{"id":"https://openalex.org/W4399801051","doi":"https://doi.org/10.1109/ichms59971.2024.10555757","title":"A Dual-Modality Pedestrian Detection Method Based on Multi-Scale Feature Fusion","display_name":"A Dual-Modality Pedestrian Detection Method Based on Multi-Scale Feature Fusion","publication_year":2024,"publication_date":"2024-05-15","ids":{"openalex":"https://openalex.org/W4399801051","doi":"https://doi.org/10.1109/ichms59971.2024.10555757"},"language":"en","primary_location":{"id":"doi:10.1109/ichms59971.2024.10555757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichms59971.2024.10555757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5029307442","display_name":"Huanyu Yang","orcid":"https://orcid.org/0009-0003-5060-2157"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanyu Yang","raw_affiliation_strings":["Nanjing University of Science and Technology,College of Automation,Nanjing,China","College of Automation, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,College of Automation,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"College of Automation, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035925592","display_name":"Bian Weiwei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117825","display_name":"Beijing Research Institute of Mechanical and Electrical Technology","ror":"https://ror.org/02bjnsn63","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210117825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Bian","raw_affiliation_strings":["Beijing Institute of Mechanical Equipment,Beijing,China","Beijing Institute of Mechanical Equipment, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Mechanical Equipment,Beijing,China","institution_ids":["https://openalex.org/I4210117825"]},{"raw_affiliation_string":"Beijing Institute of Mechanical Equipment, Beijing, China","institution_ids":["https://openalex.org/I4210117825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100315010","display_name":"Jun Wang","orcid":"https://orcid.org/0009-0008-4337-8405"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["Nanjing University of Science and Technology,College of Automation,Nanjing,China","College of Automation, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,College of Automation,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"College of Automation, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001465584","display_name":"Yuming Bo","orcid":"https://orcid.org/0000-0002-7508-5083"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuming Bo","raw_affiliation_strings":["Nanjing University of Science and Technology,College of Automation,Nanjing,China","College of Automation, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,College of Automation,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"College of Automation, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101337129","display_name":"Ying Mi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117825","display_name":"Beijing Research Institute of Mechanical and Electrical Technology","ror":"https://ror.org/02bjnsn63","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210117825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Mi","raw_affiliation_strings":["China Beijing Mechanical Equipment Research Institute,Beijing,China","China Beijing Mechanical Equipment Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Beijing Mechanical Equipment Research Institute,Beijing,China","institution_ids":["https://openalex.org/I4210117825"]},{"raw_affiliation_string":"China Beijing Mechanical Equipment Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210117825"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/pedestrian-detection","display_name":"Pedestrian detection","score":0.7887142896652222},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6767715811729431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6383391618728638},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5684417486190796},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5533348917961121},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5517084002494812},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5107913017272949},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.46184319257736206},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4575357735157013},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45277056097984314},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.44762417674064636},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09444671869277954},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05937516689300537}],"concepts":[{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.7887142896652222},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6767715811729431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6383391618728638},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5684417486190796},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5533348917961121},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5517084002494812},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5107913017272949},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.46184319257736206},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4575357735157013},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45277056097984314},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.44762417674064636},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09444671869277954},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05937516689300537},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ichms59971.2024.10555757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichms59971.2024.10555757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1910108985","https://openalex.org/W2932012013","https://openalex.org/W2991216808","https://openalex.org/W3103520796","https://openalex.org/W3116967329","https://openalex.org/W3213472242","https://openalex.org/W4385728398","https://openalex.org/W4385768949","https://openalex.org/W4386137413"],"related_works":["https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W2101960027","https://openalex.org/W2197846993","https://openalex.org/W49697837","https://openalex.org/W2586575957","https://openalex.org/W3122828758","https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W2515288625"],"abstract_inverted_index":{"In":[0],"urban":[1,114],"safety,":[2],"autonomous":[3],"transportation,":[4],"and":[5,56,71,89,109,115,131],"intelligent":[6],"surveillance,":[7],"advanced":[8],"pedestrian":[9,44,99,125],"detection":[10,32,45,76,100],"technology":[11],"is":[12],"crucial.":[13],"Current":[14],"methods":[15],"based":[16],"on":[17],"visible":[18,69],"light":[19,70],"imaging":[20],"face":[21],"limitations":[22],"in":[23,77,98,124],"low-light":[24],"or":[25],"adverse":[26],"weather":[27],"conditions,":[28],"leading":[29],"to":[30,74],"reduced":[31],"accuracy.":[33],"To":[34],"address":[35],"these":[36],"challenges,":[37],"this":[38],"paper":[39],"introduces":[40],"a":[41,95,106,121],"novel":[42],"dual-modality":[43,66],"method":[46],"using":[47],"the":[48],"YOLOv7":[49],"model,":[50],"enhanced":[51],"with":[52],"Modality":[53,58],"Alignment":[54],"(MA)":[55],"Differential":[57],"Fusion":[59],"(DMF)":[60],"modules.":[61],"These":[62],"modules":[63],"efficiently":[64],"utilize":[65],"data,":[67],"combining":[68],"infrared":[72],"imaging,":[73],"improve":[75],"various":[78],"environmental":[79],"conditions.":[80],"An":[81],"integrated":[82],"Mix":[83],"module":[84],"further":[85],"enhances":[86],"feature":[87,129],"extraction":[88],"fusion.":[90],"The":[91],"proposed":[92],"approach":[93],"demonstrates":[94],"marked":[96],"improvement":[97],"accuracy":[101],"across":[102],"diverse":[103],"scenarios,":[104],"offering":[105],"more":[107],"robust":[108],"adaptive":[110],"solution":[111],"for":[112],"complex":[113],"rural":[116],"environments.":[117],"This":[118],"advancement":[119],"signifies":[120],"significant":[122],"leap":[123],"detection,":[126],"leveraging":[127],"multi-scale":[128],"fusion":[130],"innovative":[132],"algorithmic":[133],"strategies.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}