UAT 484 · 3(1-4-4) · Year/term 4/1

Autonomous Navigation Technology

เทคโนโลยีการนำร่องอัตโนมัติ

Progress
Notional hours: 135 h (online/self-study 60 · in class/lab 75)

Course description

localization and mapping, sensor fusion, global and local path planning, obstacle avoidance, trajectory tracking, real-time replanning, and evaluation of accuracy, safety, and robustness of autonomous navigation systems

Thai description

การระบุตำแหน่งและสร้างแผนที่ การรวมข้อมูลเซนเซอร์ การวางแผนเส้นทางระดับโลกและเฉพาะที่ การหลีกเลี่ยงสิ่งกีดขวาง การติดตามวิถี การวางแผนใหม่แบบเวลาจริง และการประเมินความถูกต้อง ความปลอดภัย และความทนทานของระบบนำร่องอัตโนมัติ

Description source: Curriculum draft (revised 28 Sep 2026)Previous site code: DRT 493

Course learning outcomes (CLO)

CLOOutcomePLO
CLO1Explain autonomous navigation architecturePLO1PLO4
CLO2Develop path planning and obstacle avoidancePLO4
CLO3Test navigation systems in simulationPLO3PLO4

Learning modules

1Autonomous navigation
Weeks 1–3 · 27 h
2 KU

Online (before class) · 12 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

2Sensor fusion
Weeks 4–6 · 27 h
1 KU

Online (before class) · 12 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

3Path planning
Weeks 7–9 · 27 h
1 KU

Online (before class) · 12 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

4ROS 2 for navigation
Weeks 10–12 · 27 h
1 KU

Online (before class) · 12 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

5Testing in simulators
Weeks 13–15 · 27 h
2 KU

Online (before class) · 12 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

Assessment (draft)

Labs and worksheets35%
Module quizzes10%
Midterm examination20%
Mini-project or practical exam35%

Knowledge domain

Key references

  1. Siegwart, R., Nourbakhsh, I. R., & Scaramuzza, D. (2011). Introduction to autonomous mobile robots (2nd ed.). MIT Press. link
  2. Thrun, S., Burgard, W., & Fox, D. (2005). Probabilistic robotics. MIT Press. link
  3. Open Robotics. ROS 2 documentation. link