驾驶员疲劳监测技术研究现状及发展趋势

Research and Development Trends of Driver Fatigue Monitoring Technology

驾驶安全一直是当今社会最为严峻的问题之一,根据官方统计,高达94%的事故可追溯至驾驶员因素。鉴于此,对驾驶员疲劳引发的交通事故预防已成为亟待解决的首要挑战。为此,汽车制造商、零部件供应商以及学术界纷纷投入了对驾驶员疲劳监测系统的深入研究与技术创新,以期降低事故风险。本文详尽探讨了行业在驾驶员疲劳状态监测系统领域的研究进展和实际应用,着重论述了各类监测技术,如基于生物标志的面部、眼部追踪系统与基于车辆行为分析的间接方法,深入剖析其基本工作原理、优势与存在的局限性。在此基础上,提出了一种融合多源信息的疲劳监测策略,以提升疲劳识别的精度和鲁棒性。进一步,我们强调了驾驶员疲劳状态监测技术在人机共驾动态控制中的核心地位,其对于优化先进驾驶辅助系统(ADAS)的决策支持和性能提升具有深远的战略意义。它不仅直接关系到行车安全,而且引领着ADAS技术未来发展的关键导向。因此,对于推动交通安全的持续改进和智能驾驶技术的革新,此类研究具有不可忽视的理论与实践价值。

Driving safety has been one of the most pressing issues in today's society,according to official statistics,of which up to 94%can be traced back to driver factors.In view of this,the prevention of traffic accidents caused by driver fatigue has become a top challenge to be addressed urgently.As a result,automakers,parts suppliers and academia have invested heavily in research and technological innovation in driver fatigue monitoring systems to reduce the risk of accidents.This paper explores in detail the research progress and practical applications of the industry in the field of driver fatigue monitoring systems,focusing on the analysis of various monitoring technologies,such as biomarker-based facial eye tracking systems and indirect methods of vehicle behavior analysis,and an in-depth analysis of their basic working principles,advantages and limitations.Based on this,we propose a fatigue monitoring strategy that integrates multiple sources of information to improve the accuracy and robustness of fatigue detection.Furthermore,we emphasize the centrality of driver fatigue monitoring technology in the dynamic control of human-machine co-driving,and its far-reaching strategic significance for optimizing decision support and performance enhancement of Advanced Driver Assistance Systems(ADAS).It is not only directly related to road safety,but also guides the key direction of the future development of ADAS technology.Therefore,such research has a significant theoretical and practical value for promoting the continuous improvement of traffic safety and innovation in intelligent driving technologies.