Contextual Visual Dataspace for Real-Time Object Detection
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Solution Overview
Problem
Current systems for collision warning, automatic parking recommendations, and security monitoring are limited by the need for extensive sensor infrastructure, high installation costs, and the requirement for continuous monitoring, which restricts real-time awareness and accuracy.
Innovation Solution
The Contextual Visual Dataspace (CVD) system integrates 2D or 3D modeling with dynamic object detection using video cameras and GPS, allowing for real-time updates and warnings by representing moving objects as computer avatars within a semantically labeled environment, enabling broader awareness and reduced infrastructure needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video cameras and GPS are used for object detection, then real-time awareness and detection accuracy are improved, but device complexity and infrastructure requirements increase
Solution Approach 1:
The patent creates a virtual copy of the physical environment through 3D modeling and rendering. Instead of using complex sensor arrays to directly detect objects, the system creates a digital representation (virtual scene) that mirrors the real world, allowing objects to be tracked and analyzed in the virtual space. This copying approach simplifies the physical infrastructure while maintaining detection accuracy.
Solution Approach 2:
The patent introduces an intermediary processing layer that receives data from multiple sources (video cameras, GPS, 3D models) and synthesizes this information into a unified virtual representation. This intermediary layer coordinates the various data streams and reduces the complexity of direct integration between sensors and the final output system.
2Reliability
If extensive sensor infrastructure is deployed, then detection coverage and reliability are improved, but installation cost and complexity increase
Solution Approach 1:
The patent creates a universal virtual environment representation that can serve multiple functions simultaneously - collision warning, parking assistance, security monitoring, and navigation. This single multi-functional system replaces the need for separate specialized sensor systems for each function, reducing overall installation complexity while maintaining reliability across all applications.
Solution Approach 2:
By creating a virtual copy of the environment, the system achieves reliable detection across multiple applications without requiring separate physical sensor infrastructures for each use case. The same virtual scene representation supports diverse functions, eliminating redundant installation efforts.
3Speed
If continuous monitoring is performed, then real-time warning capability is improved, but energy consumption and processing load increase
Solution Approach 1:
The patent updates the virtual scene representation periodically rather than continuously processing all sensor data at maximum rate. The system refreshes the 3D model and object positions at optimized intervals, maintaining real-time warning capability while reducing the sustained processing load and energy consumption compared to continuous full-rate monitoring.
Solution Approach 2:
The virtual copy of the environment allows the system to maintain state information between updates, reducing the need for continuous processing. By preserving the virtual scene state and only updating changed elements, the system achieves rapid response when needed while consuming less energy during normal operation.
Data Source
AI summary
A method is disclosed. The method receives a two dimensional or a three dimensional computer generated representation of an area, receives a plurality of images of the area captured by one or more video cameras, detects a first moving object in the plurality of images, generates a computer representation of the first moving object, correlates the images of the area captured by the one or more video cameras with the two dimensional or three dimensional computer generated representation of the area, and displays the computer representation of the first moving object in the two dimensional or the three dimensional computer generated representation of the area.