Path planning method for fuzzy operation of machine vision data

Abstract

The invention discloses a path planning method for fuzzy operation of machine vision data, and relates to the field of robot rescue. Comprising the following steps: processing an actually acquired image by an acquisition lens, identifying an object according to the image, performing budgeting on the appearance shape and the material of the object, calculating the dangerousness of different objects aiming at a fire high-temperature complex environment, and pre-estimating the dangerousness influence range. The appearance shape information of the object is collected according to the image, the appearance of the object can intuitively reflect the structural changes of the object, such as bending, inclining and breaking conditions, the dangerous influence range and the danger occurrence possibility are judged, avoidance is conducted through reverse movement, and the probability of danger occurrence is reduced; at the moment, after the dumping direction is judged, the object in the dumping direction is evaluated, so that when the robot is used for rescuing in a high-risk area, the robot can be effectively prevented from being damaged, economic losses are reduced, and the situation that the rescue speed is delayed due to damage of the robot is avoided.

Description

technical field [0001] The invention relates to the technical field of robot rescue, in particular to a path planning method for fuzzy calculation of machine vision data. Background technique [0002] For fire rescue, in order to ensure the safety of rescuers, robots will be used to collect information in dangerous areas or perform some dangerous actions. Since they are located inside the fire site, the internal buildings and various objects beside the road will be affected by high temperature. , so that its own structure changes, resulting in instability. Due to the high probability of accidents in the dangerous area, when the robot is working in the dangerous area, the danger cannot be assessed, resulting in the robot working in the dangerous area or moving towards the dangerous area. On the way of driving in the area, the path will be blocked due to the influence of sudden obstacles, and the robot may even be crushed by sudden explosions and dumping, causing economic loss...

AI Technical Summary

Problems solved by technology

[0002] For fire rescue, in order to ensure the safety of rescuers, robots will be used to collect information in dangerous areas or perform some dangerous actions. Since they are located inside the fire site, the internal buildings and various objects beside the road will be affected by high temperature. , so that its own structure changes, resulting in instability. Due to the high probability of accidents in the dangerous area, when the robot is working in the dangerous area, the danger cannot be assessed, resulting in the robot working in the dangerous area or moving towards the dangerous area. On the way of driving in the area, the path is blocked due to the impact of sudden obstacles, and the robot may even be crushed by sudden explosions and dumping, causing economic losses

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