{"id":"https://openalex.org/W4409158032","doi":"https://doi.org/10.1145/3690624.3709410","title":"Roadside Multi-LiDAR Data Fusion for Enhanced Traffic Safety","display_name":"Roadside Multi-LiDAR Data Fusion for Enhanced Traffic Safety","publication_year":2025,"publication_date":"2025-04-04","ids":{"openalex":"https://openalex.org/W4409158032","doi":"https://doi.org/10.1145/3690624.3709410"},"language":"en","primary_location":{"id":"doi:10.1145/3690624.3709410","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3690624.3709410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","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/A5086046043","display_name":"Md Parvez Mollah","orcid":"https://orcid.org/0000-0002-7131-1354"},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Parvez Mollah","raw_affiliation_strings":["The University of New Mexico, Albuquerque, New Mexico, USA"],"raw_orcid":"https://orcid.org/0000-0002-7131-1354","affiliations":[{"raw_affiliation_string":"The University of New Mexico, Albuquerque, New Mexico, USA","institution_ids":["https://openalex.org/I169521973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046274165","display_name":"Biplob Debnath","orcid":"https://orcid.org/0009-0006-6932-0311"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Biplob Debnath","raw_affiliation_strings":["NEC Laboratories America, Inc., Princeton, New Jersey, USA"],"raw_orcid":"https://orcid.org/0009-0006-6932-0311","affiliations":[{"raw_affiliation_string":"NEC Laboratories America, Inc., Princeton, New Jersey, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017337762","display_name":"Murugan Sankaradas","orcid":"https://orcid.org/0000-0002-4608-1630"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Murugan Sankaradas","raw_affiliation_strings":["NEC Laboratories America, Inc., Princeton, New Jersey, USA"],"raw_orcid":"https://orcid.org/0000-0002-4608-1630","affiliations":[{"raw_affiliation_string":"NEC Laboratories America, Inc., Princeton, New Jersey, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042424184","display_name":"Srimat Chakradhar","orcid":"https://orcid.org/0000-0003-3530-3901"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Srimat Chakradhar","raw_affiliation_strings":["NEC Laboratories America, Inc., Princeton, New Jersey, USA"],"raw_orcid":"https://orcid.org/0000-0003-3530-3901","affiliations":[{"raw_affiliation_string":"NEC Laboratories America, Inc., Princeton, New Jersey, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025138797","display_name":"Abdullah Mueen","orcid":"https://orcid.org/0000-0002-4839-1624"},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abdullah Mueen","raw_affiliation_strings":["The University of New Mexico, Albuquerque, New Mexico, USA"],"raw_orcid":"https://orcid.org/0000-0002-4839-1624","affiliations":[{"raw_affiliation_string":"The University of New Mexico, Albuquerque, New Mexico, USA","institution_ids":["https://openalex.org/I169521973"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6472,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87286325,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2469","last_page":"2479"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.8353320956230164},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.511134684085846},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5096204280853271},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.46662700176239014},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.43555307388305664},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.42176949977874756},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1472242772579193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11713284254074097}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8353320956230164},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.511134684085846},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5096204280853271},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.46662700176239014},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.43555307388305664},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.42176949977874756},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1472242772579193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11713284254074097},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3690624.3709410","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3690624.3709410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1507636326","https://openalex.org/W2049981393","https://openalex.org/W2071527717","https://openalex.org/W2089080831","https://openalex.org/W2119835630","https://openalex.org/W2120939361","https://openalex.org/W2134236847","https://openalex.org/W2150066425","https://openalex.org/W2163615327","https://openalex.org/W2612690371","https://openalex.org/W2774653742","https://openalex.org/W2785754193","https://openalex.org/W2794631752","https://openalex.org/W2896911799","https://openalex.org/W2909746114","https://openalex.org/W2955484384","https://openalex.org/W3006936513","https://openalex.org/W3014883200","https://openalex.org/W3126945873","https://openalex.org/W3209905867","https://openalex.org/W4221161046","https://openalex.org/W4235169531","https://openalex.org/W4306317839","https://openalex.org/W4385324481"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2351984678","https://openalex.org/W2140032575","https://openalex.org/W2011860471","https://openalex.org/W2012196540","https://openalex.org/W3011451421","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Roadside":[0],"LiDAR":[1],"(Light":[2],"Detection":[3],"and":[4,9,13,18,66,79],"Ranging)":[5],"sensors":[6,75],"promise":[7],"safer":[8],"faster":[10],"traffic":[11,40,45,85],"management":[12],"vehicular":[14],"operations.":[15],"However,":[16],"occlusion":[17],"small":[19],"view":[20],"angles":[21],"are":[22,80],"significant":[23],"challenges":[24],"to":[25,42,59],"widespread":[26],"use":[27],"of":[28],"roadside":[29],"LiDARs.":[30],"We":[31],"consider":[32],"fusing":[33],"data":[34],"from":[35,51],"multiple":[36,61],"LiDARs":[37,62],"at":[38],"a":[39,52,84],"intersection":[41],"better":[43],"estimate":[44,50],"parameters":[46],"than":[47],"one":[48],"can":[49],"single":[53],"LiDAR.":[54],"The":[55,68],"key":[56],"challenge":[57],"is":[58,70],"calibrate":[60],"both":[63],"in":[64,77],"time":[65],"space.":[67],"problem":[69],"more":[71],"complex":[72],"when":[73],"heterogeneous":[74],"differ":[76],"resolution":[78],"positioned":[81],"arbitrarily":[82],"on":[83],"intersection.":[86]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
