Dynamic three-dimensional digital scene collection and construction system of highway transportation and working method thereof

Abstract

The invention relates to the field of intelligent transportation, and provides a dynamic three-dimensional digital scene collection and construction system of highway transportation and a working method thereof. The system includes a dynamic three-dimensional environment information collection unit, a highway sensor information collection unit and an unmanned airship cluster. The dynamic three-dimensional environment information collection unit includes a virtual compound eye-based data collection system, a task distribution system and a positioning system. The highway sensor information collection unit comprises fixed-type sensors of induction coils, microwaves, videos, ultrasonic waves, infrared types and the like, and further comprises a hemispherical microphone array mounted on a low-altitude monitoring airship. According to the collection and construction system, three-dimensional scenes of key areas can be quickly constructed, the various highway sensors can be flexibly deployedand invoked, and transportation state information and environment information are fused under unified reference time and space, and are stored by data models with time and space attributes. The systemcan carry out dynamic adjustment according to data processing results and task requirements, and expand and move surveillance areas.

Description

technical field [0001] The invention relates to the field of intelligent transportation, in particular to a system for collecting and constructing a dynamic three-dimensional digital scene of road traffic and a working method thereof. Background technique [0002] In recent years, regional traffic security and management for tasks such as post-disaster rescue, large-scale event security, and target tracking have become more and more important issues. [0003] At present, many cities have established traffic management information systems, which can detect status parameters such as traffic volume, speed, and traffic density in real time, and have functions such as analyzing urban congestion status and predicting travel time, but traffic information management systems based on cities are not applicable Special mission occasions. [0004] In terms of data collection, these traffic management systems mainly use fixed sensors such as induction coils, ultrasonic waves, and video,...

AI Technical Summary

Problems solved by technology

[0004] In terms of data collection, these traffic management systems mainly use fixed sensors such as induction coils, ultrasonic waves, and video, and the update cycle of spatial geographic information data such as road sections, intersections, and buildings is long, making it difficult for the system to perform real-time dynamic adjustments, and the deployment time is long

[0005] In terms of data fusion, these systems use GIS as the representation form, and abstract urban roads into simple geometric figures such as points, lines, and planes. The sensor systems on the road are independent of each other, and the sensor data is correlated with the map as an intermediary, which lacks unity. The spatio-temporal data structure is difficult to meet the high-level fusion of traffic information, which limits the depth of decision-level data mining and the presentation and display of multi-dimensional features.

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