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A HEAVY VEHICLE DROWSY DRIVER DETECTION AND WARNING SYSTEM: SCIENTIFIC ISSUES AND TECHNICAL CHALLENGES

机译:重型车辆昏迷驾驶员检测和警告系统:科学问题和技术挑战

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Even though loss of alertness has been detected in laboratory driving simulators with impressive accuracy, there are numerous scientific issues and technical challenges associated with developing a field-operational drowsiness detection and warning system. The key scientific issues are related to the development of fieldable detection models and warning systems. Issues include model validation, individualized versus generalized monitoring, and detection and warning versus activity-based maintenance. The key technical challenges are related to system operability and acceptance. Challenges include system upkeep and calibration, driver and vehicle compatibility, risk compensation and migration, alertness restoration, and operational reliability. This paper provides an overview of the drowsy driver problem in the United States, a description of NHTSA's drowsy driver technology program, and an introduction to some of the scientific issues and technical challenges that confront system deployment.
机译:尽管已经在实验室驾驶模拟器中检测到了警报失误的准确性,但与开发现场操作嗜睡检测和预警系统相关的科学问题和技术挑战仍然很多。关键的科学问题与现场探测模型和预警系统的开发有关。问题包括模型验证,个性化监控与常规监控,以及检测和警告与基于活动的维护。关键的技术挑战与系统的可操作性和可接受性有关。挑战包括系统维护和校准,驾驶员和车辆的兼容性,风险补偿和迁移,警觉性恢复以及操作可靠性。本文概述了美国的困倦驾驶员问题,描述了NHTSA的困倦驾驶员技术计划,并介绍了系统部署面临的一些科学问题和技术挑战。

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