Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Spring Semester
Year 2024 328534 Autonomous Vehicle Theory and Practice 1 3.0 3 ★ Hsin-Han Chiang GVE 29 1 車輛四、車輛所合開

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2024	328534	Autonomous Vehicle Theory and Practice	1	3.0	3	★	Hsin-Han Chiang	GVE	29	1	車輛四、車輛所合開

Course Plan：

Instructor Hsin-Han Chiang　Office Hours

Email hsinhan1001@gmail.com

Last Updated 2024-05-22 15:05:50

Course Objective 透過自駕車理論與實務的課程講述，以及搭配業師實作經驗分享，除可以使修課同學對自駕車研究有基本概念之外，也可以藉本堂課引發對新興車輛技術研究領域與其實際應用之興趣。本課程涵蓋內容為自駕車軌跡規劃與控制、先進駕駛輔助控制設計、自駕車感知資料處理及物件偵測演算法、及AI技術應用於自駕車相關功能設計。本課程根據授課主題搭配實驗單元與期末專題，配合使用Matlab/Simulink、CarSim、Python、AI ToolBox等工具軟體，讓修課同學可應用課堂所學來進行自駕車演算法與技術開發，及透過模擬結果分析與驗證。 This course aims to teach the lessons of autonomous vehicle (AV) theory and practical applications. Moreover, with the experience sharing and cooperative lecturing from industrial experts, students can gain more knowledge about the fundamental concepts of AV research. The course introduces major contents including path planning and tracking control design, advanced driver-assistance systems (ADAS), perception data processing and detection algorithms, and AI-based technologies in the applications of AV. The course will arrange some labs and the term project to provide students, through conducted simulation analysis and verification, with an in-depth understanding of the emerging technology of AV.

Course Schedule Week 1: 課程簡介與自駕車應用與發展趨勢 Week 2: 自駕車系統介紹 Week 3: 自駕車關鍵技術與模組 Week 4: 自駕車控制設計與模擬(I) Week 5: 自駕車控制設計與模擬(II) Week 6: 自駕車開發工具介紹與使用(I) Week 7: 自駕車開發工具介紹與使用(II) Week 8: 自駕車模擬技術及延伸應用 Week 9: Midterm Week 10: 自駕車感知技術應用設計(I) Week 11: 自駕車感知技術應用設計(II) Week 12: 自駕車規劃與控制決策開發(I) Week 13: CarSim Lab - Traffic Simulation Week 14: 自駕車規劃與控制決策開發(II) Week 15: CarSim Lab - Motion Control Design Week 16: 自駕車AI應用介紹 Week 17: 期末專題與報告 (Online) Week 18: 期末專題與報告 (Online)

Evaluation and grading policy Lab Report: 40% Midterm Exams: 30% Term Project: 30%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
1. Reference Book: Harald Waschl, Ilya Kolmanovsky, Frank Willems, Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions. Springer, 2019, ISBN 978-3-319-91569-2 (eBook). 2. 自編講義，教材內容參考外文原文書及期刊等資料。

The access to curricular consultation 課程資訊網：i學園
任課教師連絡方式：
電子郵件：hsinhan@mail.ntut.edu.tw
校內分機：3615

The course corresponds to the SDGs

Note
　

Instructor	Hsin-Han Chiang　Office Hours
Email	hsinhan1001@gmail.com
Last Updated	2024-05-22 15:05:50
Course Objective	透過自駕車理論與實務的課程講述，以及搭配業師實作經驗分享，除可以使修課同學對自駕車研究有基本概念之外，也可以藉本堂課引發對新興車輛技術研究領域與其實際應用之興趣。本課程涵蓋內容為自駕車軌跡規劃與控制、先進駕駛輔助控制設計、自駕車感知資料處理及物件偵測演算法、及AI技術應用於自駕車相關功能設計。本課程根據授課主題搭配實驗單元與期末專題，配合使用Matlab/Simulink、CarSim、Python、AI ToolBox等工具軟體，讓修課同學可應用課堂所學來進行自駕車演算法與技術開發，及透過模擬結果分析與驗證。 This course aims to teach the lessons of autonomous vehicle (AV) theory and practical applications. Moreover, with the experience sharing and cooperative lecturing from industrial experts, students can gain more knowledge about the fundamental concepts of AV research. The course introduces major contents including path planning and tracking control design, advanced driver-assistance systems (ADAS), perception data processing and detection algorithms, and AI-based technologies in the applications of AV. The course will arrange some labs and the term project to provide students, through conducted simulation analysis and verification, with an in-depth understanding of the emerging technology of AV.
Course Schedule	Week 1: 課程簡介與自駕車應用與發展趨勢 Week 2: 自駕車系統介紹 Week 3: 自駕車關鍵技術與模組 Week 4: 自駕車控制設計與模擬(I) Week 5: 自駕車控制設計與模擬(II) Week 6: 自駕車開發工具介紹與使用(I) Week 7: 自駕車開發工具介紹與使用(II) Week 8: 自駕車模擬技術及延伸應用 Week 9: Midterm Week 10: 自駕車感知技術應用設計(I) Week 11: 自駕車感知技術應用設計(II) Week 12: 自駕車規劃與控制決策開發(I) Week 13: CarSim Lab - Traffic Simulation Week 14: 自駕車規劃與控制決策開發(II) Week 15: CarSim Lab - Motion Control Design Week 16: 自駕車AI應用介紹 Week 17: 期末專題與報告 (Online) Week 18: 期末專題與報告 (Online)
Evaluation and grading policy	Lab Report: 40% Midterm Exams: 30% Term Project: 30%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes 1. Reference Book: Harald Waschl, Ilya Kolmanovsky, Frank Willems, Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions. Springer, 2019, ISBN 978-3-319-91569-2 (eBook). 2. 自編講義，教材內容參考外文原文書及期刊等資料。
The access to curricular consultation	課程資訊網：i學園任課教師連絡方式：電子郵件：hsinhan@mail.ntut.edu.tw 校內分機：3615
The course corresponds to the SDGs
Note