Abstract
Search and Rescue (SAR) activities involve missions to rescue people that are lost or in danger, in environments including sea, land, mountainous terrain or deserts. Today, still-and video-camera technologies e.g. mounted on drones, are increasingly being used to capture views that may not easily be accessible. To conduct user tests of different image presentations, we implement a head-mounted 360° FOV simulator to gain new insights into how to improve object detection by operators. We describe the implemented simulator and give a brief overview of the demonstrator to be presented at the conference.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018 |
| Publisher | IEEE |
| Pages | 183-184 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781538692691 |
| DOIs | |
| Publication status | Published - 15 Jan 2019 |
| MoE publication type | A4 Conference publication |
| Event | IEEE International Conference on Artificial Intelligence and Virtual Reality - Taichung, Taiwan, Republic of China Duration: 10 Dec 2018 → 12 Dec 2018 Conference number: 1 |
Publication series
| Name | Proceedings - 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018 |
|---|
Conference
| Conference | IEEE International Conference on Artificial Intelligence and Virtual Reality |
|---|---|
| Abbreviated title | AIVR |
| Country/Territory | Taiwan, Republic of China |
| City | Taichung |
| Period | 10/12/2018 → 12/12/2018 |
Keywords
- AI
- Central vision
- Field of view
- Head mounted display
- Human visual system
- Peripheral vision
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