A multi-device hardware synchronization method

Abstract

The present invention relates to the field of sensor technology, and more specifically relates to a multi-device hardware synchronization method, including the following steps: S1: multiple data acquisition unit devices collect data and transmit it to a processing unit, and the processing unit forms a reference signal and a trigger signal at the same time ;S2: The processing unit calculates and obtains the predicted duration of data collected by multiple data acquisition units; S3: The processing unit resets multiple trigger signals and aligns them to the reference signal according to the obtained predicted duration; S4: The processing unit returns multiple trigger signals to multiple data acquisition units, respectively triggering the next action of the data acquisition units. The present invention uses multiple trigger signals to trigger the data acquisition of different data acquisition devices, calculates the data acquisition time to obtain the advance amount of the trigger signal, and aligns the trigger signal with the reference signal to avoid the situation that the data acquisition time is long or uncertain The following data is out of sync.

Description

technical field [0001] The present invention relates to the technical field of sensors, and more particularly relates to a multi-device hardware synchronization method and device. Background technique [0002] Due to the different hardware parameters of different types of data acquisition units, there are certain differences in the acquisition cycle and acquisition frequency, and there is a certain time difference in the returned data. Asynchronous data will have a great impact on the later data fusion and algorithm development. [0003] In the fields of unmanned system perception and autonomous navigation, multi-device joint monitoring, etc., a variety of sensing devices are required, but different types of data acquisition units have certain differences in acquisition cycle and acquisition frequency due to different hardware parameters. There is a certain time difference in the data sent back by the device, and the out-of-sync data will have a great impact on the later dat...

AI Technical Summary

Problems solved by technology

However, such a solution limits the hardware configuration, which makes its adaptability poor; in addition, it limits the synchronization reference signal to the inertial measurement unit, which can only output the trigger signal of the data acquisition unit fixedly according to the previous setting. For a data acquisition unit with an indeterminate duration, such as an automatic exposure camera that alternately passes through shaded areas and direct sunlight areas, different ambient brightness will cause different imaging durations of different frames of the camera, which in turn will cause a large change in the time difference of data from different sources, affecting the accuracy of the data. The description accuracy of real-world situations, which in turn affects the output accuracy of intelligent algorithms that rely on these data

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