Inquiry-based target localization method, device and electronic device

Abstract

The embodiment of the invention provides an inquiry-based target positioning method and device and electronic equipment, and the method comprises the steps: carrying out the sub-region division of a to-be-inquired region, and building a mapping relation coding table through employing an incomplete randomness rule based on the sub-region division; Determining a question of the inquiry, and based onthe question of the inquiry and the mapping relation encoding table, asking for a sensor; And decoding a result output by the sensor based on the question, and determining a sub-interval corresponding to a decoded code word as an area where a to-be-positioned target is located based on the mapping relation coding table. According to the embodiment of the invention, the method can better adapt tothe target positioning under the sparse sensor distribution, and effectively reduces the cost of target positioning.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of target positioning, and more specifically, relate to a query-based target positioning method, device, and electronic equipment. Background technique [0002] figure 1 It is a schematic diagram of the processing flow of the "twenty questions" model according to the prior art. The principle of the "twenty questions" model is: if the user wants to get an answer to a question, he needs to ask several questions to the sensor, and the sensor will answer them. In order to efficiently obtain the answer to the question based on the response of the sensor, the user needs to design a set of inquiry methods to make his own estimation of the answer more efficient. [0003] The above model has broad applications in sensor target location detection, such as in the detection of stoichiometric toxins, or in the location detection of mitochondria in cells. The sensor plays the role of the questioner...

AI Technical Summary

Problems solved by technology

However, the current query method needs to be based on the scene with abundant sensor resources. The target position can only be obtained by obtaining the aggregated results of multiple sensors, but not the result of the action of a single sensor. When the sensor resources are limited, the existing query methods It will be difficult to use

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