Spatial Information Prediction via Iterative Coordinate Error Feedback
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Solution Overview
Problem
Existing image-based spatial perception methods rely heavily on prior physical sizes of objects and specific spatial positions, limiting their adaptability and accuracy in diverse scenarios.
Innovation Solution
A spatial information prediction method that performs real-time three-dimensional coordinate prediction on target objects in camera-captured images, transforming these coordinates into two-dimensional predictions, and iteratively updating spatial information based on detection errors to achieve high precision and adaptability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image-based ranging methods are used, then device costs are reduced compared to laser radars, but spatial perception accuracy and environmental adaptability are insufficient
Solution Approach 1:
The patent implements an iterative optimization process where the predicted spatial information is continuously refined using feedback from detected two-dimensional coordinates. The system calculates the difference between predicted and detected coordinates, then uses this error information to adjust and improve the spatial information prediction in subsequent iterations, thereby enhancing both accuracy and adaptability
Solution Approach 2:
The patent transforms spatial information between different coordinate systems (three-dimensional prediction coordinate system and two-dimensional detection coordinate system) and iteratively updates prediction parameters based on detection errors. This parameter transformation and optimization enables the system to adapt to various environmental conditions while maintaining high measurement precision
2Measurement precision
If conventional image-based ranging methods are used, then device costs are reduced, but measurement precision is insufficient due to reliance on prior physical sizes and positions
Solution Approach 1:
The system uses feedback from coordinate comparison to iteratively improve prediction accuracy. By continuously refining spatial information based on detection errors, the method achieves high precision without requiring complex hardware, thus resolving the contradiction between measurement precision and device complexity
Solution Approach 2:
The patent performs preliminary three-dimensional coordinate prediction before actual detection, establishing an initial prediction that can be iteratively refined. This preliminary action enables the system to achieve high measurement precision through iterative optimization rather than relying on complex initial measurements
Data Source
AI summary
Disclosed are a spatial information prediction method and a computer readable storage medium, and an electronic device. The method includes: obtaining to-be-updated spatial information of a target object in a current image captured by a target camera on a mobile device; determining a three-dimensional prediction coordinate of the target object in the current image based on the to-be-updated spatial information; transforming the three-dimensional prediction coordinate of the target object into an image coordinate system of the current image, to obtain a two-dimensional prediction coordinate of the target object; determining a first two-dimensional detection coordinate of the target object in the current image; determining an error between the first two-dimensional detection coordinate and the two-dimensional prediction coordinate; determining prediction spatial information of the target object in the current image based on the error and the to-be-updated spatial information. According to this disclosure, accuracy of performing spatial information prediction can be improved.