3D Sensor Acuity Recovery via Auxiliary Reference Depth
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Solution Overview
Problem
Stereo imaging assemblies and three-dimensional sensors on mobile computing devices experience reduced accuracy over time due to environmental conditions and physical damage, affecting the accuracy of point cloud data generation.
Innovation Solution
A mobile computing device equipped with a three-dimensional sensor and an auxiliary sensor that captures reference depth measurements, using corrective data to maintain or restore accurate depth perception by adjusting calibrated offset distances between cameras and applying corrective processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If three-dimensional sensors are used for point cloud data generation, then the device can capture three-dimensional representations of scenes, but the accuracy deteriorates over time due to environmental conditions and physical damage
Solution Approach 1:
The system captures reference depth measurements from a known reference surface, compares these measurements against expected values, and generates corrective data to adjust the three-dimensional sensor's depth measurements. This closed-loop feedback mechanism continuously compensates for accuracy degradation caused by environmental conditions and physical damage, maintaining reliable measurement precision over time.
Solution Approach 2:
The system dynamically adjusts depth measurement parameters by applying corrective offsets derived from reference surface comparisons. These parameter changes compensate for sensor drift and degradation, allowing the three-dimensional sensor to maintain accurate depth measurements despite environmental stressors and physical damage accumulation over time.
2Measurement precision
If corrective data is generated to maintain depth perception accuracy, then measurement precision is improved, but the device complexity increases due to additional sensors and processing requirements
Solution Approach 1:
The system introduces a reference surface as an intermediary element that mediates between the three-dimensional sensor and the environment. By capturing depth measurements of this known reference surface and comparing them against expected values, the system generates corrective data without requiring complex calibration equipment or additional sophisticated sensors, thus improving measurement precision while limiting complexity growth.
Data Source
AI summary
A computing device includes: a three-dimensional (3D) sensor configured to capture point cloud data from a field of view (FOV); an auxiliary sensor configured to capture reference depth measurements corresponding to a surface within the FOV; a controller connected with the 3D sensor and the auxiliary sensor, the controller configured to: detect a reference depth capture condition; when the reference depth capture condition satisfies a quality criterion, control the auxiliary sensor to capture a reference depth corresponding to the surface within the FOV; and initiate, based on the captured reference depth, generation of corrective data for use at the 3D sensor to capture the point cloud data.