Main Papers¶
Original maplab paper containing visual-inertial framework
@article{schneider2018maplab,
title={maplab: An Open Framework for Research in Visual-inertial Mapping and Localization},
author={T. Schneider and M. T. Dymczyk and M. Fehr and K. Egger and S. Lynen and I. Gilitschenski and R. Siegwart},
journal={IEEE Robotics and Automation Letters},
year={2018},
doi={10.1109/LRA.2018.2800113}
}
Additional Citations¶
The following list contains a list of paper on which specific components of maplab are built on:
Localization:
@inproceedings{lynen2015get, title={Get Out of My Lab: Large-scale, Real-Time Visual-Inertial Localization.}, author={Lynen, Simon and Sattler, Torsten and Bosse, Michael and Hesch, Joel A and Pollefeys, Marc and Siegwart, Roland}, booktitle={Robotics: Science and Systems}, year={2015} }
3D reconstruction using the PMVS/CMVS exporter:
@inproceedings{furukawa2010towards, title={Towards internet-scale multi-view stereo}, author={Furukawa, Yasutaka and Curless, Brian and Seitz, Steven M and Szeliski, Richard}, booktitle={Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on}, pages={1434--1441}, year={2010}, organization={IEEE} }
Map Summarization for Tractable Lifelong Mapping
@inproceedings{dymczyk2016map, title={Map Summarization for Tractable Lifelong Mapping}, author={Dymczyk, Marcin and Gilitschenski, Igor and Siegwart, Roland and Stumm, Elena}, booktitle={RSS Workshop on Geometry and beyond, Vol. To Appear, 2016}, year={2016} }
ROVIOLI which is composed of ROVIO + maplab for map building and localization:
@article{bloesch2017iterated, title={Iterated extended Kalman filter based visual-inertial odometry using direct photometric feedback}, author={Bloesch, Michael and Burri, Michael and Omari, Sammy and Hutter, Marco and Siegwart, Roland}, journal={The International Journal of Robotics Research}, volume={36}, number={10}, pages={1053--1072}, year={2017}, }