Fully Bayesian Prediction Algorithms for Mobile Robotic Sensors under Uncertain Localization Using Gaussian Markov Random Fields.

Jadaliha, Mahdi; Jeong, Jinho; Xu, Yunfei; Choi, Jongeun; Kim, Junghoon

Jadaliha, Mahdi; Jeong, Jinho; Xu, Yunfei; Choi, Jongeun; Kim, Junghoon.

Afiliação

Jadaliha M; Monsanto, St. Louis, MO 63146, USA. jadaliha@gmail.com.
Jeong J; School of Mechanical Engineering, Yonsei University, Seoul 03722, Korea. jinhojeong@yonsei.ac.kr.
Xu Y; Denso International America, Inc., San Jose, CA 95110, USA. feiyun.xu@gmail.com.
Choi J; School of Mechanical Engineering, Yonsei University, Seoul 03722, Korea. jongeunchoi@yonsei.ac.kr.
Kim J; Department of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Korea. junghoon@yonsei.ac.kr.

Sensors (Basel) ; 18(9)2018 Aug 30.

Article em En | MEDLINE | ID: mdl-30200257

Palavras-chave

Gaussian markov random field; fully Bayesian; localization uncertainty; mobile sensor network

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

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