Off-Road Navigation Vector Function Directional Cost Optimization
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Solution Overview
Problem
Current navigation systems primarily focus on distance and fixed roads, neglecting factors such as terrain, user capabilities, and directional considerations when determining routes, which limits their effectiveness in off-road or unconventional navigation scenarios.
Innovation Solution
A method and apparatus that utilize a vector function to determine paths based on directional costs, incorporating user-specific data, terrain information, and equipment capabilities to provide customized off-road navigation, optimizing routes through dynamic route calculations and multi-cost masking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional navigation systems use only distance and fixed roads for route determination, then the system complexity is low and ease of operation is high, but the adaptability to off-road or unconventional environments is poor
Solution Approach 1:
The patent changes the parameters used for route determination from traditional distance-based metrics to a cost function that incorporates directional entry costs, terrain characteristics, and user capabilities. This allows the system to adapt to off-road environments while maintaining manageable complexity through structured parameter integration.
Solution Approach 2:
The cost function is segmented into multiple components including directional entry costs, terrain costs, and user capability weights. This segmentation allows complex adaptability requirements to be broken down into manageable factors, each contributing to the overall route determination while keeping the system architecture organized and maintainable.
2Reliability
If navigation systems consider multiple factors such as terrain and user capabilities, then the route optimization improves, but the computational complexity increases
Solution Approach 1:
The system performs preliminary calculations of cost functions and route alternatives before final route selection. By pre-computing cost metrics for different terrain types and directional entries, the system reduces computational complexity during real-time navigation while maintaining high route optimization reliability.
Solution Approach 2:
The route determination system incorporates feedback mechanisms that adjust cost weights and parameters based on user capabilities and actual navigation conditions. This feedback loop allows the system to optimize routes reliably while managing computational complexity by adapting to known user characteristics rather than recalculating everything from scratch.
3Measurement precision
If the system uses directional cost information, then the navigation accuracy for off-road paths improves, but the data requirements and processing complexity increase
Solution Approach 1:
The system applies different cost characteristics to different local areas based on terrain type and directional entry requirements. By assigning specific cost weights to particular directional entries into terrain features, the system achieves high navigation accuracy for off-road paths while keeping data processing complexity manageable through localized rather than global processing.
Data Source
AI summary
An approach is provided for off-road navigation. A starting point and a destination point to assist a user in navigating are received. A path from the starting point to the destination point using a vector function that represents cost of each area along the path is determined. The cost is based on direction from where the corresponding area is entered by the user.