Advanced computing and image processing utilised in dashcam imagery study
Paper
Paper/Presentation Title | Advanced computing and image processing utilised in |
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Presentation Type | Paper |
Authors | Majeed, Ammar (Author) and Chong, Albert K. (Author) |
Journal or Proceedings Title | Proceedings of the IEEE 10TH Symposium on Computer Applications and Industrial Electronics (ISCAIE 2020) |
Number of Pages | 4 |
Year | 2020 |
Place of Publication | United States |
ISBN | 9781728150338 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ISCAIE47305.2020.9108798 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/9108798 |
Web Address (URL) of Conference Proceedings | https://ieeexplore.ieee.org/xpl/conhome/9099008/proceeding |
Conference/Event | IEEE 10TH Symposium on Computer Applications and Industrial Electronics (ISCAIE 2020) |
Event Details | IEEE 10TH Symposium on Computer Applications and Industrial Electronics (ISCAIE 2020) Parent IEEE Symposium on Computer Applications and Industrial Electronics Event Date 18 to end of 19 Apr 2020 Event Location Penang, Malaysia |
Abstract | This paper discussed the use of advanced computing and image processing technique to study dashcam imagery based on collinearity and epi-polar conditions, and multiple-polynomial regression. Existing software was improved to examine the problems relating to multi-component lens distortions conditions. The objective of this paper was to report detail of the study findings based on real-world test-fields. A high quality (professional) digital camera was utilised in the study for imagery quality comparison purposes. The results showed that dashcam exhibits multi-component lens and sensor distortions which required precision real-world test-field calibration. Overall, the study found the distortion properties of dashcam were of roughly 15 times higher than professional digital cameras. Based on these findings, dashcam imageries have limited application in high-precision scientific, engineering or forensic applications. However, coarse estimation of projectile velocity and direction of projectile motion is promising. |
Keywords | dashcam, imagery distortion, polynomials, realworldtest-field |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 409999. Other engineering not elsewhere classified |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of Baghdad, Iraq |
School of Civil Engineering and Surveying | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q6xvy/advanced-computing-and-image-processing-utilised-in-dashcam-imagery-study
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