DocumentCode
2359036
Title
A Real Time 6DOF Visual SLAM System Using a Monocular Camera
Author
Díaz, Andrés ; Caicedo, Eduardo ; Paz, Lina ; Piniés, Pedro
Author_Institution
Escuela de Ing. Electica y Electron., Univ. del Valle, Santiago de Cali, Colombia
fYear
2012
fDate
16-19 Oct. 2012
Firstpage
45
Lastpage
50
Abstract
One of the most important properties that a robot must have in order to be considered autonomous is the ability to localize by itself in an unknown environment, using the information gathered by its sensors. The system uses a cheap web camera, carried by a mobile robot or by a person, while it builds a map and at the same time estimates its localization with respect to this map. To develop such system, problems such as camera calibration, corners detection, features parametrization, motion and measurement models, and the estimation of the joint state camera-features using the extended Kalman Filter, must be tackled.
Keywords
Kalman filters; SLAM (robots); image sensors; mobile robots; real-time systems; Web camera; camera calibration; corners detection; extended Kalman Filter; feature parametrization; measurement models; mobile robot; monocular camera; motion models; real time 6DOF visual SLAM system; Cameras; Mathematical model; Robot vision systems; Simultaneous localization and mapping; Trajectory; Vectors; 6DOF; EKF; SLAM; active search; inverse depth; monocular camera; radial distortion; real time;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics Symposium and Latin American Robotics Symposium (SBR-LARS), 2012 Brazilian
Conference_Location
Fortaleza
Print_ISBN
978-1-4673-4650-4
Type
conf
DOI
10.1109/SBR-LARS.2012.14
Filename
6363317
Link To Document