Homepage » ALL COURSE » College of Electrical and Computer Engineering » Robotic Vision (English) – 105 Academic Year | College of Electrical and Computer Engineering Prof. Nick Wang
本課程是由 國立陽明交通大學電機工程學系 提供。
This course covers fundamental and advanced domains in vision for mobile robots, including topics from early vision to mid- and high-level vision. We will use "Duckietown" (an open course "MIT 2.166 Autonomous Vehicles) as platform, and students will form teams to develop vision-based projects, including mobile robots, assistive robots, or VR.
(This course is taught in English.)
Textbook:
1. Computer Vision: Algorithms and Applications, Richard Szeliski, Springer, 2010.
2. Robotics, Vision, and Control, Peter Croke, Springer, 2011.
3. Introduction to Autonomous Robots, Nikolaus Correll, 2015.
4. Virtual Reality, Steven M. LaValle, 2016.
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Instructor(s) | College of Electrical and Computer Engineering Prof. Nick Wang |
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Course Credits | 3 Credits |
Academic Year | 105 Academic Year |
Level | Graduate Student |
Prior Knowledge | This course involve a fair amount of probability, linear algebra, and programming. Students who took image processing, computer vision, and creative software project are encouraged to join, but not required. Being familiar |
Related Resources | Course Video Course Syllabus Course Calendar |
Week | Course Content | Course Video |
---|---|---|
單元1 Introduction to Robotic Vision | Watch Online | |
單元2 Duckietown,Robotic Vision for Assistive Technology | Watch Online | |
單元3 AprilTags | Watch Online | |
單元4 Objection Detection and Evaluation | Watch Online | |
單元5 Mid-Level Features | Watch Online | |
單元6 High-Level Features | Watch Online | |
單元9 Sensor Data, RANSAC, FORVIS | Watch Online | |
單元10 RANSAC, ICP | Watch Online | |
單元11 Navigation Overview, Gazebo | Watch Online | |
單元12 The Map and World Model (2D, 3D Mapping) | Watch Online | |
單元13 Robot Model | Watch Online | |
單元14 Duckietown Review | Watch Online | |
【報告1 In-Class Tutorial】 Jupyter & python | Watch Online | |
【報告2 In-Class Tutorial】 Object Detector | Watch Online | |
【報告3 In-Class Tutorial】 Gazebo Simulation | Watch Online | |
【報告4 In-Class Tutorial】 Caffe Tutorial | Watch Online | |
【報告5 In-Class Tutorial】 PCL & LCM Tutorial | Watch Online | |
【報告6 In-Class Tutorial】 PCL Segmentation | Watch Online | |
【報告7 In-Class Tutorial】 Visual Odometry | Watch Online | |
【報告8 In-Class Tutorial】 Visual Odometry 【報告9 In-Class Tutorial】 | Watch Online | |
【報告9 In-Class Tutorial】 Husky | Watch Online | |
【報告10 In-Class Tutorial】 Rosserial Arduino & Encoder Visualization | Watch Online | |
【報告11 In-Class Tutorial】 Tensorflow | Watch Online | |
【報告12 In-Class Tutorial】 Multicamera System (Eye to Hand System) | Watch Online | |
【期中報告】 Group:Team1 Topic:Virtual Reality Simulation Group member:林哲民、林倪敬 | Watch Online | |
【期中報告】 Group:Team2 Topic:Guidedog Robot Group member:洪禎浩、陳季希、郭昌易 | Watch Online | |
【期中報告】 Group:Team3 Topic:Smart Home Security Robot Group member:陳冠宏、蕭詩穎 | Watch Online | |
【期中報告】 Group:Team4 Topic:Consultant Robot Group member:黃鴻銘、羅少鴻 | Watch Online | |
【期中報告】 Group:Team5 Topic:3D Prediction Group member:蘇詠善、鄧駿智、歐彥宏 | Watch Online | |
【期中報告】 Group:Team6 Topic:ROBO-Cleaner Group member:Wongsatorn、Samir、Timothius | Watch Online | |
【期中報告】 Group:Team7 Topic:Object Recognition Group member:章宇賢、賴昱廷 | Watch Online | |
【期中報告】 Group:Team8 Topic:Autonomous Lift Riding Robot Group member:Yury | Watch Online | |
【期中報告】 Group:Team9 Topic:Multicamera system (Eye to Hand system) Group member:鄧至普、鄭景鴻 | Watch Online | |
【期中報告】 Group:Team10 Topic:Reinforcement learning Group member:詹巧同、練怡均 | Watch Online | |
【期末報告】 Group:Team1 Topic:Virtual Reality Simulation Group member:林哲民、林倪敬 | Watch Online | |
【期末報告】 Group:Team2 Topic:Guidedog Robot Group member:洪禎浩、陳季希、郭昌易 | Watch Online | |
【期末報告】 Group:Team3 Topic:Smart Home Security Robot Group member:陳冠宏、蕭詩穎 | Watch Online | |
【期末報告】 Group:Team4 Topic:Consultant Robot Group member:黃鴻銘、羅少鴻 | Watch Online | |
【期末報告】 Group:Team5 Topic:3D Prediction Group member:蘇詠善、鄧駿智、歐彥宏 | Watch Online | |
【期末報告】 Group:Team6 Topic:ROBO-Cleaner Group member:Wongsatorn、Samir、Timothius | Watch Online | |
【期末報告】 Group:Team7 Topic:Object Recognition Group member:章宇賢、賴昱廷 | Watch Online | |
【期末報告】 Group:Team8-1 Topic:Autonomous Lift Riding Robot Group member:Alex | Watch Online | |
【期末報告】 Group:Team8-2 Topic:Autonomous Lift Riding Robot Group member:Yury | Watch Online | |
【期末報告】 Group:Team9 Topic:Multicamera system (Eye to Hand system) Group member:鄧至普、鄭景鴻 | Watch Online | |
【期末報告】 Group:Team10 Topic:Reinforcement learning Group member:詹巧同、練怡均 | Watch Online |
課程目標
This course covers fundamental and advanced domains in vision for mobile robots, including topics from early vision to mid- and high-level vision. We will use "Duckietown" (an open course "MIT 2.166 Autonomous Vehicles) as platform, and students will form teams to develop vision-based projects, including mobile robots, assistive robots, or VR.
課程章節
章節 | 章節內容 |
單元一 | Introduction to Robotic Vision |
單元二 | Duckietown,Robotic Vision for Assistive Technology |
單元三 | AprilTags |
單元四 | Objection Detection and Evaluation |
單元五 | Mid-Level Features |
單元六 | High-Level Features |
單元九 | Sensor Data, RANSAC, FORVIS |
單元十 | RANSAC, ICP |
單元十一 | Navigation Overview, Gazebo |
單元十二 | The Map and World Model (2D, 3D Mapping) |
單元十三 | Robot Model |
單元十四 | Duckietown Review |
課程書目
Computer Vision: Algorithms and Applications, Richard Szeliski, Springer, 2010.
Robotics, Vision, and Control, Peter Croke, Springer, 2011.
Introduction to Autonomous Robots, Nikolaus Correll, 2015.
Virtual Reality, Steven M. LaValle, 2016
評分標準
學期作業
The assignments include problem sets, and the process of writing and reviewing a research paper. Students form teams, with 2-3 people.
Each team can choose either a challenge or project to improve existing method to an existing problem or consider non-traditional problems.
考試狀況
There will be midterm/final exams and in-class quiz.
評量方法
Exam (20%),
Class Participation, In Class Quiz, Problem Sets (10%),
Final presentation (10%)
Project Research Paper (50%)
本課程行事曆提供課程進度與考試資訊參考。
學期週次 | 上課日期 | 參考課程進度 |
第一週 | 2017/02/13 |
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第二週 | 2017/02/20 |
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第三週 | 2017/02/27 |
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第四週 | 2017/03/06 |
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第五週 | 2017/03/13 |
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第六週 | 2017/03/20 |
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第七週 | 2017/03/27 |
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第八週 | 2017/04/03 |
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第九週 | 2017/04/10 |
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第十週 | 2017/04/17 |
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第十一週 | 2017/04/24 |
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第十二週 | 2017/05/01 |
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第十三週 | 2017/05/08 |
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第十四週 | 2017/05/15 |
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第十五週 | 2017/05/22 |
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第十六週 | 2017/05/29 |
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第十七週 | 2017/06/05 |
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第十八週 | 2017/06/12 |
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