DocumentCode :
3001176
Title :
New constrained initialization for bearing-only SLAM
Author :
Mohammadloo, Saeed ; Arbabmir, Mohammad Vali ; Asl, Habib Ghanbarpour
Author_Institution :
Young Res. & Elite Club, Islamic Azad Univ., Garmsar, Iran
fYear :
2013
fDate :
Nov. 29 2013-Dec. 1 2013
Firstpage :
95
Lastpage :
100
Abstract :
In this paper we present a new landmark initialization technique for Bearing-Only Simultaneous Localization and Mapping (SLAM) algorithm. The initialization scheme is a type of the delayed constrained initialization method and is different from previous approaches. In our work, it is shown that the angle between sequential observations measured by a bearing-only sensor such as pan-tilt camera and the distance between the vehicle and landmark plays an important role in landmark localization accuracy. Considering this fact, a proper constrained function that utilizes the rotation angle of the camera is applied between multiple landmark location estimates and the best estimate is selected. The simulation results show that the proposed technique is capable to pick out the best initial estimate for landmark location and improves the accuracy of state estimates in Bearing-Only SLAM.
Keywords :
SLAM (robots); mobile robots; state estimation; bearing-only SLAM algorithm; bearing-only sensor; bearing-only simultaneous localization and mapping algorithm; constrained function; delayed constrained initialization; landmark initialization; landmark localization accuracy; multiple landmark location estimates; pan-tilt camera; sequential observations; state estimates; Accuracy; Cameras; Position measurement; Simultaneous localization and mapping; Vectors; Vehicles; Bearing-Only SLAM; Constrained Initialization; Extended Kalman Filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control System, Computing and Engineering (ICCSCE), 2013 IEEE International Conference on
Conference_Location :
Mindeb
Print_ISBN :
978-1-4799-1506-4
Type :
conf
DOI :
10.1109/ICCSCE.2013.6719939
Filename :
6719939
Link To Document :
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