Advanced driving support system is necessary to intelligent recognition technology and control technology, and applying the
advanced contents of the information processing system and modern control in the relevant art, and occasionally contains a
new theory proposed in this field. In this lecture, students are guided to compile their research, which includes the above
content under study, into a thesis format. However, the course is open to students whose research is not limited to driver
assistance systems but includes the following contents.
1. SHIFT in the image processing for analyzing the ambient environment, the object of computer vision using the HOG etc.
2. SV for performing pattern recognition of the identified object, the kernel method and machine learning by AdaBoost, etc.
3. Sliding mode to control according to the recognition result to the situation, control theory, such as H∞
And it is. Also, the teaching also fusion techniques for integrating the contents.
1. SHIFT in the image processing for analyzing the ambient environment, the object of computer vision using the HOG etc.
2. SV for performing pattern recognition of the identified object, the kernel method and machine learning by AdaBoost, etc.
3. Sliding mode to control according to the recognition result to the situation, control theory, such as H∞
And it is. Also, the teaching also fusion techniques for integrating the contents.
Acquire writing English paper and presentation skills regarding to advanced driver support systems.
- Students can acquire elemental technologies and knowledge necessary for advanced driver assistance systems.
- Students can understand advanced driver assistance system, and acquisition of how to survey this research field.
- Students can propose the concept and configuration of a new advanced driver assistance system according to the needs.
- Students can make papers for submitting to related institute conferences and journals.
| Class schedule | HW assignments (Including preparation and review of the class.) | Amount of Time Required | |
|---|---|---|---|
| 1． | Explain students theses abstract (1) | Prepare students theses abstract. | 200minutes |
| 2． | Explain students theses abstract (2) | Prepare students theses abstract. | 200minutes |
| 3． | Explain students introduction and background (1) | Preparing for explain of students introduction and background. | 200minutes |
| 4． | Explain students introduction and background (2) | Preparing for explain of students introduction and background. | 200minutes |
| 5． | Explain students conventional methods (1) | Preparing for explain of students conventional methods. | 200minutes |
| 6． | Explain students conventional methods (2) | Preparing for explain of students conventional methods. | 200minutes |
| 7． | Explain students proposal methods (1) | Preparing for explain of students proposal methods. | 200minutes |
| 8． | Explain students proposal methods (2) | Preparing for explain of students proposal methods. | 200minutes |
| 9． | Explain experiments and results (1) | Preparing for explanation of students experiments and results. | 200minutes |
| 10． | Explain experiments and results (2) | Preparing for explanation of students experiments and results. | 200minutes |
| 11． | Conclude students theses (1) | Preparing for discussion, summary, conclusion and future works for students paper. | 200minutes |
| 12． | Conclude students theses (2) | Preparing for discussion, summary, conclusion and future works for students paper. | 200minutes |
| 13． | Final presentation (1) | Preparing for presentation of students paper and reviewing for lecture contains. | 200minutes |
| 14． | Final presentation (2) | Preparing for presentation of students paper and reviewing for lecture contains. | 200minutes |
| Total. | - | - | 2800minutes |
| Presentation | Total. | |
|---|---|---|
| 1. | 40% | 40% |
| 2. | 30% | 30% |
| 3. | 30% | 30% |
| Total. | 100% | - |
Evaluate the understanding level and presentation for each study. The minimum line to get 60 scores is to submit all the assignments
and make the final presentation.
"Intelligent Transport Systems" in Encyclopedia of Automotive Enginnering
（Electrical book in the library）.
（Electrical book in the library）.
- Course that cultivates an ability for utilizing knowledge
- Course that cultivates a basic problem-solving skills
| Work experience | Work experience and relevance to the course content if applicable |
|---|---|
| Applicable | The professor has experiences over 20 years regarding to ADAS R&D. |
- 4.QUALITY EDUCATION
- 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Fri Mar 18 23:15:40 JST 2022