Focus-Sweep Camera for Close-Range Anti-Collision

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Solution Overview

Problem

Existing moving body anti-collision systems using GPS face significant accuracy issues in determining distance between moving bodies, especially in close proximity, leading to incorrect position detection and potential collisions.

Innovation Solution

An image processing device with a camera unit and image processing unit that performs a focus-sweep operation to capture clear images of objects at varying distances, generating an object distribution view to accurately identify and display the positions of obstacles relative to the moving body, thereby preventing collisions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If GPS positioning is used to determine distance between moving bodies, then the system can provide anti-collision functionality, but the measurement precision deteriorates with errors ranging from several meters to over ten meters

Engineering Contradiction:
Improveanti-collision functionalityVSAvoiddistance measurement accuracy
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The patent combines GPS positioning with image processing technology to create a hybrid system. The camera captures images of surrounding objects, and image processing algorithms analyze these images to determine distances and positions of nearby objects with high precision, complementing the GPS data for comprehensive anti-collision functionality.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent introduces image processing as an intermediary measurement method. Instead of relying solely on GPS for all distance measurements, the system uses camera-based image processing as an intermediary technique to accurately measure distances of objects in close proximity, where GPS precision is insufficient.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Ease of operation

If GPS receivers are used for position detection, then the system can provide navigation information, but the measurement precision deteriorates in small areas where moving bodies are close to each other

Engineering Contradiction:
Improvenavigation information provisionVSAvoidposition detection accuracy in close proximity
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent segments the measurement space into two zones: far-field navigation (handled by GPS) and near-field precision detection (handled by image processing). This segmentation allows the system to use appropriate methods for different spatial scales, maintaining ease of navigation while achieving high precision in close proximity.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent changes the measurement parameters from GPS coordinates (global scale) to image-based spatial parameters (local scale). By transitioning from latitude/longitude data to pixel-based object detection and distance calculation, the system achieves higher precision for nearby objects while maintaining overall navigation capability.

Inventive Principle:
Principle #35Parameter changes

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

The system effectively enhances safety by providing accurate recognition of objects at close distances, enabling timely warnings and control measures to avoid collisions, improving driving safety and precision in navigation.

Implementation Method 1

a lens, a focusing unit that drives the lens to change a focusing distance of the camera unit

Methodology Applied
Scientific EffectFocusing: Focusing

Data Source

PatentEP2500890B1Image processing device, method thereof, and moving body anti-collision device
Publication Date: 2021.08.04 ENII
  • EP2500890B1 patent drawingFigure 1~2
  • EP2500890B1 patent drawingFigure 3
  • EP2500890B1 patent drawingFigure 4A

AI summary

An image processing device is disclosed that is able to accurately recognize objects at a close distance. The image processing device includes a camera unit (120), and an image processing unit (140). The camera unit includes a lens, a focusing unit that drives the lens to change a focusing distance of the camera unit, and an image pick-up unit. The focusing unit drives the lens to sequentially change the focusing distance of the camera unit to perform a focus-sweep operation, so that clear images of objects at different positions in an optical axis of the lens are sequentially formed on the image pick-up unit. The image pick-up unit sequentially picks up a plurality of images corresponding to different focusing distances in the focus-sweep operation. The image processing unit receives the plurality of images obtained by the image pick-up unit of the camera unit in the focus-sweep operation, identifies objects with clear images formed in the plurality of images, and produces an object distribution view according to the focusing distances used when picking up the plurality of image to show a position distribution of the identified objects. A moving body anti-collision device uses the object distribution view to determine whether the moving body is to collide with the identified object.