Mobile Camera-Motion Mapping for Up-to-Date Floor Plans
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Solution Overview
Problem
In situations like a building fire where firefighters or rescue workers need to navigate through a smoky or unfamiliar building to rescue people, the lack of an up-to-date floor plan poses a significant challenge, as existing technologies fail to provide an efficient means to determine the layout of the space.
Innovation Solution
A process and system using a mobile sensor arrangement with a camera and motion sensor to automatically generate a floor plan by detecting key points, horizontal surface segments, and floor segments, utilizing image and motion data to create a trajectory, and employing pattern recognition to exclude human figures, thereby determining a floor plan without prior maps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If a mobile sensor arrangement with camera and motion sensor is used to automatically determine a floor plan, then the floor plan can be generated quickly and without prior maps, but the device complexity increases
Solution Approach 1:
The mobile sensor arrangement integrates multiple functions into a single portable device: the camera captures images of the spatial area, the motion sensor tracks the camera's movement trajectory, and the signal processing unit performs pattern recognition to identify key points and generate the floor plan. This multi-functional integration enables rapid floor plan generation while managing device complexity through consolidation.
Solution Approach 2:
The system performs automatic floor plan determination without requiring prior maps or manual input. The camera autonomously captures images, the motion sensor self-tracks the trajectory, and the processing unit automatically recognizes patterns and generates the floor plan, enabling the system to service itself during operation.
2Measurement precision
If pattern recognition is used to exclude human figures from key point detection, then the accuracy of floor plan determination improves, but the processing complexity increases
Solution Approach 1:
The pattern recognition process specifically extracts and excludes human figures from the image data before key point detection. By separating and removing the distracting element (human figures) from the overall image processing task, the system improves measurement precision while managing processing complexity through targeted extraction of relevant features.
Data Source
AI summary
A process and a system automatically determine a floor plan of a spatial area (Et). A mobile sensor arrangement includes a camera and a motion sensor and is moved through the spatial area (Et). The camera generates an image sequence. The motion sensor generates a motion signal. Using the motion signal, a camera trajectory (Tr) is determined that describes the actual motion path of the camera through the spatial area (Et). Those image segments in the images are determined that each show at least one person. Key points are detected in the remaining image segments. Contiguous horizontal surface segments (Zus.1, Zus.2, . . . ) are determined in the images. Using the horizontal surface segments (Zus.1, Zus.2, . . . ), contiguous floor segments (R.1, R.2) are determined. The floor plan is determined using the camera trajectory and the contiguous floor segments.