Designing an integrated driver assistance system using image sensors
Designing an integrated driver assistance system using image sensors
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DOI：
10.1007/s10845-011-0618-1
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发表时间：
2012-12-01
影响因子：
8.3
通讯作者：
Shakshuki, Elhadi M.
中科院分区：
文献类型：
--
作者：
Akhlaq, M.;Sheltami, Tarek R.;Shakshuki, Elhadi M.
道路事故给人的生命和财产造成巨大损失。大多数事故的发生是由于人为错误，如意识不好，注意力分散，困倦，训练不足和疲劳。先进的驾驶辅助系统（ADAS）可以通过关注驾驶环境并警告驾驶员即将到来的危险来减少人为错误。然而，这些系统仅用于现代豪华汽车，因为它们的高成本和复杂性，这是由于采用了几个传感器。因此，基于摄像头的ADAS因其成本低、可用性高、应用广泛以及能够与其他系统联合收割机结合而成为一种选择。针对设计基于摄像头的ADAS，我们对驾驶员进行了人种学研究，以了解驾驶环境的哪些信息对预防事故有用。事实证明，有关速度，距离，相对位置，方向以及附近物体的大小和类型的信息对于实现大多数ADAS功能都是有用的。几种基于相机的技术可用于捕获所需的信息。我们提出了一种基于摄像头的集成ADAS的新设计，该设计将五个普通CMOS图像传感器，数字图像处理器和薄显示器等技术融入智能系统中，以提供十几种先进的驾驶员辅助功能。还使用MATLAB实现了一个基本的原型。我们的设计和原型证明，所有所需的技术，现在可用于实施一个成熟的基于摄像头的ADAS。
Road accidents cause a great loss to human lives and assets. Most of the accidents occur due to human errors, such as bad awareness, distraction, drowsiness, low training, and fatigue. Advanced driver assistance system (ADAS) can reduce the human errors by keeping an eye on the driving environment and warning a driver to the upcoming danger. However, these systems come only with modern luxury cars because of their high cost and complexity due to several sensors employed. Therefore, camera-based ADAS are becoming an option due to their lower cost, higher availability, numerous applications and ability to combine with other systems. Targeting at designing a camera-based ADAS, we have conducted an ethnographic study of drivers to know what information about the driving environment would be useful in preventing accidents. It turned out that information on speed, distance, relative position, direction, and size and type of the nearby objects would be useful and enough for implementing most of the ADAS functions. Several camera-based techniques are available for capturing the required information. We propose a novel design of an integrated camera-based ADAS that puts technologies-such as five ordinary CMOS image sensors, a digital image processor, and a thin display-into a smart system to offer a dozen advanced driver assistance functions. A basic prototype is also implemented using MATLAB. Our design and the prototype testify that all the required technologies are now available for implementing a full-fledged camera-based ADAS.