基于FPGA的多特征融合司机疲劳状态检测系统设计

Design of multi-feature fusion driver fatigue state detection system based on FPGA

驾驶员的疲劳驾驶是造成交通事故的重要因素,为了实时有效地检测驾驶员的驾驶状态,设计了一种融合多种疲劳特征进行疲劳状态判定的检测算法,并构建了车载的基于现场可编程门阵列(FPGA)的嵌入式检测平台。该多检测算法融合了眼睛和嘴巴的疲劳特征,当某一特征的检测受到影响时可以使用另外的特征进行疲劳状态的判定,较传统的单一特征疲劳检测算法拥有更高的检测效率。实验结果表明:系统的算法简单、可靠、实时性强。

Driving fatigue is one of the most important factors in traffic accident,in order to real-time and effectively detect driving fatigue,an algorithm fusing multiple fatigue characteristics is proposed for fatigue state judgement is designed,and build a vehicle FPGA-based embedded test platform.The multiple detection algorithm fuses,fatigue features of eyes and mouth,when a feature detection is affected,other features can be used for judgment of fatigue state.Compared with traditional single feature fatigue detection algorithm,it has higher detection efficiency.Experimental result show that the system algorithm is simple,reliability and real-time.