{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T04:21:01Z","timestamp":1774930861334,"version":"3.50.1"},"reference-count":38,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2007,3,22]],"date-time":"2007-03-22T00:00:00Z","timestamp":1174521600000},"content-version":"vor","delay-in-days":6138,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Robotic Syst."],"published-print":{"date-parts":[[1990,6]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The problem of sensor integration and data fusion is addressed. We consider the problem of combining information from diversified sources in a coherent fashion. We assume that information from various sensors may be available in different forms at the fusion. For example, data from infrared (IR) sensors may be combined with range radar (RR) data and further combined with visual images. In each case, data and information from different sensors are presented in a different format which may not be directly compatible for all sensors. Part of the available information may be in the form of attributes and part in the form of dynamical measurements. A generalized evidence processing theory and an architecture for sensor integration and data fusion that accommodates diversified sources of information are presented. Data (or, more generically, information) fusion may take place at different levels, such as the level of dynamics, the level of attributes, and the level of evidence. The common and different aspects of fusion at the different levels are investigated and several practical examples of real world data fusion problems are discussed.<\/jats:p>","DOI":"10.1002\/rob.4620070305","type":"journal-article","created":{"date-parts":[[2007,7,6]],"date-time":"2007-07-06T09:48:58Z","timestamp":1183715338000},"page":"337-372","source":"Crossref","is-referenced-by-count":65,"title":["Sensor integration and data fusion"],"prefix":"10.1002","volume":"7","author":[{"given":"Stelios C. A.","family":"Thomopoulos","sequence":"first","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2007,3,22]]},"reference":[{"key":"e_1_2_1_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.1987.310858"},{"key":"e_1_2_1_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/7.7178"},{"key":"e_1_2_1_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/7.42092"},{"key":"e_1_2_1_5_2","doi-asserted-by":"crossref","unstructured":"S. C. A.Thomopoulos D. K.Bougoulias andL.Zhang \u201cOptimal and suboptimal distributed decision fusion \u201d inSPIE's 1988 Technical Symposium on Optics Electro\u2010Optics and Sensors 4\u20138 April1988 Orlando Florida.","DOI":"10.23919\/ACC.1988.4789755"},{"key":"e_1_2_1_6_2","volume-title":"22nd Annual Conference on Information Sciences and Systems","author":"Thomopoulos S. C. A.","year":"1988"},{"key":"e_1_2_1_7_2","doi-asserted-by":"crossref","unstructured":"S. C. A.Thomopoulos R.Viswanathan andD. P.Bougoulias \u201cComputable globally optimal distributed decision fusion \u201d in Conference on Decision and Control (CDC '87) pp.1846\u20131847.","DOI":"10.1109\/CDC.1987.272809"},{"key":"e_1_2_1_8_2","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1111\/j.2517-6161.1968.tb00722.x","article-title":"A generalization of Bayesian inference","volume":"30","author":"Dempster A. 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A.ThomopoulosandN.Okello \u201cDecision fusion with consulting sensors: The Gaussian Case \u201d inAmerican Control Conference ACC '88 June 15\u201317 Atlanta Georgia pp.419\u2013424."},{"key":"e_1_2_1_21_2","first-page":"4","article-title":"Distributed decision fusion with networking delays and channel errors","volume":"931","author":"Thomopoulos S. C. A.","year":"1988","journal-title":"SPIE's 1988 Technical Symposium on Optics, Electro\u2010Optics and Sensors"},{"key":"e_1_2_1_22_2","first-page":"4","article-title":"Distributed asynchronous Kalman filtering","volume":"931","author":"Thomopoulos S. C. A.","year":"1988","journal-title":"SPIE's 1988 Technical Symposium on Optics, Electro\u2010Optics and Sensors"},{"key":"e_1_2_1_23_2","doi-asserted-by":"crossref","unstructured":"S. C. 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