Night
A Portable Vision-Based Real-Time Lane Departure Warning System: Day and Night
复制标题
DOI：
10.1109/tvt.2008.2006618
复制
发表时间：
2009-05-01
影响因子：
6.8
通讯作者：
Fu, Li-Chen
中科院分区：
文献类型：
--
作者：
Hsiao, Pei-Yung;Yeh, Chun-Wei;Fu, Li-Chen
车道偏离警告系统（LDWS）是提高驾驶安全性的重要因素。在本文中，我们提出了一个嵌入式先进的RISC机器（ARM）为基础的实时LDWS。在软件开发方面，采用了一种改进的基于峰值特征提取的车道线检测算法，成功地检测出了车道线边界。然后，一个时空机制，使用检测到的车道边界的设计，以产生适当的警告信号。在硬件实现方面，采用了一维高斯平滑器和全局边缘检测器来降低图像中的噪声影响。通过在可重构的现场可编程门阵列（FPGA）模块中使用开发的数据传输通道（DTC），互补金属氧化物半导体（CMOS）成像器模块、液晶显示器（LCD）显示模块和中央处理单元（CPU）总线之间的数据传输速率为25帧/秒左右，图像尺寸为256 × 256。此外，本文提出的基于空间和时间机制的偏离预警算法在ARM平台上得到了成功的实现。我们的系统的有效性得出结论，车道检测率是99.57%，在白天和98.88%，在夜间的高速公路环境。所提出的偏离机制有效地产生有效的警告信号，并避免大多数错误的警告。
Lane departure warning systems (LDWS) are an important element in improving driving safety. In this paper, we propose an embedded Advanced RISC Machines (ARM)-based real-time LDWS. As for software development, an improved lane detection algorithm based on peak finding for feature extraction is used to successfully detect lane boundaries. Then, a spatiotemporal mechanism using the detected lane boundaries is designed to generate appropriate warning signals. As for hardware implementation, a 1-D Gaussian smoother and a global edge detector are adopted to reduce noise effects in the images. By using the developed data transfer channel (DTC) in the reconfigurable field-programmable gate array (FPGA) module, the data transfer rate among the complementary metal-oxide-semiconductor (CMOS) imager module, liquid-crystal display (LCD) display module, and central processing unit (CPU) bus is about 25 frame/s for an image size of 256 x 256. In addition, the proposed departure warning algorithm based on spatial and temporal mechanisms is successfully executed on the presented ARM-based platform. The effectiveness of our system concludes that the lane detection rate is 99.57% during the day and 98.88% at night in a highway environment. The proposed departure mechanisms effectively generate effective warning signals and avoid most false warnings.