Abstract
In this study, we develop a vision-based safety driver assistance system (DAS) for use with motorcycles. DASs have been studied by researchers and developed by car companies as a tool to avoid traffic accidents. However, existing studies have seldom focused on motorcycle riders. In Taiwan, the prevention of motorcycle accidents cannot be ignored when developing safety DASs since they are involved in a significant percentage of traffic accidents. This paper proposes a safety DAS for motorcycles which can obtain an input sequence from a smartphone, detect the distance between the owner's motorcycle and an obstacle ahead, and output warning messages if necessary.
| Original language | English |
|---|---|
| Title of host publication | 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 328-333 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781479960781 |
| DOIs | |
| Publication status | Published - 2014 Nov 14 |
| Event | 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 - Qingdao, China Duration: 2014 Oct 8 → 2014 Oct 11 |
Publication series
| Name | 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 |
|---|---|
| ISSN (Print) | 2153-0009 |
| ISSN (Electronic) | 2153-0017 |
Conference
| Conference | 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 |
|---|---|
| Country/Territory | China |
| City | Qingdao |
| Period | 2014/10/08 → 2014/10/11 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
ASJC Scopus subject areas
- Automotive Engineering
- Mechanical Engineering
- Computer Science Applications
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