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Head-Mounted Display Field of View Simulator for Maritime Search and Rescue Object Detection

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Search and Rescue (SAR) activities involve missions to rescue people that are lost or in danger as e.g. at sea. 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 [1] to gain new insights into how to improve object detection in maritime contexts. The results of the user-study have been published at the IEEE Artificial Intelligence Virtual Reality (AIVR) conference in 2019 [2].

  • Collaborators: Susanna Soon, Artur Lugmayr, Andrew Woods, Tele Tan, Curtin’s HIVE
  • Publications
    • Soon, A. Lugmayr, A. Woods, and T. Tan, “Understanding Head-Mounted Display FOV in Maritime Search and Rescue Object Detection,” in 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), 2018, pp. 116–119. https://doi.org/10.1109/AIVR.2018.00023 
    • Soon, A. Lugmayr, A. Woods, and T. Tan, “Head-Mounted FOV Simulator for User Testing of Maritime Object Detection Tasks,” in 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), 2018, pp. 183–184. https://doi.org/10.1109/AIVR.2018.00039 
  • Additional Material: [Poster PDF]

[1] [pdf] [doi] S. Soon, A. Lugmayr, A. Woods, and T. Tan, “Head-Mounted FOV Simulator for User Testing of Maritime Object Detection Tasks,” in 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), 2018, pp. 183-184.
[Bibtex]
@INPROCEEDINGS{Lugmayr:2018:AIVR:FOVDemo,
  author = {S. Soon and A. Lugmayr and A. Woods and T. Tan},
  title = {Head-Mounted FOV Simulator for User Testing of Maritime Object Detection
  Tasks},
  booktitle = {2018 IEEE International Conference on Artificial Intelligence and
  Virtual Reality (AIVR)},
  year = {2018},
  pages = {183-184},
  month = {Dec},
  doi = {10.1109/AIVR.2018.00039},
  keywords = {Visualization;Resists;Artificial intelligence;Australia;Image edge
  detection;Object detection;Task analysis;Head mounted display, human
  visual system, field of view, AI, central vision, peripheral vision}
}
[2] [pdf] [doi] S. Soon, A. Lugmayr, A. Woods, and T. Tan, “Understanding Head-Mounted Display FOV in Maritime Search and Rescue Object Detection,” in 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), 2018, pp. 116-119.
[Bibtex]
@InProceedings{Lugmayr:2018:AIVR:FOV,
  author    = {S. Soon and A. Lugmayr and A. Woods and T. Tan},
  title     = {Understanding Head-Mounted Display FOV in Maritime Search and Rescue Object Detection},
  booktitle = {2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)},
  year      = {2018},
  month     = {Dec},
  pages     = {116-119},
  doi       = {10.1109/AIVR.2018.00023},
  keywords  = {Object detection;Visualization;Image edge detection;Task analysis;Artificial intelligence;Image resolution;Search problems;Head Mounted Display, FOV, human visual system, field of view, AI, central vision, peripheral vision, Human-Computer-Interaction, maritime search and rescue},
}