Decision-making layer data fusion method and system based on multi-source sensor, and storage medium

A data fusion, source sensor technology, applied in the field of sensor fusion, can solve problems such as the inability to meet the needs of practical applications and the inability to break through limitations, and achieve the effects of stable results, reduced missed detection rate, and reduced interference.

Active Publication Date: 2020-03-27
CHONGQING CHANGAN AUTOMOBILE CO LTD
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AI Technical Summary

Problems solved by technology

[0002] The environment faced by intelligent assisted driving is relatively complex. No matter how superior the performance of a single sensor is, it still cannot break through the limitations brought by its own measurement principle, and cannot meet the needs of practical applications in slightly complex scenarios.

Method used

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  • Decision-making layer data fusion method and system based on multi-source sensor, and storage medium
  • Decision-making layer data fusion method and system based on multi-source sensor, and storage medium
  • Decision-making layer data fusion method and system based on multi-source sensor, and storage medium

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Embodiment Construction

[0028] The present invention will be further described below in conjunction with accompanying drawing.

[0029] like figure 1 As shown, a multi-source sensor-based decision-level data fusion method includes the following steps:

[0030] Step 1: Obtain the target-level data output by the single sensor, and preprocess the single sensor data, use the historical information and prior knowledge of the target, filter the false detection target, and deal with the abnormal mutation of a certain semaphore (for example: take ARS410 radar as the For example, the absolute speed of the target output by the ARS410 radar will suddenly change to zero).

[0031] In this embodiment, the historical information includes the target's historical position, speed and tracking ID of the target.

[0032] The priori knowledge acquisition method: receiving and analyzing can frame information output by different sensors, analyzing the target-level data output by each single sensor, and finding out the d...

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Abstract

The invention discloses a decision-making layer data fusion method based on a multi-source sensor, and the method comprises the following steps: enabling the output of each sensor to be target-level data, carrying out the testing and analysis of the performances of each sensor before use, and obtaining some prior information and failure scenes of an output signal of each sensor; then, carrying outdata preprocessing on a target output by a single sensor, filtering a false detection target preliminarily, and smoothing abnormal jump data; and finally, fusing the preprocessed target-level data ofeach sensor according to priori knowledge obtained by early-stage testing, thereby obtaining stable and reliable output. According to the method, the interference of ghost introduced by false detection of a single sensor on the system is reduced, and the omission ratio of the system under specific complex working conditions can be reduced by complementary target information.

Description

technical field [0001] The invention belongs to the technical field of sensor fusion, and in particular relates to a multi-source sensor-based decision-making layer data fusion method, system and storage medium. Background technique [0002] The environment faced by intelligent assisted driving is relatively complex. No matter how superior the performance of a single sensor is, it still cannot break through the limitations brought about by its own measurement principle, and cannot meet the needs of practical applications in slightly complex scenarios. Compared with a single sensor, the multi-sensing system can obtain richer target information, a wider effective observation area, stronger robustness and reliability, and will surely become the mainstream trend of future intelligent driving development. In multi-sensing systems, multi-source sensing information fusion technology is very critical, and has always attracted the attention of researchers. [0003] According to the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/251Y02A90/10
Inventor 李梦洁王宽熊周兵丁可
Owner CHONGQING CHANGAN AUTOMOBILE CO LTD
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