详情

Improving Methods to Measure Attentiveness through Driver Monitoring

项目名称：	Improving Methods to Measure Attentiveness through Driver Monitoring
摘要：	Distracted drivers are involved in approximately 4 million vehicle accidents each year in the U.S. (Dingus et al. 2016). These crashes result in many lives lost and billions of dollars in damages. This widespread issue has resulted in the adoption of regulations in the European Union that will require all new vehicles produced by mid-2022 to be equipped with driver monitoring systems (DMS; Gibbs, 2019). Although new vehicles would be required to incorporate driver monitoring, the optimal approach for determining/identifying inattention is still up for debate.  This project leverages previous research, naturalistic databases, and input from recent literature to develop robust algorithms for assessing when drivers are inattentive to the driving task, while also investigating limitations of different approaches and sources of information. Effectively detecting distraction and inattention can enable automakers to develop countermeasures against this behavior and thereby increase safety for all road users.
状态：	Active
资金：	1602787
资助组织：	Office of the Assistant Secretary for Research and Technology
项目负责人：	Glenn, Eric Zachary
执行机构：	Virginia Tech Transportation Institute
开始时间：	20201101
预计完成日期：	20220131
主题领域：	Data and Information Technology；Highways；Safety and Human Factors