Autonomous Vehicle Navigation With Dynamic Geospatial Waypoints
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Solution Overview
Problem
Traditional navigation systems for autonomous vehicles struggle with adapting to dynamic real-world conditions, lack integration of real-time sensor data, and require manual reconfiguration for different locations, leading to inefficiencies and inaccuracies, especially in mission-critical applications.
Innovation Solution
A method and system that utilize a single geospatial coordinate to generate dynamic waypoints through mathematical transformations, converting Cartesian grids into geospatial coordinates, allowing for adaptable and scalable navigation paths that can be modified in real-time based on environmental feedback and mission needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional navigation systems use static pre-defined patterns, then the system structure is simple, but the adaptability to dynamic real-world conditions deteriorates
Solution Approach 1:
The patent implements dynamic waypoint generation by transforming a single reference geospatial coordinate into multiple dynamic waypoints using mathematical transformations. The system generates bounded areas and grids that adapt to real-world conditions, replacing static pre-defined patterns with dynamically computed navigation paths that respond to environmental factors and mission requirements.
Solution Approach 2:
The system changes parameters by converting Cartesian grid coordinates to geospatial coordinates through mathematical transformations. This allows the navigation system to adjust waypoints based on reference data and environmental conditions, enabling adaptability while maintaining computational efficiency through parameter transformation rather than complex reconfiguration.
2Ease of operation
If manual entry of fixed waypoints is required, then the positioning precision can be controlled, but the ease of operation deteriorates due to difficulty in precisely mapping points
Solution Approach 1:
The system performs self-service by automatically generating waypoints from a single reference geospatial coordinate input. The mathematical transformation process converts the reference coordinate into multiple precise waypoints within bounded areas, eliminating the need for manual waypoint entry while maintaining positioning precision through computational accuracy rather than user input precision.
Solution Approach 2:
The patent replaces the mechanical process of manual coordinate entry and mapping with an automated mathematical transformation system. The system uses computational algorithms to convert reference geospatial coordinates into precise navigation waypoints, substituting manual operations with automated processing that achieves both ease of operation and positioning precision.
3Productivity
If fixed grid resolutions are employed, then the navigation path is straightforward to generate, but the computational overhead increases and performance reduces
Solution Approach 1:
The system segments the navigation area into bounded areas defined by the reference geospatial coordinate and mathematical transformations. This segmentation allows the system to generate waypoints in manageable portions rather than processing entire fixed grids, reducing computational overhead while maintaining navigation path straightforwardness through structured division of the navigation space.
Solution Approach 2:
The patent changes the parameter approach by transforming fixed grid resolutions into dynamic geospatial coordinate transformations. This allows the system to generate navigation paths efficiently by computing only the necessary waypoints from the reference coordinate rather than processing entire fixed grids, reducing computational overhead while maintaining path generation straightforwardness through mathematical transformation.
4Measurement precision
If conventional GPS positioning is used simplistically, then the global coordinate mapping is provided, but the navigation accuracy deteriorates in adverse environmental conditions
Solution Approach 1:
The system incorporates feedback by using reference geospatial coordinates and mathematical transformations to generate adaptive waypoints that respond to environmental conditions. The navigation path is continuously adjusted based on the transformed coordinates and mission requirements, enabling improved accuracy in adverse conditions through feedback-driven adaptation rather than relying solely on raw GPS data.
Solution Approach 2:
The patent introduces an intermediary mathematical transformation layer between the reference geospatial coordinates and the final navigation waypoints. This intermediary transformation process enhances navigation accuracy by converting raw GPS coordinates into mission-specific waypoints that account for environmental factors, while the transformation itself acts as a mediator that maintains system manageability.
Data Source
AI summary
The present disclosure provides a method of facilitating navigation of autonomous vehicles. The method may include receiving a reference data from a user device, analyzing the reference data, determining one or more bounded areas around a reference location based on the analyzing of the reference data, generating one or more two-dimensional grids based on the determining, transforming the two or more Cartesian coordinates using one or more mathematical transformation formulas, generating two or more geospatial coordinates based on the transforming, analyzing the two or more geospatial coordinates, determining, using the processing device, a navigation path based on the analyzing of the two or more geospatial coordinates, generating a navigation data based on the determining of the navigation path and transmitting, using the communication device, the navigation data to one or more autonomous vehicles associated with one or more missions.