Image-Based Navigation via Speech and Photograph Search
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Solution Overview
Problem
Users often struggle to recall specific locations for navigation due to reliance on computing devices, leading to difficulties in instructing navigation systems effectively.
Innovation Solution
An image-based navigation system that utilizes machine-learning models and natural-language processing to identify locations from user-provided speech input, enabling the generation of navigation data and waypoints based on image searches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users rely on computing devices for navigation, then navigation functionality is improved, but human mental self-reliance deteriorates
Solution Approach 1:
The patent introduces an image-based search system as an intermediary between the user's memory and the navigation system. Instead of directly requiring users to recall location names or addresses, the system accepts images as input, processes them through image recognition algorithms, and translates them into navigable location data. This intermediary approach preserves user cognitive abilities while maintaining ease of navigation operation.
2Measurement precision
If users are required to recall location names or addresses, then navigation precision is improved, but user operation difficulty increases
Solution Approach 1:
The patent replaces the mechanical/cognitive process of recalling and typing location names with an optical/image-based process. Users simply capture or select images of the destination, and the system's image recognition algorithms automatically extract location information. This substitution eliminates the need for users to remember or type precise location identifiers while maintaining high location identification accuracy through advanced computer vision techniques.
3Device complexity
If traditional text-based navigation input is used, then system complexity is reduced, but adaptability to user needs deteriorates
Solution Approach 1:
The patent implements a multi-functional input system that accepts both traditional text-based navigation commands and image-based inputs. The system can process various types of user inputs including spoken commands, typed text, and images, making it adaptable to different user preferences and situations. This universal approach maintains relative system simplicity while dramatically increasing user interaction flexibility and accessibility.
Data Source
AI summary
A method includes receiving, at one or more processors of a vehicle, user speech input, the user speech input including a navigation command and a description of a photograph. The method also includes transmitting, via a local network, query data based on the user speech input to a portable computing device associated with the vehicle to initiate an image search based on the user speech input. The method further includes receiving, at the one or more processors of the vehicle from the portable computing device via the local network, location data indicating a location associated with the photograph and setting, by the one or more processors of the vehicle, a navigation waypoint based on the location data and based on the navigation command.