DocumentCode
1615835
Title
Probabilistic Sensor Models for Multiple Objects Localization Problem
Author
Shibata, Junichi ; Yairi, Takehisa ; Kanazaki, Hirofumi ; Shirasaka, Youhei ; Machida, Kazuo
Author_Institution
Dept. of Aeronaut. & Astronaut., Tokyo Univ.
fYear
2006
Firstpage
581
Lastpage
586
Abstract
This research intends to build up the probabilistic models of three heterogeneous sensors, camera, range sensor and RFID for dealing with objects localization problems, and also aims to fulfil the sensor fusion with these models. In this paper, we describe the mathematical significance for the sensor models, and define concrete models. Then we show the effectiveness of sensor fusion with these models from the simulation
Keywords
SLAM (robots); cameras; mobile robots; object detection; probability; radiofrequency identification; sensor fusion; RFID; camera; multiple object localization problem; position estimation; probabilistic sensor model; range sensor; sensor fusion; simulation; Bayesian methods; Cameras; Concrete; Estimation theory; Mathematical model; Radiofrequency identification; Sensor fusion; Sensor phenomena and characterization; Simultaneous localization and mapping; Space technology; Bayesian theory; Position estimation; Sensor fusion; Sensor models;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE-ICASE, 2006. International Joint Conference
Conference_Location
Busan
Print_ISBN
89-950038-4-7
Electronic_ISBN
89-950038-5-5
Type
conf
DOI
10.1109/SICE.2006.315551
Filename
4108898
Link To Document