@InProceedings{PereiraNegLufIlhSus:2017:MoViOd,
author = "Pereira, Fabio Irigon and Negreiros, Marcelo and Luft, Joel and
Ilha, Gustavo and Susin, Altamiro",
affiliation = "PGMICRO-UFRGS and DELET-UFRGS and PPGEE-UFRGS and {PPGEE UFRGS}
and PGMICRO-UFRGS",
title = "Monocular Visual Odometry With Cyclic Estimation",
booktitle = "Proceedings...",
year = "2017",
editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and
Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and
Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba,
Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo
and Vital, Creto and Pagot, Christian Azambuja and Petronetto,
Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Visual Odometry, Visual SLAM, Computer Vision.",
abstract = "Monocular Visual Odometry (MVO) estimates the camera position and
orientation, based on images generated by a single camera. In this
paper a new sparse MVO system for camera equipped vehicles is
proposed. Three view cyclic Perspective-n-Point with adaptive
threshold is used for camera pose estimation, perspective image
transformations are used to improve tracking, and a
multi-attribute cost function selects ground features for scale
recovery. Results using the KITTI dataset show that the proposed
system achieves 1.29\% average translation error and average
rotation precision of 0.0029 degrees per meter.",
conference-location = "Niter{\'o}i, RJ, Brazil",
conference-year = "17-20 Oct. 2017",
doi = "10.1109/SIBGRAPI.2017.7",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2017.7",
language = "en",
ibi = "8JMKD3MGPAW/3PFC2R2",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3PFC2R2",
targetfile = "PID4957061.pdf",
urlaccessdate = "2024, Apr. 28"
}