Spatiotemporal Volumetric Mapping for Dynamic Scene Understanding
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Solution Overview
Problem
Existing scene understanding techniques struggle to accurately account for volumetric regions and changes in physical environments over time, particularly in empty spaces, and are limited by user-controlled image scanning.
Innovation Solution
Implement methods and systems that generate and update spatiotemporal characteristic vectors to identify and characterize volumetric regions based on user activities, incorporating spatial and temporal information to assess suitability for specific tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional scene understanding techniques are used, then the system can process physical environments, but it cannot accurately account for volumetric regions and empty spaces
Solution Approach 1:
The patent transitions from traditional 2D image-based scene understanding to 3D volumetric representation. By dividing the physical environment into multiple volumetric regions (cells) in three-dimensional space, the system can accurately characterize empty spaces and volumetric properties that are invisible to traditional 2D imaging techniques, thereby improving measurement precision without requiring entirely new hardware
2Reliability
If traditional scene understanding techniques are used, then the system can analyze physical environments, but it cannot effectively account for changes over time
Solution Approach 1:
The system performs preliminary segmentation of the physical environment into multiple volumetric regions before analyzing changes. By pre-dividing the space into cells and maintaining their identifiers across time steps, the system can efficiently compare temporal changes without performing complete reanalysis, thus improving temporal reliability while reducing time loss
3Productivity
If user-controlled image scanning is used, then the system can capture physical environment data, but the scanning effectiveness is limited by user control
Solution Approach 1:
The system implements self-service by automatically capturing and processing images of the physical environment without requiring user control for scanning. The device autonomously navigates, captures images, and processes volumetric region data, thereby improving productivity while eliminating the need for user-controlled scanning operations
4Measurement precision
If comprehensive volumetric characterization is implemented, then the accuracy of scene understanding is enhanced, but the computational requirements increase
Solution Approach 1:
The patent applies segmentation by dividing the physical environment into multiple volumetric regions (cells) of varying sizes. This allows the system to characterize only the necessary portions of the environment in detail while using coarser representations for less critical areas, thereby achieving comprehensive volumetric characterization while managing computational energy consumption through selective processing
Data Source
AI summary
A method is performed at an electronic device with one or more processors and a non-transitory memory. The method includes obtaining a plurality of volumetric regions of a physical environment based on a first representation of the physical environment at a first time. Each of the plurality of volumetric regions includes a corresponding portion of the physical environment. The method includes determining a first feature property based on a query. The method includes identifying a first volumetric region of the first plurality of volumetric regions based on determining that the first volumetric region satisfies a criterion with respect to the first feature property.