DRT 454 · 3(2-3-5) · Year/term 4/2

UAS for Building and Infrastructure Inspection

โดรนสำหรับตรวจสอบอาคารและโครงสร้างพื้นฐาน

Progress

Notional hours: 150 h (online/self-study 75 · in class/lab 75)

Course description

UAS inspection of buildings and infrastructure; mission planning; camera and sensor data acquisition; anomaly detection; and inspection reporting.

Thai description

การวางแผนและปฏิบัติภารกิจตรวจสอบอาคาร สะพาน ถนน เสา สายส่งและโครงสร้างพื้นฐาน การเก็บข้อมูลจากกล้องและเซนเซอร์ การตรวจหาความผิดปกติ และรายงานผล

Description source: Curriculum draft (25 Sep 2026)

Course learning outcomes (CLO)

CLO	Outcome	PLO
CLO1	Plan building and infrastructure inspection missions	PLO3PLO5
CLO2	Acquire and analyse data to detect anomalies	PLO4PLO5
CLO3	Produce inspection reports to professional standards	PLO5PLO6

Learning modules

1Inspection methodology
Weeks 1–3 · 30 h1 KU

Online (before class) · 15 h

Study the assigned knowledge units in advance, review media and take the module quiz

Structural inspection methods with dronesIn development

In class / field · 15 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

Open module

2Planning close-proximity missions
Weeks 4–6 · 30 h2 KU

Online (before class) · 15 h

Study the assigned knowledge units in advance, review media and take the module quiz

Structural inspection methods with dronesIn development
Deciding when the plan goes wrongTH

In class / field · 15 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

Open module

3RGB, thermal and 3D imagery
Weeks 7–9 · 30 h2 KU

Online (before class) · 15 h

Study the assigned knowledge units in advance, review media and take the module quiz

Principles of thermal imagingIn development
From multi-view images to a 3D modelTH

In class / field · 15 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

Open module

4AI damage detection
Weeks 10–12 · 30 h2 KU

Online (before class) · 15 h

Study the assigned knowledge units in advance, review media and take the module quiz

Landslides, buildings and damaged structuresTH
Intelligent video analyticsIn development

In class / field · 15 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

Open module

5Reporting and data delivery
Weeks 13–15 · 30 h3 KU

Online (before class) · 15 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 15 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

Open module

Assessment (draft)

Labs and worksheets	35%
Module quizzes	10%
Midterm examination	20%
Mini-project or practical exam	35%

Knowledge domain

D08 Mission planning, flight and simulation D09 Law, safety and risk D11 Artificial intelligence and computer vision D13 Surveying, mapping and geoinformatics D14 Inspection, industry and surveillance D16 Public safety and disasters

Key references

Barnhart, R. K., Marshall, D. M., & Shappee, E. (Eds.). (2021). Introduction to unmanned aircraft systems (3rd ed.). CRC Press.
Vollmer, M., & Möllmann, K.-P. (2017). Infrared thermal imaging: Fundamentals, research and applications (2nd ed.). Wiley-VCH.
Wolf, P. R., Dewitt, B. A., & Wilkinson, B. E. (2014). Elements of photogrammetry with applications in GIS (4th ed.). McGraw-Hill.