Feasible area identification method, device, equipment and computer-readable storage medium

Abstract

The present application provides a method for identifying a feasible area, including: identifying at least one environment type of the surrounding environment where the target user is located, and for each environment type, analyzing the environment complexity of the surrounding environment under this environment type, according to each The complexity of the environment corresponding to the environment type identifies the travelable area for the target user. This application can automatically identify various environmental types of the surrounding environment in real time, and accurately evaluate the complexity of each environmental type, so that the visually impaired can better grasp the surrounding environment and risks, and make decisions when necessary evasive action, resulting in higher security, enhanced usability, and improved user experience.

Description

Technical field [0001] The present application relates to the field of detection, and in particular, to a feasible region identification method, apparatus, device, and computer readable storage medium. Background technique [0002] For people with visual dysfunction, they often encounter a wide variety of inconvenience. In many environments, especially in public places, it often affects the quality of life. For a long time, domestic and foreign merchants have provided various types of ways to facilitate equipment and equipment for visual dysfunction, but they can only provide a certain degree of assistance by model analysis capabilities and hardware speed performance. In recent years, with the development of miniaturized wearable electronic equipment, the rapid development of image processing and analysis algorithms, the live-action equipment for visual dysfunction is continuously emerged, providing better products and services. [0003] Taking an existing product as an example, ...

AI Technical Summary

Problems solved by technology

[0004] However, the feasible area analysis methods adopted by existing products (such as walking aid glasses and automatic driving systems) mainly rely on multi-sensors and high-cost, high-investment and unstable network information solutions, although these products are not suitable for some complex environments. Has a certain ability to adapt, but often cannot cope well with various complex surrounding environments, resulting in poor user experience

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