Development of Intelligent Riding Comfort Monitoring System for Automated Vehicle : Conceptual structure and experiment design
| Autor: | Gwang Soo Lee, Jae Hwan Lim, Moon Hyung Song, Chang-il Kim, Young Eun Song, Moon Sik Kim, Ki-Chang Lee |
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| Rok vydání: | 2018 |
| Předmět: |
Scheme (programming language)
050210 logistics & transportation Collision avoidance (spacecraft) Reflection (computer programming) Computer science Design of experiments 05 social sciences Control (management) Monitoring system 02 engineering and technology Driving safety 0502 economics and business 0202 electrical engineering electronic engineering information engineering Systems engineering Conceptual structure 020201 artificial intelligence & image processing computer computer.programming_language |
| Zdroj: | 2018 International Conference on Information and Communication Technology Robotics (ICT-ROBOT). |
| DOI: | 10.1109/ict-robot.2018.8549892 |
| Popis: | Clearly, the automated vehicle technology is rapidly advancing. Previous studies had contributed mainly on lane keeping, collision avoidance and coordination control for the driving safety and improving efficiency. And recently, researchers have focused on the driving comfort factors, because eventually the automated vehicle will mainly transport people. Therefore, it is needed to concern about how people react to the system. This paper shows the conceptual structure of the intelligent riding comfort monitoring system for the reflection to the actual driving control. The experiment is designed for the accurate human behavior monitoring. The proposed scheme can potentially be applied for many types of the automated vehicles to improve the perceived quality of automated driving. |
| Databáze: | OpenAIRE |
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