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Algorithm development for minor damage identification in vehicle bodies using adaptive sensor data processing.

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Title: Algorithm development for minor damage identification in vehicle bodies using adaptive sensor data processing.
Authors: Gontscharov, Sergei1 sgon@uni-bremen.de, Baumgärtel, Hauke1, Kneifel, Andre1, Krieger, Karl-Ludwig1
Source: Interdisciplinarity in Engineering. 2014, Vol. 15, p587-595. 9p.
Subjects: Algorithm research, Microelectronics research, Information storage & retrieval systems, Electronic data processing, Electronic control
Abstract: The paper presents an approach for fully-automatic detection and recognition of minor vehicle body damages in a scenario of frequently changing drivers, such as in the car rental or car sharing businesses. It utilizes a sensor network integrated into the vehicle body. The algorithmically contribution is the multi sensor-data fusion of the signals from these sensors and the subsequent reasoning framework stage. The present research assignment is the inclusion of additional information from the network of the vehicle's electronic control units. This additional information about the vehicle state (e.g. closed or opened door status, speed, changing fuel level) is used to verify the calculated damage events. The efficiency of a structural damage detection directly depends on the acoustical vehicle noise level. Additional structure-borne sound sources also introduce oscillations into the vehicle body (e.g. road and engine noise, opening and closing doors). Some of this information uses a central electronic unit for adaptive sensor data processing of the damage detection system. The higher confidence of correctly identified damages increases the credibility of the system. [ABSTRACT FROM AUTHOR]
Copyright of Interdisciplinarity in Engineering is the property of University of Medicine, Pharmacy, Sciences and Technology of Tîrgu Mures and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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  Data: Algorithm development for minor damage identification in vehicle bodies using adaptive sensor data processing.
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  Data: <searchLink fieldCode="JN" term="%22Interdisciplinarity+in+Engineering%22">Interdisciplinarity in Engineering</searchLink>. 2014, Vol. 15, p587-595. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Algorithm+research%22">Algorithm research</searchLink><br /><searchLink fieldCode="DE" term="%22Microelectronics+research%22">Microelectronics research</searchLink><br /><searchLink fieldCode="DE" term="%22Information+storage+%26+retrieval+systems%22">Information storage & retrieval systems</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+data+processing%22">Electronic data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+control%22">Electronic control</searchLink>
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  Data: The paper presents an approach for fully-automatic detection and recognition of minor vehicle body damages in a scenario of frequently changing drivers, such as in the car rental or car sharing businesses. It utilizes a sensor network integrated into the vehicle body. The algorithmically contribution is the multi sensor-data fusion of the signals from these sensors and the subsequent reasoning framework stage. The present research assignment is the inclusion of additional information from the network of the vehicle's electronic control units. This additional information about the vehicle state (e.g. closed or opened door status, speed, changing fuel level) is used to verify the calculated damage events. The efficiency of a structural damage detection directly depends on the acoustical vehicle noise level. Additional structure-borne sound sources also introduce oscillations into the vehicle body (e.g. road and engine noise, opening and closing doors). Some of this information uses a central electronic unit for adaptive sensor data processing of the damage detection system. The higher confidence of correctly identified damages increases the credibility of the system. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Interdisciplinarity in Engineering is the property of University of Medicine, Pharmacy, Sciences and Technology of Tîrgu Mures and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.protcy.2014.09.019
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      – Code: eng
        Text: English
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        PageCount: 9
        StartPage: 587
    Subjects:
      – SubjectFull: Algorithm research
        Type: general
      – SubjectFull: Microelectronics research
        Type: general
      – SubjectFull: Information storage & retrieval systems
        Type: general
      – SubjectFull: Electronic data processing
        Type: general
      – SubjectFull: Electronic control
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      – TitleFull: Algorithm development for minor damage identification in vehicle bodies using adaptive sensor data processing.
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            NameFull: Baumgärtel, Hauke
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            NameFull: Kneifel, Andre
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            NameFull: Krieger, Karl-Ludwig
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            – D: 01
              M: 07
              Text: 2014
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              Y: 2014
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              Value: 15
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            – TitleFull: Interdisciplinarity in Engineering
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