{"id":"https://openalex.org/W7133323836","doi":"https://doi.org/10.1016/j.engappai.2026.114367","title":"A weak-alignment multi-sensor fusion method for object detection using visible, thermal infrared, and radar data","display_name":"A weak-alignment multi-sensor fusion method for object detection using visible, thermal infrared, and radar data","publication_year":2026,"publication_date":"2026-03-03","ids":{"openalex":"https://openalex.org/W7133323836","doi":"https://doi.org/10.1016/j.engappai.2026.114367"},"language":"en","primary_location":{"id":"doi:10.1016/j.engappai.2026.114367","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.engappai.2026.114367","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128010276","display_name":"Xiaoyuan Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyuan Liang","raw_affiliation_strings":["University of Science and Technology Beijing, Xueyuan Road, Haidian District, Beijing 100083, China"],"raw_orcid":"https://orcid.org/0009-0009-3066-1372","affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing, Xueyuan Road, Haidian District, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082723081","display_name":"Ruicong Zhi","orcid":"https://orcid.org/0000-0002-6913-4248"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruicong Zhi","raw_affiliation_strings":["University of Science and Technology Beijing, Xueyuan Road, Haidian District, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing, Xueyuan Road, Haidian District, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5127996566","display_name":"Lu Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Jia","raw_affiliation_strings":["University of Science and Technology Beijing, Xueyuan Road, Haidian District, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing, Xueyuan Road, Haidian District, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5082723081"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":{"value":3170,"currency":"USD","value_usd":3170},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33155204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"172","issue":null,"first_page":"114367","last_page":"114367"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.1680999994277954,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.1680999994277954,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.04190000146627426,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11856","display_name":"Thermography and Photoacoustic Techniques","score":0.032999999821186066,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6862999796867371},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5424000024795532},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.49779999256134033},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.43650001287460327},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4352000057697296},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.39329999685287476},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.36579999327659607},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.34310001134872437},{"id":"https://openalex.org/keywords/fusion-mechanism","display_name":"Fusion mechanism","score":0.3330000042915344}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8373000025749207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7099000215530396},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6862999796867371},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6751000285148621},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5424000024795532},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.49779999256134033},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.43650001287460327},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4352000057697296},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.43230000138282776},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.39329999685287476},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.36579999327659607},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.34310001134872437},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.3330000042915344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33239999413490295},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.33079999685287476},{"id":"https://openalex.org/C2984335091","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Thermal infrared","level":3,"score":0.3271999955177307},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.32109999656677246},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.31929999589920044},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.3165999948978424},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.29600000381469727},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.2734000086784363},{"id":"https://openalex.org/C204530211","wikidata":"https://www.wikidata.org/wiki/Q752823","display_name":"Thermal","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C104663316","wikidata":"https://www.wikidata.org/wiki/Q76299","display_name":"Visible spectrum","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.engappai.2026.114367","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.engappai.2026.114367","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W3128655704","https://openalex.org/W3188723794","https://openalex.org/W4206913723","https://openalex.org/W4213081985","https://openalex.org/W4229002088","https://openalex.org/W4317915322","https://openalex.org/W4320036619","https://openalex.org/W4365420256","https://openalex.org/W4367663172","https://openalex.org/W4383109290","https://openalex.org/W4386065453","https://openalex.org/W4387452036","https://openalex.org/W4387490197","https://openalex.org/W4387831882","https://openalex.org/W4387971938","https://openalex.org/W4389625276","https://openalex.org/W4390787329","https://openalex.org/W4391365646","https://openalex.org/W4398249126","https://openalex.org/W4399311029","https://openalex.org/W4401210380","https://openalex.org/W4401657013","https://openalex.org/W4402488210","https://openalex.org/W4402636078","https://openalex.org/W4402901038","https://openalex.org/W4402924343","https://openalex.org/W4404061011","https://openalex.org/W4405179198","https://openalex.org/W4405782925","https://openalex.org/W4407686138","https://openalex.org/W4408437486","https://openalex.org/W4408651822","https://openalex.org/W4408697786","https://openalex.org/W4409640590","https://openalex.org/W4409904069","https://openalex.org/W4410449568","https://openalex.org/W4410949632","https://openalex.org/W4411260472","https://openalex.org/W4413359356","https://openalex.org/W4416078359","https://openalex.org/W4416118868","https://openalex.org/W4416798340","https://openalex.org/W7115901595","https://openalex.org/W7123447851","https://openalex.org/W7126238818"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-03-05T07:30:30.508283","created_date":"2026-03-04T00:00:00"}
