The Design of Real-Time Expert Systems for Autonomous Vehicles

自动驾驶汽车实时专家系统的设计

• 批准号: 8818406
• 负责人: D. Richard Blidberg
• 金额: $ 8.88万
• 依托单位: University of New Hampshire
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-12-01 至 1990-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8818406&HistoricalAwards=false
• 关键词: Design; Real; Time; Expert; Systems

This proposal is for a research program that investigates key issues in the design of knowledge based systems for use in Autonomous Undersea Vehicle (AUV) systems. It defines an effort to understand some of the problems associated with utilizing knowledge based systems in real time systems. The purpose of this research is to implement a framework for further development of real time knowledge based systems. this framework will be realized with the development of an operating system and system architecture applicable to time constrained symbolic systems. The main product of this effort will be a new symbolic processing operating system which will be used as the foundation for current and future development in intelligent time constrained systems. The proposed research addressed the underlying issues which lead to capable real time systems. Knowledge based techniques will be advanced by first addressing the design from the vantage of operating systems and system architecture. The proposed work will take advantage of current real time operating system technology. Once the architecture a and application is chosen it will be implemented on the MSEL integrated symbolic numeric system residing on the Ironics IV 3204 32 bit CPU board for VME bus. The testing phase will include the determination and measurement of key real time system parameters as well as benchmarks. At this point there are no clear measures of performance other than simplistic cycle rate determinations. For this reason a task is included to determine useful metrics for evaluating time constrained knowledge-based systems. In the final phase of this work we will evaluate the results to determine performance limitations and propose enhancements to the system.

这项建议是一项研究计划，调查关键 知识系统设计中的问题， 自主水下航行器（AUV）系统。 它定义了一种努力 了解一些与使用 真实的时间系统中的知识系统。 的目的 这项研究是为了实施一个框架，以进一步发展 基于真实的实时知识的系统。 该框架将 随着操作系统和系统的发展而实现 适用于时间受限的符号系统的体系结构。 这一努力的主要成果将是一种新的符号处理 操作系统，将用作当前和 智能时间约束系统的未来发展。 拟议的研究解决了导致 有能力的真实的时间系统。 基于知识的技术将是 首先从设计的Vantage出发， 操作系统和系统架构。 拟议工作 将利用当前的真实的时间操作系统 技术.一旦选择了架构和应用程序， 在MSEL集成符号数字系统上实现， Ironics IV 3204 32位CPU板，用于VME总线。 测试阶段将包括确定和测量 关键的真实的时间系统参数以及基准。 在 此时，除了以下之外，没有明确的绩效衡量标准 简单的循环速率确定。因此，一个任务 以确定用于评估时间的有用指标 基于知识的系统。 在最后阶段， 我们将评估结果以确定性能 限制，并对系统提出改进建议。