Mixed Reality in Automotive Industry: Improving Visualization of Manufactured Products

Literature Review (Secondary Research) Template
Student Name & CSU ID
Project Topic Title Mixed reality in automotive industry for improving visualization process of manufactured products
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Version 1.0 _ Week 1 (5 Journal Papers from CSU Library)
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Reference in APA format that will be in
'Reference List'
Erkoyuncu, J. A., del Amo, I. F., Dalle Mura, M., Roy, R., &Dini, G. (2017). Improving efficiency of industrial
maintenance with context aware adaptive authoring in augmented reality. Cirp Annals, 66(1), 465-468.
Citation that will be in the content Erkoyuncu et. al., 2017
URL of the Reference Level of Journal (Q1, Q2, …Qn) Keywords in this Reference
https://www-sciencedirect-
com.ezproxy.csu.edu.au/science/article/
pii/S0007850617300069
Level of journal-Q1 Maintenance, adaptive authoring, industry, Augmented, Data,
framework.
The Name of the Current Solution
(Technique/ Method/ Scheme/
Algorithm/ Model/ Tool/ Framework/ ...
etc )
The Goal (Objective) of this Solution &
What is the Problem that need to be solved
What are the components of it?
Technique/Algorithm name:
Augmentedrealityauthoring for
maintenance model
Tools:Data, Android device, camera,
authoring tools
Applied Area:Maintenance of industrial
Problem:
The major problem is efficiency and
maintenance of industrial equipments.
Goal:
To improve efficiency of industrial operation
and maintenance of equipments using AR.
 Context data framework
 Information data
 Rendering module
 Real and tracking object
 Application platform module
 CAD and 3D model
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applications
The Process (Mechanism) of this Work; The process steps of the Technique/system
Process Steps Advantage (Purpose of this step) Disadvantage (Limitation/Challenge)
1 Information modulecreates various data
frameworks.
Information gain in sequence with AR Generation of unnecessary data
2 After that Database file generates. Independency of files Connection interrupted
3 Then application implement at application
platform.
Generation of AR content Feedback issues
4 Maintenanceoperation executes. Improve maintenance Equipment error
Validation Criteria (Measurement Criteria)
Dependent Variable Independent Variable
AR content Input from maintenance expert
Adapting information User equipments
Automatic authoring Geographical awareness
Animation process CAD files
Data framework Information module
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Input and Output Critical Thinking: Feature of this work, and
Why (Justify)
Critical Thinking: Limitations of the research
current solution, and Why (Justify)
Input (Data) Output (View)
Data, key frames,
content, CAM, CDF,
User login ID and
password
Video, animation,
errors, AR content,
Files, manual report
In this research, author explores a model for
industrial maintenance to improve efficiency with
AR technique. But some problems occur in
information system.
There are limitation with information and
maintenance system platform i.e. large amount of
data and equipments.
(Describe the research/current solution) Evaluation Criteria How this research/current solution is valuable
for your project
The current solution provides improvement in
efficiency to maintain industrial equipments
without non-technical maintainers using AR
technique.
This model helps to operators and industrial
maintainers to reduce efforts and improve
efficiency through ARAUM technique and also
helpful for industrial equipments.
This project provides real time data and
information about maintenance of industrial
application by using latest techniques.
Diagram/Flowchart
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Figure: ARAUM Framework overview
Figure: information framework module
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Figure: Maintenance module
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2
Reference in APA format that will be in
'Reference List'
Lima, J. P., Roberto, R., Simões, F., Almeida, M., Figueiredo, L., Teixeira, J. M., &Teichrieb, V. (2017).
Markerless tracking system for augmented reality in the automotive industry. Expert Systems with
Applications, 82, 100-114.
Citation that will be in the content Lima et al., 2017
URL of the Reference Level of Journal (Q1, Q2, …Qn) Keywords in this Reference
https://www-sciencedirect-
com.ezproxy.csu.edu.au/science/article/
pii/S0957417417302221
Level of Journal- Q1 Automotive sector, Augmented reality, Markerless tracking
system, CAD
The Name of the Current Solution
(Technique/ Method/ Scheme/
Algorithm/ Model/ Tool/ Framework/ ...
etc )
The Goal (Objective) of this Solution &
What is the Problem that need to be solved
What are the components of it?
Technique/Algorithm name:
Marker less tracking system, Natural
feature based tracking, Edge based tracking
Tools:
Calibration tool, marker, RGB-D sensor, 3-
d model of object, camera
Problem:The issue is tracking and detection of
small objects and other problem is clarification
condition.
Goal:
To develop applications of AR technology
through natural feature based tracking and real
time visualization for automotiveindustries.
RGB sensor
RGB images
Tracker config XML file
Tracker
CAD system
Model generator
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Applied Area:
Manufactured products of automotive
industry
3D coordinate system
The Process (Mechanism) of this Work; The process steps of the Technique/system
Process Steps Advantage (Purpose of this step) Disadvantage (Limitation/Challenge)
1 Image extraction Removal extra data NA
2 Generation of model Reconstruct image of small parts Overlapping of images and data
3 Calibration Flexible model of car from calibrator Recovering issue
4 Tracking Detection of small parts of vehicles Projection error
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Validation Criteria (Measurement Criteria)
Dependent Variable Independent Variable
System model Tracking system
Tracking quality checking method Inlier count and reprojection error metrics
Marker issues Tracking system
3D model Coordinates
Tracking system Natural features of AR
RGB-D images Reconstruction approaches
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