Development of Automotive Data Integration Architecture Platform for Vehicle Driving Environment Recognition

近年来出现了利用车载传感器识别车辆驾驶环境的安全驾驶支持系统，其目的是向驾驶员提供安全驾驶和危险警告。然而，由于系统由多种传感器组成，需要处理的传感器数据与机载复杂的应用情况，它已经成为一个困难的设计和开发的整个系统。本文针对上述问题，采用数据流处理技术，开发了基于汽车数据集成架构的软件平台Cloudia，并通过可行性研究验证了其可用性和可实现性。

Safety driving support systems to recognize vehicle driving environment with onboard sensors are appeared recently, which is to provide safe driving and danger warning to drivers. However, due to the systems composed of many kinds of sensors and need to handle sensor data with onboard complicated application situations, it has become difficult to design and develop the whole sophisticate systems. In this study, to approach the problems we have developed a software platform "Cloudia" based on the automotive data integration architecture with data stream processing technology, and verify its availability and realization through feasibility study.