Automatic Vehicle Position Calibration via Image Analysis

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Solution Overview

Problem

Current systems for determining the precise location of vehicles violating traffic rules rely on manual calibration methods, which are time-consuming, inefficient, and lack accuracy, necessitating an automatic calibration system to provide precise location information efficiently.

Innovation Solution

An automatic calibration system comprising a position determining device, image capturing device, matching and tagging module, image analysis module, and calibration module, which analyzes pixel differences in consecutive images to determine the precise location of vehicles in violation and calibrate the position determining device accordingly.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual calibration methods are used to determine vehicle location, then the location precision can be improved, but the time consumption and operational complexity increase significantly

Engineering Contradiction:
Improvevehicle location precisionVSAvoidcalibration time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system enables automatic self-calibration by using the radar's own detection data to calibrate its position determining device. The calibration module automatically processes radar detection information to determine vehicle location without requiring manual intervention, thus achieving self-service calibration that eliminates time consumption while maintaining precision.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical calibration operations with an automated computational system. The calibration module uses algorithmic processing of radar data to substitute the manual marking and measurement process, thereby eliminating the time-consuming manual operations while preserving measurement precision.

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

2Measurement precision

If manual calibration operations are performed multiple times to increase precision, then the location accuracy improves, but the operational efficiency decreases

Engineering Contradiction:
Improvelocation accuracyVSAvoidcalibration efficiency
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The system performs automatic self-calibration using its own radar detection data, eliminating the need for repeated manual calibration operations. This self-service approach achieves high location accuracy in a single automated process, thereby maintaining productivity without sacrificing precision.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The calibration module continuously processes radar detection information in real-time to maintain accurate location data. This continuous automated calibration replaces discontinuous manual calibration operations, ensuring both high accuracy and sustained productivity without operational interruptions.

Inventive Principle:
Principle #20Continuity of useful action

3Measurement precision

If conventional calibration methods requiring multiple manual markings are used, then location precision can be enhanced, but the system complexity and operational difficulty increase

Engineering Contradiction:
Improvevehicle position precisionVSAvoidcalibration operation ease
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The system automatically calibrates itself using radar detection data without requiring user markings or manual operations. This self-service mechanism achieves precise vehicle positioning while completely eliminating the operational complexity associated with manual calibration procedures.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual marking and measurement operations with automated computational processing of radar data. This substitution eliminates the need for users to perform complex manual calibration tasks while maintaining high position precision through algorithmic analysis.

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

4Productivity

If automatic calibration is implemented to reduce manual operations, then operational efficiency and speed improve, but the system complexity increases

Engineering Contradiction:
Improvecalibration speedVSAvoidsystem structure complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The calibration module serves multiple functions: it processes radar detection data, performs position calculations, and automatically adjusts system parameters. This multi-functional design achieves fast automatic calibration without requiring separate dedicated components for each function, thereby limiting the increase in system complexity.

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

Solution Approach 2:

The patent merges the calibration functionality into the existing radar detection system rather than adding separate calibration equipment. By combining position determination and calibration functions within the same system framework, the patent achieves rapid automatic calibration while minimizing the increase in overall system complexity.

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS10854072B2System and method for automatic calibration of vehicle position determining device in a traffic system
Publication Date: 2020.12.01 EKIN AKIF
  • US10854072B2 patent drawing
  • US10854072B2 patent drawing
  • US10854072B2 patent drawing

AI summary

An automatic calibration system for a traffic system includes at least one position determining device, at least one image capturing device, a matching and tagging module, an image analysis module, and a calibration module. The position determining device detects a vehicle in violation of traffic rules and activates the image capturing device to capture images of the vehicle. The vehicle is matched and tagged in the images according to vehicle-related information detected by the position determining device by the matching and tagging module. The image analysis module analyses a plurality of images selected from the images to obtain an analysis result. The analysis result is compared with the vehicle-related information by a processor. If the analysis result is different than the vehicle-related information, the position determining device is calibrated by the calibration module. If the analysis result is the same as the vehicle-related information, a calibration is not performed.