In-Vehicle Navigation System Automatic Favorite Prediction via Metadata
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Solution Overview
Problem
Existing GPS navigation systems require manual input of favorite destinations, which is time-consuming and burdensome, especially when traveling to new locations such as hotels, workplaces, or airports.
Innovation Solution
The system automatically predicts and saves GPS locations and favorites by gathering metadata from objects within the vehicle using technologies like RFID tags, Bluetooth, and Wi-Fi, eliminating the need for manual input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual input of favorite destinations is used, then user control and accuracy are improved, but user effort and time consumption increase
Solution Approach 1:
The system automatically detects objects in the vehicle and retrieves their associated location information without requiring user input. The navigation system self-updates the favorite destinations list by gathering metadata from objects like RFID tags, Bluetooth devices, and Wi-Fi connected devices, thereby eliminating manual entry while maintaining accuracy through automated object recognition and data retrieval.
2Ease of operation
If automated object detection is implemented, then user effort is reduced, but device complexity increases
Solution Approach 1:
The navigation system incorporates multiple communication protocols (RFID, Bluetooth, Wi-Fi) within a single unified system that can detect various types of objects. This multi-functional approach allows the system to handle different object types through common processing logic, reducing the overall complexity that would arise from implementing separate specialized systems for each communication protocol.
Solution Approach 2:
The system uses an intermediary metadata structure to bridge between object detection and location storage. Instead of directly processing raw data from multiple communication protocols, the system retrieves and standardizes information through metadata that contains location identifiers and names, simplifying the integration of diverse object types into the favorite destinations list.
3Measurement precision
If multiple communication protocols are used for object detection, then object recognition accuracy is improved, but energy consumption increases
Solution Approach 1:
The navigation system performs object detection and metadata gathering at periodic intervals rather than continuously. The system scans for objects and retrieves metadata when triggered by specific events (such as object entry/exit detection or scheduled updates), reducing energy consumption while maintaining accurate tracking of favorite destinations through intermittent rather than continuous monitoring.
Data Source
AI summary
According to one embodiment of the present invention, a method for automatically entering favorite locations into a navigation system is provided. The method according to one embodiment includes receiving information regarding a location from an object within a vehicle using a navigation system. An identifier to the information and the information and identifier are stored in the navigation system. The user may retrieve the information from the navigation system using the identifier. The information from the objects may be received in various wireless formats, including RFID, Bluetooth and Wi-Fi.