Perspective Map Tile Generation for Navigation Clarity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing GPS systems face challenges in providing clear and efficient map displays, especially in three-dimensional views, due to cluttered street names and points of interest, and lack of vector data in unmapped territories, which can hinder navigation.
Innovation Solution
A mapping application that generates perspective map tiles from two-dimensional data, adjusts raster and vector data for differences, and prunes street signs and points of interest based on user location and speed, allowing for bi-directional route optimization and manual path definition in areas without vector data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If three-dimensional map display is used, then navigation clarity is improved, but map clutter from street names and points of interest increases
Solution Approach 1:
The map display is segmented into multiple layers (base map layer, street names layer, points of interest layer, route layer) that can be independently controlled. This allows selective display or hiding of specific elements to reduce clutter while maintaining navigation clarity.
Solution Approach 2:
The map display dynamically adjusts the visibility and density of street names and points of interest based on user context such as current location, speed, and zoom level. As the user moves or zooms, the system automatically prunes or adds relevant map elements to optimize clarity without manual intervention.
2Measurement precision
If vector data is used for route generation, then routing accuracy is improved, but system functionality is reduced in unmapped territories
Solution Approach 1:
The system uses map tile images as an intermediary representation when vector data is unavailable. These raster map tiles provide visual reference and basic navigation capability in unmapped territories, serving as a fallback intermediary between the user and the navigation system until vector data becomes available or the user reaches a mapped area.
Solution Approach 2:
The system dynamically changes data representation parameters by switching between vector data and raster map tile data based on location. In mapped areas, it uses high-precision vector data; in unmapped areas, it transitions to raster-based navigation, adjusting the data format parameter to maintain functionality across different territorial types.
3Loss of information
If all street signs and points of interest are displayed, then information completeness is improved, but user attention is分散ed
Solution Approach 1:
The map display applies local quality by showing detailed information (street names, points of interest) only in locally relevant areas near the user's current position and route, while suppressing or hiding the same information in distant areas. This ensures information completeness for navigation while preventing attention dispersion through selective local display.
Solution Approach 2:
The system displays only the necessary subset of street signs and points of interest based on user context rather than all available data. It prunes the display to show only relevant elements within a certain distance or bearing from the user, providing partial information that is sufficient for current navigation needs without overwhelming the user.
Data Source
AI summary
A method comprises displaying a map including a plurality of streets and displaying street names for a first subset of the plurality of streets shown on the map, the street signs displayed only for the first subset of streets that are directly accessible from the user's current location and are along the user's path, wherein a second subset of streets that are not directly accessible from the user's current location, including streets behind the user's current location, do not have the street signs.