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

翻译：在车内感应技术因其支持连接车辆和自动驾驶汽车等重大 technological developments 的能力而受到广泛关注。车内传感数据是交通管理系统的宝贵和重要数据源。在本文中，我们提出了一种创新的不显眼的车内传感器架构，并提供用于测量驾驶员行为的方法和工具。我们的奈IH项目使用所提出的架构，方法和工具来监测和识别早期痴呆老年驾驶员。