Dynamic POI Filtering for Vehicle Navigation Displays
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Solution Overview
Problem
Existing navigation systems in vehicles lack the ability to dynamically adapt and display points of interest (POIs) based on user preferences, leading to an overcrowded and irrelevant map display.
Innovation Solution
A system that loads predefined POI parameters from a user profile and correlates them with current conditions to automatically display relevant POIs along a navigation route, removing irrelevant ones based on predefined criteria such as time, location, and user behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If all POIs are displayed on the map, then the map provides comprehensive information, but the map display becomes overcrowded and irrelevant
Solution Approach 1:
The system extracts and displays only the relevant POIs from the complete set of available POIs based on user profile parameters and current conditions. This filtering process removes irrelevant POIs from the display, maintaining map clarity while preserving access to comprehensive POI data for when needed.
Solution Approach 2:
The system applies different display qualities and priorities to different POIs based on their relevance to the user's current context, preferences, and needs. Relevant POIs are prominently displayed while less relevant ones are suppressed or shown with lower priority, creating a differentiated display quality that optimizes information presentation.
2Loss of information
If the map display shows many POIs, then information completeness is improved, but user distraction and safety risks increase
Solution Approach 1:
The POI display is dynamically adjusted based on real-time conditions including user profile parameters, current location, navigation route, time of day, and user behavior patterns. This dynamic filtering ensures that only currently relevant POIs are displayed, reducing driver distraction while maintaining information completeness for relevant locations.
Solution Approach 2:
The system continuously monitors user interactions with the navigation system and adjusts POI display relevance based on this feedback. POIs that the user has already visited or shown disinterest in are automatically suppressed, while new relevant POIs are introduced, creating an adaptive display that responds to user needs and minimizes unnecessary distractions.
3Adaptability or versatility
If the system displays POIs based on user preferences, then personalization is improved, but system complexity increases
Solution Approach 1:
User preferences and POI parameters are pre-configured and stored in the user profile before navigation begins. This preliminary setup includes defining which POI types are relevant to the user and under what conditions they should be displayed. During navigation, the system simply evaluates current conditions against these pre-established parameters, reducing real-time processing complexity while maintaining high personalization.
4Measurement precision
If the system filters POIs based on multiple parameters, then display relevance is improved, but processing time increases
Solution Approach 1:
The parameter evaluation process is segmented into hierarchical stages: first evaluating basic relevance criteria (POI type, location), then progressively evaluating additional parameters (user preferences, current conditions, behavioral patterns). This segmented approach allows the system to quickly filter out clearly irrelevant POIs using simple criteria, then apply more complex parameter correlations only to potentially relevant candidates, reducing overall processing time while maintaining high relevance accuracy.
Data Source
AI summary
A system includes a processor configured to load predefined point of interest (POI) parameters, defining when a POI should be displayed and associated with the POI, from a user profile associated with a known vehicle occupant. The processor is also configured to examine an upcoming navigation route and populate a navigation route display with POIs identified by the parameters, based on the parameters associated with a given POI being met by a present set of conditions.