Real-Time Street View Navigation via Visual Context Recognition
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Solution Overview
Problem
Navigation systems often provide directions based on distances and street names, which can be difficult for users to follow, and lack contextual information that could enhance navigation by recognizing real-world objects and locations.
Innovation Solution
A method that captures visual input streams, collects data including location and visual information, identifies items in the stream, and determines an optimal route based on contextual information to provide users with more meaningful directions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If navigation systems provide directions based on distances and street names, then the navigation function is provided, but the directions are difficult for users to follow and lack contextual information
Solution Approach 1:
The patent introduces visual recognition technology as an intermediary between the user and navigation directions. The system captures images of the real-world environment, identifies objects and locations, and uses this visual context to generate directions that reference recognizable landmarks and features rather than just abstract street names and distances. This mediator translates conventional navigation data into contextually enriched guidance.
Solution Approach 2:
The system changes the parameter of direction presentation from abstract spatial coordinates (distances and street names) to contextual visual references (recognized objects and locations). By transforming the representation parameters of navigation information, the system makes directions more intuitive and easier to follow while preserving all necessary navigational data.
2Loss of information
If navigation systems use visual input streams and item identification, then contextual information is provided, but the system complexity increases
Solution Approach 1:
The patent applies multi-functionality by using the visual recognition system for multiple purposes: identifying objects for contextual directions, locating user position, recognizing landmarks, and providing environmental context. This single visual processing subsystem serves multiple navigation functions, reducing the need for separate specialized systems and mitigating complexity increases.
Solution Approach 2:
The visual recognition system performs self-service by automatically capturing images, identifying objects and locations, and generating contextual directions without requiring manual intervention. The system autonomously processes visual data and translates it into meaningful navigation information, reducing the operational complexity for users.
Data Source
AI summary
According to one embodiment, a method, computer system, and computer program product for real-time navigation is provided. The embodiment may include capturing one or more visual input streams. The embodiment may also include collecting data, including location data and a collected visual input stream from the one or more visual input streams. The embodiment may further include identifying items from the collected visual input stream. The embodiment may also include determining an optimal route based on the collected data. The embodiment may further include providing the optimal route to a user based on a context of the identified items.