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A Heavy Vehicle Drowsy Driver Detection and Warning System: Scientific Issues and Technical Challenges
| Content Provider | Scilit |
|---|---|
| Author | Rau, Paul S. |
| Copyright Year | 2000 |
| Description | 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 chapter provides an overview of the drowsy driver problem in the United States, a description of the National Highway Traffic Safety Administration's drowsy driver technology program, and an introduction to some of the scientific issues and technical challenges that confront system deployment. Book Name: Stress, Workload, and Fatigue |
| Related Links | https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.1201/b12791-3.4&type=chapterpdf |
| Ending Page | 512 |
| Page Count | 10 |
| Starting Page | 503 |
| DOI | 10.1201/b12791-3.4 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2000-11-01 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Stress, Workload, and Fatigue Transplantation Models Warning Technical Challenges Scientific Issues Safety Drowsy Driver Alertness |
| Content Type | Text |
| Resource Type | Chapter |