Visual Motion Detection for GPS-Denied Drone Navigation
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Solution Overview
Problem
Unmanned vehicles, or drones, face challenges in navigating and avoiding collisions in environments without GPS signals, requiring autonomous motion detection and collision avoidance systems that can function effectively without positioning references.
Innovation Solution
A motion detection system utilizing a network of sensors and processor circuitry that implements differential equations to filter and correlate environmental changes, determining directional motion by calculating ratios of sensor outputs, allowing for accurate angular velocity detection and collision avoidance in GPS-deprived areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS positioning signals are used for navigation, then positioning accuracy is improved, but the system cannot operate in GPS-deprived environments
Solution Approach 1:
The patent introduces an intermediary system (visual motion detection and inertial sensing) that mediates between the absence of GPS signals and the need for navigation. The motion detector uses sensor arrays to detect environmental features and calculate angular velocity, serving as a bridge that enables operation in GPS-deprived areas while maintaining navigation capability
Solution Approach 2:
The patent replaces the GPS satellite-based electromagnetic positioning system with a local mechanical/optical sensing system. The motion detector uses sensor arrays to detect visual motion cues and calculates angular velocity through mechanical/optical means, substituting the external GPS infrastructure with a self-contained sensing mechanism
2Device complexity
If traditional motion detection methods are used, then the system is simple, but collision avoidance accuracy deteriorates in complex environments
Solution Approach 1:
The patent segments the motion detection function into multiple independent sensor arrays arranged in specific geometric patterns. Each sensor array detects motion in particular directions, and the results are integrated to provide comprehensive angular velocity information. This segmentation allows the system to maintain relative simplicity while achieving high accuracy through distributed sensing
Solution Approach 2:
The patent transitions from one-dimensional or two-dimensional motion detection to three-dimensional angular velocity detection by arranging sensor arrays in three-dimensional space. The multiple sensor arrays detect motion along different axes, enabling the system to calculate angular velocity in three-dimensional space and provide comprehensive collision avoidance capability
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables drones to operate autonomously and avoid collisions in environments without GPS, providing accurate motion detection and directional awareness, thus ensuring safe navigation and operation in diverse environments.
Implementation Method 1
sensors responsive to environmental changes such as, for example, changes in electromagnetic waves or sounds wave
Data Source
AI summary
Examples relate to detectors for determining motion from visual cues, said determining being invariant to changes in at least one of temporal and spatial frequencies of said visual cues.