Advanced computing and image processing utilised in dashcam imagery study

Majeed, Ammar and Chong, Albert K. (2020) Advanced computing and image processing utilised in dashcam imagery study. In: IEEE 10TH Symposium on Computer Applications and Industrial Electronics (ISCAIE 2020), 18 Apr - 19 Apr 2020, 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.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 - 31 Dec 2021)
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 - 31 Dec 2021)
Date Deposited: 14 Feb 2022 01:17
Last Modified: 16 Mar 2022 00:35
Uncontrolled Keywords: dashcam, imagery distortion, polynomials, realworld test-field
Fields of Research (2008): 09 Engineering > 0905 Civil Engineering > 090599 Civil Engineering not elsewhere classified
Fields of Research (2020): 40 ENGINEERING > 4099 Other engineering > 409999 Other engineering not elsewhere classified
Socio-Economic Objectives (2008): B Economic Development > 88 Transport > 8899 Other Transport > 889999 Transport not elsewhere classified
Socio-Economic Objectives (2020): 27 TRANSPORT > 2799 Other transport > 279999 Other transport not elsewhere classified
Identification Number or DOI: https://doi.org/10.1109/ISCAIE47305.2020.9108798
URI: http://eprints.usq.edu.au/id/eprint/45254

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