冷床区范围较大、结构紧凑、安装金属探测仪困难且成本较高,常用的自动化二级跟踪策略无法有效地完成对该场景下钢板的跟踪。通过利用改进的SOLO实例分割算法构建冷床区钢板检测的视觉模型,识别得到冷床区各个钢板对象的坐标位置和长宽...冷床区范围较大、结构紧凑、安装金属探测仪困难且成本较高,常用的自动化二级跟踪策略无法有效地完成对该场景下钢板的跟踪。通过利用改进的SOLO实例分割算法构建冷床区钢板检测的视觉模型,识别得到冷床区各个钢板对象的坐标位置和长宽尺寸;再结合逻辑跟踪模型形成多模型匹配跟踪策略,能够识别到行车下料、冷床卡钢等特殊情况,实现自动下料跟踪和异常预警。结果表明,改进的SOLO实例分割方法在6种不同的环境场景下平均mAP(mean average precision)提升到98.14%,平均mIoU(mean intersection over union)提升到98.72%,并且实现了29.1 fps的处理速率,满足了生产条件中对于准确率和实时性的要求。展开更多
Underwater multi-target tracking logic and decision （UMTLD） has difficulty resolving multi-target tracking problems for underwater vehicles. Present methods assume factors in UMTLD are uncorrelated, when these are a...Underwater multi-target tracking logic and decision （UMTLD） has difficulty resolving multi-target tracking problems for underwater vehicles. Present methods assume factors in UMTLD are uncorrelated, when these are actually in a complex, interdependent relationship. To provide this, an index set of multi-target tracking decision characteristics and an analytic network process （ANP） model of the UMTLD method was -established. This method brings the index set of multi-target tracking decision into the ANP model, and the optimization multitarket tracking decision is achieved via computation of the resulting supermatrix. The rationality and robustness of decision results increase in simulations by 13% and 47% respectively with analytic hierarchy process （AHP）. These results indicate that the ANP method should be the preferred method when UMTLD factors are interdependent.展开更多
This paper discusses an implementation based on CMEX S-functions to model and to check implementation feasibility of two most commonly used Maximum Power Point Tracking （MPPT） algorithms, namely Hill Climbing/Pertu...This paper discusses an implementation based on CMEX S-functions to model and to check implementation feasibility of two most commonly used Maximum Power Point Tracking （MPPT） algorithms, namely Hill Climbing/Perturb ＆ Observe （P＆O） and Incremental Conductance. This study can also be generalized to encompass the whole digital techniques family, including artificial intelligence like Neural Network and Fuzzy Logic Control.展开更多
文摘冷床区范围较大、结构紧凑、安装金属探测仪困难且成本较高,常用的自动化二级跟踪策略无法有效地完成对该场景下钢板的跟踪。通过利用改进的SOLO实例分割算法构建冷床区钢板检测的视觉模型,识别得到冷床区各个钢板对象的坐标位置和长宽尺寸;再结合逻辑跟踪模型形成多模型匹配跟踪策略,能够识别到行车下料、冷床卡钢等特殊情况,实现自动下料跟踪和异常预警。结果表明,改进的SOLO实例分割方法在6种不同的环境场景下平均mAP(mean average precision)提升到98.14%,平均mIoU(mean intersection over union)提升到98.72%,并且实现了29.1 fps的处理速率,满足了生产条件中对于准确率和实时性的要求。
基金Supported by the State Key Laboratory Foundation under Grant No.9140C2304080607the Aviation Science Foundation under Grant No.05F53027
文摘Underwater multi-target tracking logic and decision （UMTLD） has difficulty resolving multi-target tracking problems for underwater vehicles. Present methods assume factors in UMTLD are uncorrelated, when these are actually in a complex, interdependent relationship. To provide this, an index set of multi-target tracking decision characteristics and an analytic network process （ANP） model of the UMTLD method was -established. This method brings the index set of multi-target tracking decision into the ANP model, and the optimization multitarket tracking decision is achieved via computation of the resulting supermatrix. The rationality and robustness of decision results increase in simulations by 13% and 47% respectively with analytic hierarchy process （AHP）. These results indicate that the ANP method should be the preferred method when UMTLD factors are interdependent.
文摘This paper discusses an implementation based on CMEX S-functions to model and to check implementation feasibility of two most commonly used Maximum Power Point Tracking （MPPT） algorithms, namely Hill Climbing/Perturb ＆ Observe （P＆O） and Incremental Conductance. This study can also be generalized to encompass the whole digital techniques family, including artificial intelligence like Neural Network and Fuzzy Logic Control.
