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

利用车载传感器识别车辆行驶环境的安全驾驶支持系统是近年来出现的一种为驾驶员提供安全驾驶和危险提示的系统。然而，由于系统由多种传感器组成，需要处理复杂的车载传感器数据，使得整个复杂系统的设计和开发变得困难。本研究针对上述问题，开发了一个基于数据流处理技术的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该平台的可用性和实现。

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.