Imaging Sensor Inertial Measurement via Feature Tracking

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Solution Overview

Problem

Existing inertial navigation systems face issues with heavy weight, high cost, and energy consumption due to the use of high-performance inertial measurement units, which also reduce payload capacity and increase energy consumption in vehicles like unmanned aerial vehicles.

Innovation Solution

A method and system utilizing at least one imaging sensor to capture consecutive images, process them to identify features, and determine changes in position and orientation, eliminating the need for heavy and expensive high-performance inertial measurement units by using simple and low-cost image processing units.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If high-performance inertial measurement units are used to achieve accurate inertial measurement, then measurement precision is improved, but weight increases significantly

Engineering Contradiction:
Improveinertial measurement accuracyVSAvoidinertial measurement unit weight
Core Design Contradiction:
Measurement precisionVSWeight of moving object

Solution Approach 1:

The patent replaces the mechanical inertial measurement system (accelerometers, gyroscopes) with an optical system consisting of imaging sensors that capture images of the environment. By processing sequences of images and tracking feature points, the system determines vehicle position and orientation changes without relying on mechanical sensors, thereby eliminating the weight penalty of high-performance inertial measurement units.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If high-performance inertial measurement units are used to overcome offset errors and scale factor errors, then measurement reliability is improved, but cost increases

Engineering Contradiction:
Improveinertial measurement reliabilityVSAvoidsystem cost
Core Design Contradiction:
ReliabilityVSEase of manufacture

Solution Approach 1:

The patent uses imaging sensors to capture visual copies of the environment, which are then processed to extract position and orientation information. This visual copying approach replaces expensive inertial measurement units, achieving reliable navigation through image sequence analysis and feature tracking rather than through costly mechanical sensing hardware.

Inventive Principle:
Principle #26Copying

3Productivity

If high-performance inertial measurement units are deployed to reduce errors during vehicle operation, then productivity is improved, but energy consumption increases

Engineering Contradiction:
Improvenavigation accuracyVSAvoidenergy consumption
Core Design Contradiction:
ProductivityVSUse of energy by moving object

Solution Approach 1:

The patent employs periodic image capture at discrete time intervals rather than continuous inertial measurement. The imaging sensor captures images at specific moments, and processing occurs between captures, creating a periodic measurement cycle that reduces energy consumption compared to the continuous operation of high-performance inertial measurement units while maintaining navigation accuracy.

Inventive Principle:
Principle #19Periodic action

Data Source

PatentUS10109074B2Method and system for inertial measurement having image processing unit for determining at least one parameter associated with at least one feature in consecutive images
Publication Date: 2018.10.23 INNOVATION ASSET COLLECTIVE
  • US10109074B2 patent drawing
  • US10109074B2 patent drawing
  • US10109074B2 patent drawing

AI summary

A method and a system for inertial measurement. The method includes controlling at least one imaging sensor to capture at least two consecutive images, processing the at least two consecutive images to identify at least one feature therein and determining at least one parameter associated with the at least one feature, and determining a change in a position and an orientation of the at least one imaging sensor, based upon the at least one parameter associated with the at least one feature. The at least one parameter includes at least one of: a presence or absence of the at least one feature in at least one of the at least two consecutive images, respective pixel locations of the at least one feature in the at least two consecutive images, and/or three-dimensional locations of the at least one feature with respect to the at least one imaging sensor.