Photoelectric cooperation identification and intelligent cluster node pose measurement and identity identification method

Abstract

The invention discloses a photoelectric cooperation identification and an intelligent cluster node pose measurement and identity identification method. The photoelectric cooperation identification comprises a pose coding graph, an identity coding graph, an identification graph brightness on-line adjusting component and an identity coding on-line setting component; the identification graph brightness on-line adjusting component is a power supply voltage adjusting device capable of adjusting an output voltage on line, and the brightness of all light-emitting diodes in the photoelectric cooperation identification in a lighting state can be adjusted by adjusting the voltage of the power supply on line so as to adjust the contrast between the photoelectric cooperation identification and the background on line; the identity coding on-line setting component respectively and independently controls the state of the identity coding light-emitting diodes by adopting a switch device so as to setthe identity code of the photoelectric cooperation identification on line. According to the invention, the intelligent cluster node pose measurement and identity identification method are establishedbased on the photoelectric cooperation identification, the environmental adaptability and success rate of the pose measurement and identity identification are improved, the complexity of an image calculation program, and the like are improved.

Description

technical field [0001] The invention belongs to the field of mobile intelligent ontology, and in particular relates to a photoelectric cooperation mark and an intelligent cluster node pose measurement and identification method. Background technique [0002] With the continuous development of mobile intelligent individual and its application, the limited ability of a single intelligent individual can no longer meet the needs of completing increasingly complex application tasks, and the intelligent individual group composed of multiple intelligent individuals makes the ability and application fields of intelligent individual It has been greatly expanded, and the research on intelligent individual groups has become a research hotspot in related fields. [0003] A group of intelligent individuals composed of multiple intelligent individuals needs to cooperate closely with each other when completing a given task. In the case of measurement correction, the interrelationships amon...

AI Technical Summary

Problems solved by technology

However, this scheme has the following two problems: First, the environmental adaptability is limited; the cooperation logo provided is a reflective graphic logo, and the simple recognition algorithm will make mistakes or fail when the environmental background or lighting conditions are relatively complex , and improving the reliability of the recognition algorithm will greatly increase the complexity of the algorithm and reduce the real-time performance of the recognition algorithm; secondly, the application flexibility is not enough; the cooperation logo provided is a solidified logo, which can be fixed by pasting, printing, etc. On the top of the intelligent individual, the solidified logo and its installation and fixing methods will not facilitate the increase, decrease and replacement of intelligent individuals

In the existing non-cooperative recognition and measurement technology, when performing pose measurement and identity recognition on intelligent individuals, there are generally problems such as limited measurement accuracy and slow recognition speed, which restricts the wide application of intelligent individual groups

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