Field of View Constraint Visualization Algorithm
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing visualization tools for sensor field of view do not effectively compute and display the impact of constraints on the sensor's field of view, limiting the ability to assess the sufficiency of the field of view and line-of-sight communications.
Innovation Solution
An algorithm that computes directional contours or horizons encompassing regions of space affected by field of view constraints, redefining complex constraints into simpler constituent constraints using logical AND operations, and providing procedures for evaluating sampled points and constructing new contours based on these constraints for graphical representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex FOV constraints are directly visualized, then the visualization would be inaccurate, but decomposing into simpler constituent constraints increases computational complexity
Solution Approach 1:
The patent segments complex FOV constraints into simpler constituent constraints, each producing a single closed boundary contour. This segmentation allows accurate visualization by processing manageable constraint components individually and combining their effects through logical operations, resolving the contradiction between visualization accuracy and computational complexity.
Solution Approach 2:
The patent merges multiple simpler constituent constraints using logical AND operations to produce the final FOV visualization. This combining approach maintains accuracy by systematically integrating constraint effects while avoiding the complexity of directly processing a single complex constraint, thus resolving the technical contradiction.
2Reliability
If multiple constraints are processed simultaneously, then the FOV visualization would be comprehensive, but the computational burden increases
Solution Approach 1:
The patent segments the set of multiple FOV constraints into individual constituent constraints, processing each one separately to generate its own boundary contour. This segmentation enables comprehensive coverage of all constraints while improving computational efficiency by avoiding the need to process all constraints simultaneously in a complex unified calculation.
Solution Approach 2:
The patent performs preliminary processing of each constraint individually before combining them, generating boundary contours for each constituent constraint separately. This preliminary action allows the system to prepare constraint data in manageable units, ensuring comprehensiveness while maintaining computational efficiency through staged processing rather than simultaneous computation.
3Measurement precision
If complex constraints are redefined as multiple constituent constraints, then the FOV regions with holes or multiple regions can be accurately represented, but the number of constraints and contours increases
Solution Approach 1:
The patent segments complex FOV constraints that produce multiple regions or regions with holes into multiple simpler constituent constraints. Each constituent constraint produces a single closed boundary contour, accurately representing the complex FOV geometry through systematic decomposition. This segmentation achieves precise FOV region representation while managing the quantity of constraints through structured breakdown of complex geometries.
Data Source
AI summary
A “field of view” (FOV) consists of all possible directions along which scalar valued functions satisfy selected thresholds. This combination of a scalar function and a threshold is called a FOV constraint and a method is used to compute one or more directional contours or horizons that encompass regions of space that comprise FOV. The method is independent from the nature or the number of FOV constraints. If a single constraint produces multiple regions or regions with holes, the constraint is preferably redefined as a set of several simpler constituent constraints combined using logical AND operations. Each constituent constraint produces a single closed boundary contour with constraint region inside or outside of the contour.