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Methods for Machine Vision Based Driver Monitoring Applications.
| 题名： | Methods for Machine Vision Based Driver Monitoring Applications. |
| 作者： | kutila, m. |
| 关键词： | distractions, driver fatigue, cameras, traffic safety, man machine interface, human factors engineering, sensors, color vision, alertness, gaze, eye movements, head, workload |
| 摘要： | An increasing number of information and driver-assistive facilities--such as PDAs, mobile phones, and navigators--are a feature of today's road vehicles. Unfortunately, they occupy a vital part of the driver's attention and may overload him or her in critical moments when the driving situation requires full concentration. The automotive industry has shown a growing interest in capturing the driver's behaviour due to the necessity of adapting the vehicle's Human-Machine Interface (HMI), for example, by scheduling the information flow or providing warning messages when the driver's level of alertness degrades. The ultimate aim is to improve traffic safety and the comfort of the driving experience. The scope of this thesis is to investigate the feasibility of techniques and methods, previously examined within the industry, for monitoring the driver's momentary distraction state and level of vigilance during a driving task. The study does not penetrate deeply into the fundamentals of the proposed methods but rather provides a multidisciplinary review by adopting new aspects and innovative approaches to state-of-art monitoring applications for adapting them to an in-vehicle environment. The hypotheses of this thesis states that detecting the level of distraction and/or fatigue of a driver can be performed by means of a set of image processing methods, enabling eye-based measurements to be fused with other safety-monitoring indicators such as lane-keeping performance or steering activity. / Availability Note: Order this product from NTIS by: phone at 1-800-553-NTIS (U.S. customers); (703)605-6000 (other countries); fax at (703)605-6900; and email at orders@ntis.gov. NTIS is located at 5285 Port Royal Road, Springfield, VA, 22161, USA. |
| 总页数： | u0720；159p |
| 报告类型： | 科技报告 |
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