Scene Sharing Navigation Assistance for Location Description Accuracy
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Solution Overview
Problem
Users face challenges in accurately describing their location to navigation assistants, leading to inefficient and inaccurate navigation guidance, as verbal descriptions can be unclear and prone to errors.
Innovation Solution
A scene sharing-based navigation assistance method where a first terminal shares its scene image screen with a second terminal, allowing the user to visually convey their location, and the second terminal provides accurate prompt information to guide the user to a target point, using mark, text, or audio information displayed on the shared screen.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users describe their location using verbal language, then the navigation assistant can receive location information, but the accuracy and clarity of the location description deteriorates
Solution Approach 1:
The patent applies the copying principle by capturing the real-world scene through a camera and creating a visual copy (image) of the location. Instead of relying on verbal descriptions, the system captures an actual image of the surroundings, which is then processed to extract location information. This visual copy preserves the exact appearance and features of the location, eliminating the information loss inherent in verbal descriptions while maintaining ease of operation through automatic image capture and processing.
2Measurement precision
If users provide detailed verbal descriptions of their location, then the accuracy of navigation guidance improves, but the time and complexity of description increases
Solution Approach 1:
The system applies the self-service principle by automatically capturing images, processing them to extract location features, and identifying the location without requiring user intervention for detailed descriptions. The camera automatically captures the scene, the system processes the image to identify key features, and the location recognition algorithm determines the position. This automated self-service approach achieves high location identification accuracy while eliminating the time users would otherwise spend providing detailed verbal descriptions.
Solution Approach 2:
The patent applies preliminary action by pre-processing the captured images to extract location information before the actual navigation assistance is needed. The system continuously captures and processes images in the background, pre-identifying location features and preparing location data. When navigation assistance is required, the pre-processed information is already available, eliminating the time delay that would occur if location description and processing had to happen in real-time during the interaction.
3Reliability
If the navigation assistant requests detailed location information, then the accuracy of guidance improves, but the complexity of the interaction increases
Solution Approach 1:
The patent applies the extraction principle by isolating and extracting only the essential location information from the captured scene image. Instead of requiring users to provide comprehensive verbal descriptions of their location, the system extracts key visual features (such as landmarks, building characteristics, or scene elements) from the image and uses only these extracted features for location identification. This reduces interaction complexity by eliminating unnecessary detailed information requests while maintaining navigation guidance reliability through focused extraction of critical location markers.
Data Source
AI summary
A scene sharing-based navigation assistance method and terminal is disclosed. A first terminal shares a scene image screen of a current scene of the first terminal with a second terminal, the first terminal receives prompt information sent by the second terminal, and the first terminal displays, on the scene image screen, the prompt information used to indicate a position of a target point. In this way, a user of the first terminal can more accurately describe, by using the scene image screen, a scene in which the user is located, so that the second terminal can more accurately determine the prompt information.