Life searching method and system based on multi-sensor fusion
A multi-sensor fusion and sensor technology, applied in the life search method and system field based on multi-sensor fusion, can solve the problems of large error in life search results, misjudgment of life scenes, blurred edges, etc., to improve robustness and accuracy , the effect of improving the accuracy rate
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Embodiment 1
[0061] Please also refer to Figure 1 to Figure 6 , the following describes the multi-sensor fusion-based life searching method of this embodiment.
[0062] The life search method mainly includes the following steps:
[0063] Step 101: setting up several sensor modules to acquire the sensor data sequence group collected by each sensor module at a set frequency;
[0064] Step 102: Perform neural network-based preprocessing on the sensor data sequence group to form a preliminary probability output of life detection corresponding to the sensor module;
[0065] Step 103: Each preliminary probability output is used as an input of the deep neural network, and the several preliminary probability outputs of the several sensor modules are spliced and fused through the deep neural network, and the final probability value of the existence of life is output.
[0066] Such as image 3 As shown, the method is described below taking infrared video sensors, acoustic wave sensors, and ult...
Embodiment 2
[0125] please refer again figure 2 as well as Figure 9 , this embodiment relates to a life search system based on multi-sensor fusion.
[0126] The system includes a controller 10 and several sensor modules. The plurality of sensor modules include an ultra-wideband radar sensor, an infrared video sensor, and an acoustic wave sensor.
[0127] The controller 10 includes an ultra-wideband radar sensor output probability output sequence 21 , an infrared video sensor output probability output sequence 22 and an acoustic wave sensor output probability output sequence 23 for storing data.
[0128] The controller 10 also includes several preprocessing modules based on neural networks that are set corresponding to the sensor modules, such as the first preprocessing module 31 that is set corresponding to the ultra-wideband radar sensor, and the second preprocessing module that is set corresponding to the infrared video sensor. 32, and a third preprocessing module 33 corresponding t...
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