Wearable Scanner Frame Layout for Accurate Indoor 3D-SLAM
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Solution Overview
Problem
Existing mobile detection systems for capturing indoor spaces face challenges in achieving real-time, accurate position determination and efficient data registration due to limitations in satellite navigation, drift in inertial navigation, and computational complexity of SLAM methods, especially in complex building environments.
Innovation Solution
A frame and spatial detection device with a shoulder rest and hip contact point, supporting a scanning device, allowing for stable, ergonomic carrying and real-time 3D-SLAM with six degrees of freedom, using a multiple scanner and cameras for comprehensive, uninterrupted data capture and real-time visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If satellite navigation is used for position determination, then position accuracy is improved, but it cannot be used inside buildings due to lack of signal link
Solution Approach 1:
The patent introduces an intermediary system (visual odometry using cameras and feature tracking) that mediates between the unavailable satellite navigation and the need for position determination indoors. The camera system captures visual features and tracks their movement to calculate position, serving as a bridge when satellite signals are absent.
Solution Approach 2:
The patent replaces the satellite-based electromagnetic navigation system with a visual-mechanical odometry system using cameras and image processing. This substitution enables position determination through visual feature tracking rather than relying on satellite signals that cannot penetrate buildings.
2Adaptability or versatility
If inertial navigation is used for position determination, then position determination is available indoors, but long-term drift occurs
Solution Approach 1:
The patent implements feedback by continuously comparing visual features detected by cameras with the expected positions based on inertial navigation data. This feedback loop allows for correction of drift accumulation, maintaining position accuracy over long periods by constantly referencing visual landmarks.
Solution Approach 2:
The patent merges inertial navigation with visual odometry in a hybrid system. The inertial measurement unit provides continuous position updates while the camera system provides periodic correction references, combining the advantages of both systems to eliminate their respective weaknesses.
3Measurement precision
If SLAM methods are used for position determination and data registration, then comprehensive spatial mapping is achieved, but computational complexity increases
Solution Approach 1:
The patent extracts and processes only the essential visual features from the camera images for SLAM operations, rather than processing complete images. By identifying and tracking key landmarks and features, the computational load is significantly reduced while maintaining accurate spatial mapping capability.
Solution Approach 2:
The patent applies partial action by focusing computational resources on processing only the necessary portions of visual data (key features and landmarks) rather than analyzing entire images. This selective processing achieves sufficient spatial accuracy with reduced computational complexity.
4Measurement precision
If multiple scanning devices are used for comprehensive data capture, then coverage and accuracy are improved, but device complexity and weight increase
Solution Approach 1:
The patent arranges multiple scanning devices and cameras in specific three-dimensional spatial configurations above the carrier's head. By optimizing the vertical and horizontal positioning of sensors, the system achieves comprehensive coverage with minimal device count, reducing overall weight while maintaining accuracy.
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 efficient, stable, and accurate real-time capture of indoor spaces, including difficult terrains, with reduced computational overhead and minimal recalibration needs, facilitating seamless data integration and improved maneuverability.
Implementation Method 1
a multiple scanner which comprises a plurality of emission units integrated in one component for producing a plurality of signal beams in defined directions of emission, a receiver for detecting reflected radiation, which is produced by reflection of the signal beams on one or more objects of the object space
Data Source
AI summary
A frame for a scanning device includes a supporting device for fitting and carrying the frame by a person. The supporting device has a shoulder rest for placing the frame on the person's shoulders. The frame further includes an upper frame section, to which a first holder for the scanning device is fastened, with the first holder located above the person's head when the person is carrying the frame by means of the supporting device. The frame further has a contact part which is connected via a bracket to the shoulder rest, with the contact part located at the level of the person's hip region when the person is carrying the frame by means of the supporting device. A spatial detection device includes a scanning device and a frame.