Peripheral environment scanning method and system

Abstract

The invention discloses a peripheral environment scanning method and system. The method comprises the following steps: capturing peripheral environment data in multiple directions at the same time; processing the captured peripheral environment data, wherein the processing comprises splicing peripheral environment in multiple directions in real time; generating composite peripheral environment information based on the processed results. The system comprises the following components: a main frame, a plurality of data capturing modules, and a processing module. The system can capture peripheralenvironment data in multiple directions at the same time, is not limited by the detection range and the collected data, has higher efficiency and can ensure scanning precision; when processing the captured peripheral environment data, the peripheral environment data at multiple directions can be spliced in time, in order to realize integration of multiple scanned data with better real-time performance. The method and the system can be widely applied to the field of environmental scanning.

Description

technical field [0001] The invention relates to the field of environment scanning, in particular to a method and a system for scanning an indoor surrounding environment. Background technique [0002] In recent years, laser technology and computer technology have developed rapidly, and environmental scanning technology has become more and more widely used in environmental recognition, navigation and positioning. Taking Google Earth and Google Street View as examples, they can provide high-precision 360-degree panoramic photos based on GPS positioning information, which greatly facilitates users' operations such as navigation and route planning, and their applications have been extended to many aspects related to spatial distribution. Such as natural environment monitoring and analysis, resource investigation and development, traffic navigation, etc. However, most of the current environmental scanning technologies are aimed at outdoor environments, and scanning solutions for ...

AI Technical Summary

Problems solved by technology

Different from the outdoor environment, the indoor environment has the characteristics of short distance, multiple corners, easy occlusion, complex lighting, and lack of absolute positioning. It is a challenging task to obtain indoor environmental information efficiently and accurately.

The currently commonly used solution is to manually scan the indoor environment by using scanning equipment, but the scanning efficiency of this manual scanning method is low (especially for indoor environment scanning in large-scale scenarios, such as in a museum of 10,000 square meters. environmental scanning) and it is difficult to guarantee the scanning accuracy

Moreover, the current manual scanning method is limited by the detection range and collected data, and cannot scan indoor environmental data in multiple directions at the same time, nor can it integrate multiple scanned data, and its real-time performance is poor.

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