Driver monitoring algorithm for advanced driver assistance systems
Driver monitoring algorithm for advanced driver assistance systems
复制标题
用于高级驾驶员辅助系统的驾驶员监控算法
DOI：
10.1109/telfor.2016.7818908
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
M. Milosevic
中科院分区：
文献类型：
--
作者：
A. Simić;Ognjen Kocic;M. Bjelica;M. Milosevic
先进驾驶辅助系统（ADAS）市场和应用的快速扩张导致了对各种伴随算法的高需求。在本文中，我们提出了一个驱动程序监控算法的实现。该算法的主要目标是自动评估驾驶员是否疲劳，在这种情况下，发出适当的警报。它被广泛用作休息推荐系统的标准组件。我们的方法是基于计算机视觉算法相结合的人脸检测和眼睛检测。此外，我们已经测试了我们的实现在受控环境中的真实的ADAS平台板。
Fast expansion of Advanced Driver Assistance Systems (ADAS) market and applications has resulted in a high demand for various accompanying algorithms. In this paper we present an implementation of Driver monitoring algorithm. Main goal of the algorithm is to automatically asses if driver is tired and in that case, raise a proper alert. It is widely used as a standard component of rest recommendation systems. Our approach is based on combination of computer vision algorithms for face detection and eyes detection. Additionally, we have tested our implementation in controlled environment on a real ADAS platform board.
DOI：
10.1109/tpami.2011.155
发表时间：
2012-04-01
影响因子：
23.6
作者：
Dollar, Piotr;Wojek, Christian;Perona, Pietro
通讯作者：
Perona, Pietro