Title :
Building a partial 3D line-based map using a monocular SLAM
Author :
Zhang, Guoxuan ; Suh, Il Hong
Author_Institution :
Coll. of Inf. & Commun., Hanyang Univ., Seoul, South Korea
Abstract :
In this paper, we present a monocular SLAM method which uses vertical and the floor line features as sensory input. A line-based partial 3D map was built, in which many structural properties of the environment can be included. The vertical line and the floor line can be represented as simple 2D objects in the floor plane. These two heterogeneous types of line features were developed as independent SLAM features and combined to represent the environment in a more complete fashion. Although the vertical and floor line use different parameterization and initialization methods, their measurement models are integrated into a unified EKF framework. Experimental results show that this method is practical in a structured indoor environment.
Keywords :
Kalman filters; SLAM (robots); floor line; line-based partial 3D map; measurement model; monocular SLAM; partial 3D line-based map; simple 2D objects; structural properties; structured indoor environment; unified EKF framework; vertical line; Cameras; Feature extraction; Robot kinematics; Robot vision systems; Simultaneous localization and mapping;
Conference_Titel :
Robotics and Automation (ICRA), 2011 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-386-5
DOI :
10.1109/ICRA.2011.5979665