Self-tracking system based on accelerometer gyro sensor and infrared sensing

Abstract

The purpose of the invention is to provide a self-tracking system based on an accelerometer gyro sensor and infrared sensing. An infrared sensing module detects distance in different directions to provide data basis for a control device; an accelerometer gyro sensor module detects movement direction and angle data to provide data to a control module and makes other vehicles synchronize direction data and angle data; the two sets of data are transmitted to the control module; and the control module processes the data and establishes a virtual model to control and detect the operation of an execution module, and synchronizes the data sharing, so as to provide other vehicles preliminary works with less data of data pre-collection and pre-setting links; therefore, the self-tracking can be completed; the data of all vehicles is shared, which provides the basis for the operation of subsequent vehicles; the direction data and angle data of other vehicles are unified; and the round-the-clock operation of equipment is realized.

Description

technical field [0001] The invention relates to the field of self-tracking of vehicles, in particular to a self-tracking system based on accelerometer, gyroscope sensor and infrared sensing. Background technique [0002] At present, the positioning source usually uses GPS, but in special scenarios such as when there is no GPS signal or the GPS signal is weak, it cannot be accurately positioned. The robot automatic transport truck in the vehicle needs to install a preset positioning signal source or navigation line in advance before driving according to the preset path. When changing the path, it is necessary to reset the signal source and navigation line, which is labor-intensive, time-consuming and costly. The automatic driving of the vehicle mainly relies on the combination of wireless radar, video camera, GPS, infrared sensor, etc. to realize navigation. Due to the influence of weather and environment, it cannot be applied in all-weather weather conditions. Contents of ...

AI Technical Summary

Problems solved by technology

[0002] At present, the positioning source usually uses GPS, but in special scenarios such as when there is no GPS signal or the GPS signal is weak, it cannot be accurately positioned

The robot automatic transport truck in the vehicle needs to install the preset positioning signal source or navigation line in advance before driving according to the preset path. When changing the path, it is necessary to reset the signal source and navigation line, which is labor-intensive, time-consuming and costly.

The automatic driving of the vehicle mainly relies on the combination of wireless radar, video camera, GPS, infrared sensor, etc. to realize navigation, and it cannot be applied in all-weather weather conditions due to the influence of weather and environment

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