A target recognition method based on brain-like cross-media intelligence for unmanned autonomous system

An unmanned, cross-media technology, applied in speech recognition, character and pattern recognition, speech analysis, etc., can solve problems such as system implementation difficulties, inability to solve cross-media or cross-modal multi-modal differences, etc., to improve recognition Efficiency, improving the effectiveness of supervised learning and unsupervised learning

Active Publication Date: 2019-01-18
HENAN UNIVERSITY
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Problems solved by technology

At present, the target recognition of unmanned systems based on traditional methods, considering the complexity of the system and the difficulty of implementat

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  • A target recognition method based on brain-like cross-media intelligence for unmanned autonomous system
  • A target recognition method based on brain-like cross-media intelligence for unmanned autonomous system
  • A target recognition method based on brain-like cross-media intelligence for unmanned autonomous system

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Embodiment Construction

[0030] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the present invention Examples, not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0031] figure 1 It is a schematic flow chart of an object recognition method based on brain-inspired cross-media intelligence for unmanned autonomous systems provided by an embodiment of the present invention. Such as figure 1 As shown, the method includes the following steps:

[0032] S101. Obtain the video and audio data of the target scene collected by the unmanned autonomo...

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Abstract

The invention provides a target recognition method based on brain-like cross-media intelligence for an unmanned autonomous system. The method comprises the following steps: 1. acquiring video and audio data of a target scene collected by an unmanned autonomous system, preprocessing the video and audio data, extracting language characters from the video and audio data, adopting distributed representation of the language characters, and obtaining a word vector; 2, combining that spatio-temporal context information of the object to carry out significant calculation on the preprocessed video-audiodata and the word vector; 3, training a multimodal fusion neural network according to that significance calculation result and the spatio-temporal context information of the object, and extracting attribute semantic information of the audio-visual data and the word vector; 4, according to that spatio-temporal context information of the object, the attribute semantic information and the prior knowledge of the target knowledge map, adopting cognitive calculation and Bayesian inference to obtain the target semantic information in the target scene. The invention can effectively improve the intelligent target recognition effect of the unmanned autonomous equipment.

Description

technical field [0001] The invention relates to the technical field of unmanned autonomous intelligent control, in particular to a target recognition method based on brain-like cross-media intelligence for unmanned autonomous systems. Background technique [0002] The integration of artificial intelligence and unmanned systems forms an unmanned autonomous system (UAS). At present, the unmanned autonomous system has formed an integrated system of land, sea, air and space. In mobile scenarios, the unmanned autonomous system is an important intelligent support system for intelligent robots and unmanned autonomous equipment to analyze and identify targets. [0003] The unmanned systems of intelligent robots (such as industrial robots, service robots, space robots, marine robots, and unmanned workshops, etc.) have successively experienced the development process of automation, intelligence, autonomy, and clustering. The system intelligent perception and control of unmanned auton...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06F17/27G10L15/00G10L15/26G06N3/04
CPCG10L15/005G10L15/26G06F40/30G06V20/41G06N3/045
Inventor 刘扬周毅刘春杨伟沈亚田孟伟孔德珍
Owner HENAN UNIVERSITY
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