Terminal Pose Positioning Using Target Objects in Low-Feature Scenes
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Solution Overview
Problem
Existing visual positioning solutions rely on visual features that are ineffective in scenarios with poor lighting conditions or large fields of view, such as indoor museums and outdoor parks, limiting their application.
Innovation Solution
A pose determining method that prompts users to capture images of target objects when pose information is anomalous, using these objects to obtain high-precision pose information by ensuring they are within a certain distance, have clear texture features, and are not obstructed, leveraging digital maps and 3D point clouds for accurate positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If visual feature-based positioning is used, then positioning can be performed in general environments, but positioning fails in scenarios with poor lighting conditions or large fields of view (indoor museums, outdoor parks)
Solution Approach 1:
The patent introduces target objects as intermediary elements to bridge the gap between the terminal and the positioning system. When visual features in the current environment are insufficient, the system identifies target objects around the terminal location and uses them as alternative positioning references, enabling reliable positioning across diverse scenarios including poor lighting and large field of view conditions
Solution Approach 2:
The patent transitions from two-dimensional visual feature matching to three-dimensional target object-based positioning. By selecting target objects from digital maps and obtaining their 3D point cloud information, the system adds a vertical dimension to positioning, allowing accurate location determination even when traditional 2D visual features are unavailable or insufficient
2Device complexity
If visual features are used for positioning, then the system can operate without additional hardware, but positioning precision deteriorates in challenging environments
Solution Approach 1:
The patent uses target objects as intermediary references that provide stable and reliable positioning information. These target objects serve as mediators between the terminal's location and the positioning system, enabling high-precision pose determination without requiring complex hardware modifications or additional sensors on the terminal itself
Solution Approach 2:
The patent creates a virtual copy of the target object's 3D point cloud information from the digital map. Instead of requiring the terminal to directly capture and process complex 3D environmental data, the system uses pre-existing 3D point cloud copies of target objects to determine pose, maintaining simplicity while achieving high precision
3Measurement precision
If the system prompts users to photograph target objects, then high-precision pose information can be obtained, but the operation process becomes more complex
Solution Approach 1:
The patent implements a feedback mechanism where the system monitors the quality of pose information and provides prompts to users when precision is insufficient. The system automatically identifies when visual features are inadequate and guides users to photograph target objects, then processes these images to obtain high-precision pose information, creating a closed-loop feedback system that balances automation with user intervention
Solution Approach 2:
The system performs self-diagnosis to determine when visual feature-based positioning fails and automatically initiates the target object photography process. By monitoring pose information quality and triggering the appropriate workflow without continuous user input, the system reduces operational complexity while maintaining high precision
Data Source
AI summary
The technology of this application relates to a pose determining method. The method includes obtaining a first image, when first pose information determined based on the first image meets a pose anomaly condition, displaying prompt information for indicating to photograph a target object, and obtaining, by using the target object in the target image captured by a user based on the prompt, second pose information that does not meet the pose anomaly condition. When high-precision pose information cannot be determined, pose positioning is implemented by using the target object in a scenario. In addition, in a process of determining pose information of a terminal device, prompt information for indicating the user to photograph the target object is displayed, and the user is indicated to photograph the target object, thereby avoiding that the user does not know how to operate or scan an invalid target object.