Abstract
In-vehicle sensing technology has gained tremendous attention due to its ability to support major technological developments, such as connected vehicles and self-driving cars. In-vehicle sensing data are invaluable and important data sources for traffic management systems. In this paper we propose an innovative architecture of unobtrusive in-vehicle sensors and present methods and tools that are used to measure the behavior of drivers. The proposed architecture including methods and tools are used in our NIH project to monitor and identify older drivers with early dementia
Abstract (translated)
车辆感知技术因为能够支持主要技术发展而获得了极大的关注,例如连接车辆和自动驾驶汽车。车辆感知数据对于交通管理系统来说是至关重要的数据和资源。在本文中,我们提出了一种不显眼的车辆传感器创新架构,并介绍了用于测量司机行为的方法和工具。我们提出的架构包括方法和工具,在我们的NIH项目中用于监测和识别早期失智的老年司机。
URL
https://arxiv.org/abs/2301.12269
