@inproceedings{541d5a22f3a4432ebdd292f233409d71,
title = "Semantic labelling to aid navigation in prosthetic vision",
abstract = "Current and near-term implantable prosthetic vision systems offer the potential to restore some visual function, but suffer from limited resolution and dynamic range of induced visual percepts. This can make navigating complex environments difficult for users. Using semantic labelling techniques, we demonstrate that a computer system can aid in obstacle avoidance, and localizing distant objects. Our system automatically classifies each pixel in a natural image into a semantic class, then produces an image from the induced visual percepts that highlights certain classes. This technique allows the user to clearly perceive the location of different types of objects in their field of view, and can be adapted for a range of navigation tasks.",
author = "Lachlan Horne and Alvarez, \{Jose M.\} and Chris McCarthy and Nick Barnes",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 ; Conference date: 25-08-2015 Through 29-08-2015",
year = "2015",
month = nov,
day = "4",
doi = "10.1109/EMBC.2015.7319117",
language = "English",
series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3379--3382",
booktitle = "2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015",
address = "United States",
}