Single Point Time of Flight Sensor for Interior Space Mapping
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Solution Overview
Problem
Existing methods for mapping interior spaces are costly and time-consuming due to the need for LIDAR point cloud generation and complex SLAM algorithms, which hinder real-time processing and accuracy for applications like planning and evacuation.
Innovation Solution
A system using a single point time-of-flight distance measuring device and a digital camera to measure angles and distances from a static vantage point, generating virtual planes and calculating their intersections to create a 3D model of interior spaces in real time, without requiring LIDAR or complex SLAM algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If LIDAR mapping systems with rotating lasers are used to generate high accuracy 3D models, then measurement precision is improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent extracts only the essential distance measurement function from complex LIDAR systems by using a single point time of flight distance measuring device. This eliminates the need for rotating lasers and complex scanning mechanisms while maintaining sufficient measurement precision for interior space mapping applications.
Solution Approach 2:
The patent replaces expensive, complex LIDAR equipment with simpler, more affordable distance measuring devices. The system uses a single point time of flight sensor that is significantly cheaper than rotating laser systems, making the mapping process accessible without sacrificing essential accuracy for planning and evacuation purposes.
2Measurement precision
If LIDAR systems with rotating lasers scan the environment many times per second to generate large amounts of data, then measurement precision is improved, but processing time increases
Solution Approach 1:
The patent removes the time-consuming multi-scan process by using a single point distance measuring device that captures measurements efficiently. Instead of performing multiple high-speed scans and processing large point clouds, the system takes targeted measurements at key locations and processes only the essential data needed for accurate mapping.
3Measurement precision
If markers with known positions are placed in spaces to achieve precise location, then measurement precision is improved, but ease of operation deteriorates due to time consuming marker placement
Solution Approach 1:
The patent eliminates the marker placement requirement entirely by using a single point time of flight distance measuring device that can determine positions through direct distance measurements and angle calculations. The system achieves location accuracy without requiring any physical markers to be placed in the interior space, significantly simplifying the operation.
4Measurement precision
If simultaneous localization and mapping (SLAM) processes are used to achieve accurate models, then measurement precision is improved, but device complexity increases due to complex algorithms and data fusion
Solution Approach 1:
The patent extracts only the essential distance measurement capability from complex SLAM systems. By using a single point time of flight distance measuring device with a static field of view, the system avoids the need for complex SLAM algorithms and multi-sensor data fusion while achieving sufficient mapping accuracy for interior space applications.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables rapid and accurate generation of maps and models for planning and other applications, reducing costs and processing time while maintaining sufficient accuracy for practical use.
Implementation Method 1
a single point time of flight distance measuring device (DMD) mounted to a movable stage
Data Source
AI summary
A system and method for modeling an enclosed space involves measuring ranges and angles between a static vantage point and points on surfaces enclosing the space using a single point time of flight distance measuring device. A computer coupled to the distance measuring device generate virtual surfaces and calculates where the virtual surfaces intersect to generate a geometry for a 3D model representing the surfaces enclosing the space.