Intelligent voice type guide blind robot control method and control system thereof
A blind-guiding robot and control method technology, applied in the direction of control/regulation system, non-electric variable control, two-dimensional position/channel control, etc., to achieve the effects of improving calculation accuracy, high recognition accuracy, and meeting the needs of life
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[0076] The object detection flow chart of the embodiment of this application is as follows Figure 5 As shown, there are 20 types of objects in this experiment, so each grid only predicts the conditional class probability Pr(Class_iObject) of 20 types of objects once, i=1,2,...,20; each grid predicts B The location of the bounding box; that is, the B bounding boxes share a set of conditional class probabilities Pr(Class_iObject), i=1,2,...,20. Based on the calculated Pr(Class_iObject), the confidence of a certain bounding box class can be calculated during testing:
[0077] The YOLO neural network training block diagram is as follows Image 6 As shown, the YOLO neural network training process is as follows:
[0078] (1) Convolve the entire image with 64 7×7 convolution kernels;
[0079] (2) Extract features through a series of 3×3 or 1×1 convolutional layers;
[0080] (3) Use two fully connected layers for classification and regression, and finally generate a 7×7×30 matrix...
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