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 |
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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 |
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Conference
Conference | IEEE International Conference on Artificial Intelligence and Virtual Reality |
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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