Vehicle Photo Context Mapping for Object Recall
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Solution Overview
Problem
Vehicle occupants often forget the context of photographs taken during a drive, including the location and objects of interest, making it difficult to recall why the pictures were taken and what they depict.
Innovation Solution
A method and system that utilizes a vehicle's infotainment system to detect a pointing or gaze motion, take a photograph, process location and direction data, and generate a graphical user interface showing a geographical map with a photographing direction and object description to assist in identifying objects of interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a photograph is taken by a vehicle camera, then the photograph captures the scene, but the occupant forgets the context and objects of interest in the photograph
Solution Approach 1:
The system performs preliminary action by capturing context information (location, map data, objects of interest) at the moment the photograph is taken, before the occupant can forget. This pre-captured information is then stored and later presented to the occupant, preventing the loss of context that occurs over time.
2Loss of information
If the occupant reviews the photograph later, then the photograph can be viewed, but the occupant cannot recall why the picture was taken or what was in it
Solution Approach 1:
The system implements feedback by presenting the previously captured context information (location, map data, objects of interest) to the occupant when they review the photograph. This feedback loop restores the lost context, allowing the occupant to recall why the picture was taken and what was in it, even after significant time has passed.
3Measurement precision
If processing is done to obtain candidate objects and description information, then object identification is enhanced, but system complexity increases
Solution Approach 1:
The system uses map data as an intermediary to bridge the gap between the photograph and object identification. By comparing photograph content with pre-existing map data, the system can identify objects of interest without requiring complex real-time object recognition algorithms, thus enhancing identification accuracy while limiting complexity growth.
Data Source
AI summary
A method includes, detecting a pointing motion made by an occupant of a vehicle and causing a photograph to be taken by a camera associated with the vehicle. The method also includes processing one or more of the photograph, a time the photograph was taken, location information of the vehicle at the time the photograph was taken, a photographing direction extending from the camera at the time the photograph was taken, or map data to obtain a candidate object of interest in the photograph and description information associated with the candidate object of interest. The method further includes causing a graphical user interface to be output by a display. The graphical user interface includes a geographical map, a location icon indicating a location on the geographical map at which the photograph was taken, a graphical object representing the photographing direction, and description information associated with the candidate object of interest.