DocumentCode :
677344
Title :
Data fusion method for underwater object localization
Author :
Yun Lu ; Weijia Li ; Xiao Wang
Author_Institution :
Sch. of Naval Archit. & Ocean Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear :
2013
fDate :
26-28 Aug. 2013
Firstpage :
875
Lastpage :
879
Abstract :
Underwater small type robot has advantage with its small size, but the number and type of sensors needed to be designed carefully as its limited payload, including the method of object positioning. For the positioning of underwater target, proximate sensor is developed and the problem of data association in multi-sensors fusion is also discussed in the paper. Finally, the simulation tests show that the fusion method takes advantage of the complementary properties of the two sensors, and meets the requirements of underwater position on miniaturization, reliability and real-time.
Keywords :
mobile robots; object recognition; position control; robot vision; sensor fusion; underwater vehicles; data association; data fusion method; multisensors fusion; object positioning; proximate sensor; underwater object localization; underwater small type robot; underwater target positioning; Data integration; Image sensors; Manipulators; Robot sensing systems; Sensor fusion; Data association; Data fusion; Proximate sensor; Underwater; Vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation (ICIA), 2013 IEEE International Conference on
Conference_Location :
Yinchuan
Type :
conf
DOI :
10.1109/ICInfA.2013.6720417
Filename :
6720417
Link To Document :
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