@inproceedings{1347056022064c9e99eb4e8c381906fa,
title = "Lightweight Line Features for Indoor Camera Pose Estimation",
abstract = "Pose estimation in an indoor environment is of utmost importance for robotic applications. With the absence of a ubiquitous GPS alternative, vision based methods become the go-to approach. This paper introduces a light-weight method for orientation and position estimation from a single frame based on typical indoor architectural features. This method can be used in an autonomous micro aerial vehicle to navigate in real-time with a limited on board processor.",
author = "Amir Geva and Hector Rotstein",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 9th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2018 ; Conference date: 24-09-2018 Through 27-09-2018",
year = "2018",
month = nov,
day = "13",
doi = "10.1109/IPIN.2018.8533690",
language = "English",
series = "IPIN 2018 - 9th International Conference on Indoor Positioning and Indoor Navigation",
publisher = "Institute of Electrical and Electronics Engineers",
booktitle = "IPIN 2018 - 9th International Conference on Indoor Positioning and Indoor Navigation",
address = "United States",
}