In order to grasp objects safely and reliably, the information fusion should be carried out for the output data of multi-sensors.
为了保证手爪能安全、可靠地抓取工件，必须对这些传感器的数据进行融合。
Study obstacle detection problem of data fusion based on multi-sensors.
研究了基于多传感器数据融合的障碍检测问题。
Multi-sensor information fusion refers to the synergistic combination of sensory data from multiple sensors to provide more reliable and accurate information.
多传感器信息融合是指综合来自多个传感器的感知数据，以产生更可靠、更准确或更精确的信息。
A design project of a new type of intelligent conflagration alarm instrument based on multi-sensors data fusion technology is proposed.
提出一种基于多传感器信息融合技术的智能型火灾报警测控仪的设计方案。
Fire alarm system based on multi-sensor information fusion is composed of sensors, data fusion processor, concentrated controller, alarm, executing, and communication modules.
基于多传感器数据融合的火灾预警系统由传感器、数据处理融合、集中控制器、报警、执行和通信等模块组成。
The data fusion level module mainly handles the metrical data of multi-sensors and extracts the feature of faults.
数据级融合模块主要对多传感器的测量信号进行处理，提取出故障诊断的特征信息。
For data fusion algorithms of multi-sensors, the D-S rule is widely used extensively. But it can not resolve the problem of feature collision ideally.
在多传感器特征信息融合算法中，D - S理论得到了广泛应用，但该理论在处理多特征冲突问题时识别效果不十分理想。
A method of grey superior analysis based on adaptive weighted data fusion is used to process the multi-sensors data.
本文应用了一种基于自适应加权数据融合的灰色优势分析方法对多传感器数据进行处理。
The data fusion level module mainly handles the metrical data of the multi-sensors, the soft metrical data and the working condition data of the system.
数据级融模块主要处理多传感器测量数据，软测量数据和系统的干扰数据。
The validity, accuracy and actual time of the algorithm for batched-estimation, self-adaptive weighting and variance-estimation are studied in multi-sensors data fusion.
研究了有关分批估计、自适应加权和方差估计算法在多传感器数据融合中的有效性、准确度和实时性。
According to outputs of eight finger force sensors the grasping force of gripper is obtained using the multi-sensor data fusion technique based on the BP artificial neural network.
针对舱外自由移动机器人手爪，运用BP神经网络方法，对八个指力传感器的输出进行融合，得到手爪夹持力的大小。
The validity, accuracy and actual time of the algorithm for batched-estimation, self-adaptive weighting and variance-estimation are studied in multi-sensors data fusion.
本文应用了一种基于自适应加权数据融合的灰色优势分析方法对多传感器数据进行处理。
The validity, accuracy and actual time of the algorithm for batched-estimation, self-adaptive weighting and variance-estimation are studied in multi-sensors data fusion.
本文应用了一种基于自适应加权数据融合的灰色优势分析方法对多传感器数据进行处理。
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