为了评估和优化基于国产MIPS处理器的PC型数控系统的实时性和稳定性,结合数控系统和实时系统的特点,从事件延迟和周期抖动两个影响实时系统时间特性的关键因素出发,提出一套评估基于MIPS的PC型数控系统实时性能和稳定性能的关键指标分...为了评估和优化基于国产MIPS处理器的PC型数控系统的实时性和稳定性,结合数控系统和实时系统的特点,从事件延迟和周期抖动两个影响实时系统时间特性的关键因素出发,提出一套评估基于MIPS的PC型数控系统实时性能和稳定性能的关键指标分析方法 CNC-KDE(CNC-Key Department Evaluation),该方法包含了评估的关键指标选取、关键指标实验数据采集方法、关键指标实验数据的数理统计分析方法.最后根据关键指标分析结果对数控系统的实时性能和稳定性能进行综合的评估.文中还介绍了该方法应用于原型机数控系统的评估实验,实验结果表明CNC-KDE方法能对基于MIPS架构的PC型数控系统的实时性能和稳定性可以进行准确有效的分析和评估.展开更多
A technology for unintended lane departure warning was proposed. As crucial information, lane boundaries were detected based on principal component analysis of grayscale distribution in search bars of given number and...A technology for unintended lane departure warning was proposed. As crucial information, lane boundaries were detected based on principal component analysis of grayscale distribution in search bars of given number and then each search bar was tracked using Kalman filter between frames. The lane detection performance was evaluated and demonstrated in ways of receiver operating characteristic, dice similarity coefficient and real-time performance. For lane departure detection, a lane departure risk evaluation model based on lasting time and frequency was effectively executed on the ARM-based platform. Experimental results indicate that the algorithm generates satisfactory lane detection results under different traffic and lighting conditions, and the proposed warning mechanism sends effective warning signals, avoiding most false warning.展开更多
文摘为了评估和优化基于国产MIPS处理器的PC型数控系统的实时性和稳定性,结合数控系统和实时系统的特点,从事件延迟和周期抖动两个影响实时系统时间特性的关键因素出发,提出一套评估基于MIPS的PC型数控系统实时性能和稳定性能的关键指标分析方法 CNC-KDE(CNC-Key Department Evaluation),该方法包含了评估的关键指标选取、关键指标实验数据采集方法、关键指标实验数据的数理统计分析方法.最后根据关键指标分析结果对数控系统的实时性能和稳定性能进行综合的评估.文中还介绍了该方法应用于原型机数控系统的评估实验,实验结果表明CNC-KDE方法能对基于MIPS架构的PC型数控系统的实时性能和稳定性可以进行准确有效的分析和评估.
基金Project(51175159)supported by the National Natural Science Foundation of ChinaProject(2013WK3024)supported by the Science andTechnology Planning Program of Hunan Province,ChinaProject(CX2013B146)supported by the Hunan Provincial InnovationFoundation for Postgraduate,China
文摘A technology for unintended lane departure warning was proposed. As crucial information, lane boundaries were detected based on principal component analysis of grayscale distribution in search bars of given number and then each search bar was tracked using Kalman filter between frames. The lane detection performance was evaluated and demonstrated in ways of receiver operating characteristic, dice similarity coefficient and real-time performance. For lane departure detection, a lane departure risk evaluation model based on lasting time and frequency was effectively executed on the ARM-based platform. Experimental results indicate that the algorithm generates satisfactory lane detection results under different traffic and lighting conditions, and the proposed warning mechanism sends effective warning signals, avoiding most false warning.
