Auxiliary control method for electric stair-climbing stretcher vehicle based on computer vision

Abstract

The invention relates to an auxiliary control method for an electric stair-climbing wheel stretcher based on computer vision, and the method comprises the steps: constructing a network model which comprises a first network model and a second network model; training the network model to obtain a trained network model; inputting a shaking feature vector, obtained in real time, of the stretcher into the trained network model, and outputting a first feature vector; calculating the Euclidean distance between the first feature vector and each feature vector in the target vector set, determining the feature vector with the minimum Euclidean distance with the first feature vector, serving the feature vector as a target motion feature vector, adjusting motion parameters of the stretcher, and enabling the first feature vector to tend to the target motion feature vector when the first feature vector contacts the step at the next moment. According to the scheme, the movement feature vector can be adjusted to control the movement of the wheel stretcher, and stable stair climbing of the wheel stretcher is guaranteed.

Description

technical field [0001] The invention relates to the technical field of stretcher control, in particular to an auxiliary control method for an electric stair-climbing stretcher based on computer vision. Background technique [0002] Stretcher is a kind of medical device. It is used to carry patients and wounded in hospitals or the army. It is made of bamboo, wood, metal, etc., with canvas or rope stretched in the middle, which meets the needs of the disease and is convenient for patients and wounded to lie down. [0003] The traditional stretcher is inconvenient to use in climbing and obstacle-crossing environments, and it takes a lot of manpower to realize the status quo of patient transfer, which greatly reduces the convenience of using the stretcher. At the same time, for patients who have no autonomous mobility in emergency situations, it often happens that there is no elevator in the building where they live or the elevator on a higher floor cannot quickly reach the floo...

AI Technical Summary

Problems solved by technology

[0003] The traditional stretcher is inconvenient to use when climbing and crossing obstacles, and it takes a lot of manpower to realize the status quo of patient transfer, which greatly reduces the convenience of using the stretcher

At the same time, for patients who have no autonomous mobility in emergency situations, it often happens that there is no elevator in the building where they live or the elevator on a higher floor cannot quickly reach the floor where the patient is located. Back, two-person lifting, etc., the above-mentioned methods are likely to make the patient's body skew and feel uncomfortable or cause secondary injury to the patient, and the efficiency of manpower transfer of the patient during the process of going up and down the stairs is low, and it also causes a lot of physical exertion for the medical staff.

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