Vehicle Image Recognition With Distortion-Aware Dual-Region Processing

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Solution Overview

Problem

The complexity of in-vehicle image processing systems increases when both electronic rear view mirrors and rear side checking systems are mounted, as they require high-resolution images for accurate rear conditions and wide-angle views to avoid collisions, respectively, leading to increased processing loads and potential recognition accuracy degradation.

Innovation Solution

The system employs a configuration of camera units with different-angle-of-view lenses that capture high-resolution images at narrow angles and low-resolution images at wide angles, allowing for balanced high-definition display and wide-range surveillance using a small number of cameras, with image recognition performed on high-resolution regions before distortion correction and low-resolution regions after correction.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If multiple cameras are mounted individually for electronic rear view mirror and rear side checking systems, then high-resolution imaging and wide-angle coverage are achieved, but device complexity and processing load increase

Engineering Contradiction:
Improveimage resolutionVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

A single camera unit is designed to perform multiple functions: capturing images for electronic rear view mirror display and providing wide-angle surveillance for collision avoidance. The camera alternates between narrow-angle high-resolution mode and wide-angle monitoring mode, eliminating the need for separate camera systems while maintaining both high measurement precision and wide coverage capabilities

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent merges the electronic rear view mirror function and the rear side checking function into a single integrated camera unit. By combining these previously separate systems, the patent reduces device complexity and the number of components while preserving the essential capabilities of both functions through alternating imaging modes

Inventive Principle:
Principle #5Merging (Combining)

2Measurement precision

If distortion correction is performed on wide-angle images, then recognition accuracy is improved, but processing time increases

Engineering Contradiction:
Improverecognition accuracyVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent segments the image processing into two distinct modes: narrow-angle high-resolution mode where distortion correction is applied to improve recognition accuracy, and wide-angle monitoring mode where images are processed quickly without extensive distortion correction. This segmentation allows the system to apply computationally intensive distortion correction only when high precision is needed, rather than continuously

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies distortion correction partially - only in the narrow-angle mode when high recognition accuracy is required, rather than applying it excessively to all wide-angle images. This partial application of distortion correction maintains recognition accuracy when needed while avoiding unnecessary processing time consumption during wide-angle surveillance operations

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentEP4156125B1Image processing system, mobile object, image processing method, and storage medium
Publication Date: 2025.03.26 CANON KK
  • EP4156125B1 patent drawingFigure 1
  • EP4156125B1 patent drawingFigure 2A~2B
  • EP4156125B1 patent drawingFigure 3

AI summary

An image processing system includes: an image acquisition unit configured to acquire image data generated by an imaging device that captures an optical image having a low-distortion region and a high-distortion region; a first image recognition unit configured to perform image recognition on image data of at least a partial region in the image data acquired by the image acquisition unit to output a first image recognition result; a second image recognition unit configured to perform image recognition on image data of a region wider than the partial region in the image data acquired by the image acquisition unit to output a second image recognition result; and an integration processing unit configured to output an image recognition result integrated on the basis of the first image recognition result and the second image recognition result.