Abstract
Total of road accident rose surprisingly during festive season. In addition, road
accidents may lead in injury, death or property damage. The relevant of the study may
assist in determining the percentage of the car damage for cost estimation. At the end
of study, based on the outcome, it can provide the solving and methodology to analyze
vehicle damage and achieving the cost estimation of vehicle deformation. This study
examined the percentage of vehicle damage from front side. The percentage obtained
used for cost estimation. A simple surveyed done to workshop to be know the real price
based on the damaged, and then compared the cost. The aim of this study is to analyse
vehicle damage to gain the percentage of damage for getting with the real cost. Data
used in this study obtained by using close range photogrammetry method. A vehicle
image captured, and then processed into Photomodeler. Percentage computation done
by referring the amount of volume of damage before and after the vehicle accident. Last
for estimating cost by comparing to the real price at workshop. In conclusion, the
expected result shows 3D image of rear vehicle component, percentage of damages and
cost. As for contribution this study helps the car owner when having an accident or
insurance companies evaluating the material damages caused by a traffic accident,
includes the accurate knowledge of the vehicle body deformations and the degree of car
damages. Besides, it helps in cost estimation for car damage to get repaired.
Metadata
Item Type: | Thesis (Degree) |
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Creators: | Creators Email / ID Num. Noor Azmin, Nurul Shafiqah Hazelin UNSPECIFIED |
Subjects: | Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Computer software > Software measurement T Technology > TR Photography > Applied photography > Scientific and technical applications > Photogrammetry |
Divisions: | Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Architecture, Planning and Surveying |
Keywords: | vehicle damage ; close range photogrammetry ; photomodeler ; cost estimation |
Date: | December 2018 |
URI: | https://ir.uitm.edu.my/id/eprint/22484 |
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