Non-linear Navigational Chart Position Mapping
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Solution Overview
Problem
Conventional methods are inaccurate and difficult for mapping a mobile device's position on non-linear navigational charts, as the length ratios of segments on these charts do not correspond to real geographic distances, making navigation in low visibility or at night challenging.
Innovation Solution
A system and method that receive geographic coordinates from a mobile device, identify georeferenceable points on a navigational chart, convert these coordinates to image coordinates using a geographical image scale, and map the device's position via interpolation and extrapolation, allowing accurate representation on non-linear charts by adjusting for differing segment scales.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional mapping methods are used on non-linear navigational charts, then the implementation is simple, but the mapping accuracy deteriorates because length ratios on the chart do not correspond to real geographic distances
Solution Approach 1:
The navigational chart is divided into multiple segments, each representing a different linear scale region. The system identifies which segment contains the target location and applies the corresponding scale factor for accurate distance measurement. This segmentation approach allows the system to handle non-linear charts by treating each segment as a locally linear region with its own scale properties.
Solution Approach 2:
The system dynamically changes the scale parameter based on the identified segment. By detecting the segment containing the target location, the system adjusts the scale factor to match the local geometry of that segment, enabling accurate mapping despite the overall non-linear nature of the navigational chart.
2Adaptability or versatility
If non-linear navigational charts are used to represent complex navigation paths, then the chart can accommodate varying scales, but mapping device position becomes difficult and inaccurate
Solution Approach 1:
The system performs preliminary identification of the segment containing the target location before executing the mapping operation. By pre-identifying which segment is relevant and determining its scale factor in advance, the system simplifies the subsequent mapping process and ensures accuracy without requiring complex real-time calculations.
Solution Approach 2:
The system introduces an intermediary step of segment identification and scale determination between receiving the target location and performing the mapping. This intermediary process acts as a mediator that translates the complex non-linear chart coordinates into accurate device positions by using the identified segment's scale properties.
3Area of stationary object
If the length ratios of segments on the navigational chart do not correspond to real geographic distances, then the chart can be compact, but navigation accuracy in low visibility conditions deteriorates
Solution Approach 1:
The system applies different scale qualities to different segments of the navigational chart. Each segment is treated as having its own local scale properties that correspond to real geographic distances. By applying the appropriate local scale to the relevant segment, the system ensures navigation accuracy is maintained even though different parts of the chart have different scales.
Data Source
AI summary
A system and method for mapping a mobile device position on segments that lie between waypoints on a non-linear map by converting real world geographic coordinates of a mobile device to image X, Y coordinates using an image X, Y length or scale of a respective segment as a basis for the conversion. The mobile device position may be mapped in real time and presented to a user via a mobile device. The coordinate may be mapped in real-time to a specific X, Y location on the map and may be presented to a user on a screen, stored in a database, or used in any appropriate way.