Vehicle Location Recognition Using Reflection Area Removal

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Solution Overview

Problem

Automated valet parking systems face challenges in accurately recognizing vehicle locations due to reflections from vehicle bodies, which can deteriorate recognition accuracy and cause erroneous detection.

Innovation Solution

A vehicle location recognition system that includes a camera, a storage device with a database registering reflection possibility areas for each vehicle model and location, and a computer that calculates and updates vehicle locations by assimilating reflection areas to surrounding areas through image processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If reflected light from the vehicle body is captured by the camera, then the image contains information about the vehicle, but the recognition accuracy deteriorates and erroneous detection occurs

Engineering Contradiction:
Improvevehicle location recognition accuracyVSAvoidreflected light interference
Core Design Contradiction:
Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent extracts and removes the reflection possibility area from the captured image by identifying it through database matching and replacing it with surrounding area colors, thereby eliminating the harmful reflected light interference while preserving other useful image information for accurate vehicle location recognition

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent converts the harmful reflected light into a beneficial identification feature by using the unique color characteristics of the reflection possibility area to locate and remove it, thereby transforming the interference into a means for precise image correction and improved recognition accuracy

Inventive Principle:
Principle #22Blessing in disguise (Convert harm into benefit)

2Measurement precision

If the reflection possibility area is removed from the image, then the harmful reflected light is eliminated, but additional image processing steps are required

Engineering Contradiction:
Improverecognition accuracyVSAvoidimage processing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent performs preliminary action by pre-registering the reflection possibility areas for different vehicle models and locations in a database before actual image capture, allowing for rapid identification and removal during image processing without requiring complex real-time analysis

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent uses color copying from the surrounding area to replace the reflection possibility area, creating a corrected image that maintains visual consistency while eliminating the harmful reflection, thereby simplifying the processing compared to more complex image reconstruction methods

Inventive Principle:
Principle #26Copying

Data Source

PatentUS12614390B2Vehicle location recognition system and vehicle location recognition method
Publication Date: 2026.04.28 TOYOTA JIDOSHA KK
  • US12614390B2 patent drawing
  • US12614390B2 patent drawing
  • US12614390B2 patent drawing

AI summary

A vehicle location recognition system obtains vehicle model information of a target vehicle and a predicted location of a target vehicle in a parking space. The vehicle location recognition system also retrieves from a database a reflection possibility area on the vehicle body of the target vehicle identified by the vehicle line information and the predicted location. Furthermore, the vehicle location recognition system assimilates the reflection possibility area on the vehicle body of the target vehicle to the surrounding area surrounding the potentially reflective area in an image input from a camera. Furthermore, the vehicle location recognition system identifies the vehicle location of the target vehicle by image recognition on an image in which the reflection possibility area is assimilated into the surrounding area. Furthermore, the vehicle location recognition system updates the predicted location based on the vehicle location of the target vehicle identified by image recognition.