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.
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;
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
DOI :
10.1109/SICE.2006.315551
