Multi-Vehicle Video Synchronization for 3D Dynamic Event Modeling
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Solution Overview
Problem
Current video-based modeling technologies struggle to create accurate 3D and 4D models of dynamic events from moving vehicles, as they require synchronized imaging from multiple viewpoints, which is challenging due to positional, pointing, and temporal synchronization issues, limiting real-time decision support in crisis situations and other applications.
Innovation Solution
A method and system that synchronize position, pointing, and time of video streams from multiple moving vehicles equipped with cameras to generate stable 3D and 4D models by creating a synchronized image base, ensuring simultaneous registration of video frames, allowing for real-time 3D reconstruction and 4D modeling of dynamic events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If video streams from multiple moving vehicles are used to generate 3D models of dynamic events, then the coverage area and visualization capability are improved, but position synchronization and temporal alignment become increasingly difficult to maintain
Solution Approach 1:
The patent introduces a central server as an intermediary that receives video streams from multiple moving vehicles, performs centralized synchronization of position and time data, and coordinates the imaging operations. This mediator manages the complex synchronization requirements across distributed mobile platforms, enabling large-area coverage while maintaining precise temporal and spatial alignment through centralized control and data fusion.
2Measurement precision
If simultaneous imaging from multiple viewpoints is implemented to capture dynamic events, then the 3D model accuracy is improved, but the system complexity and coordination requirements increase significantly
Solution Approach 1:
The patent merges the processing and coordination functions into a centralized server that handles video streams from multiple vehicles. By combining synchronization, registration, and 3D reconstruction operations in a single coordinated system, the patent manages the complexity of multi-viewpoint simultaneous imaging while maintaining high 3D model accuracy through integrated data fusion and centralized control logic.
3Productivity
If multiple moving vehicles are deployed to image dynamic events in real-time, then the decision support speed is improved, but the temporal synchronization of video frames becomes increasingly challenging
Solution Approach 1:
The patent implements preliminary synchronization by having vehicles report their position and time data to the server before imaging operations, and by pre-coordinating imaging schedules and trigger mechanisms. This preliminary action establishes temporal references and synchronization parameters in advance, enabling real-time 3D model generation with minimal temporal delays while maintaining frame alignment across multiple moving platforms.
Data Source
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AI summary
There is disclosed a method and corresponding systems for generating one or more video-based models of a target. The method comprises providing (S1) video streams from at least two moving or movable vehicles equipped with cameras for simultaneously imaging the target from different viewpoints. Position synchronization of the moving or movable vehicles is provided to create a stable image base, which represents the distance between the moving or movable vehicles. Pointing synchronization of the cameras is provided to cover the same object(s) and/or dynamic event(s). Time synchronization of the video frames of the video streams is provided to obtain, for at least one point in time, a set of simultaneously registered video frames. The method further comprises generating (S2), for said at least one point in time, at least one three-dimensional, 3D, model of the target based on the corresponding set of simultaneously registered video frames.