{"id":"https://openalex.org/W4410341713","doi":"https://doi.org/10.1109/icnc64010.2025.10993844","title":"A Neural Network Model for Autonomous Vehicles Safety Check Using Camera-only/Camera-Lidar Images","display_name":"A Neural Network Model for Autonomous Vehicles Safety Check Using Camera-only/Camera-Lidar Images","publication_year":2025,"publication_date":"2025-02-17","ids":{"openalex":"https://openalex.org/W4410341713","doi":"https://doi.org/10.1109/icnc64010.2025.10993844"},"language":"en","primary_location":{"id":"doi:10.1109/icnc64010.2025.10993844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc64010.2025.10993844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Computing, Networking and Communications (ICNC)","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/A5052260367","display_name":"Dengyi Liu","orcid":"https://orcid.org/0009-0001-8391-5921"},"institutions":[{"id":"https://openalex.org/I19772626","display_name":"Yeshiva University","ror":"https://ror.org/045x93337","country_code":"US","type":"education","lineage":["https://openalex.org/I19772626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dengyi Liu","raw_affiliation_strings":["Yeshiva University,Katz School of Health and Science,Graduate Computer Science and Engineering Department,NY,10016"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yeshiva University,Katz School of Health and Science,Graduate Computer Science and Engineering Department,NY,10016","institution_ids":["https://openalex.org/I19772626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419573","display_name":"Honggang Wang","orcid":"https://orcid.org/0000-0001-9475-2630"},"institutions":[{"id":"https://openalex.org/I19772626","display_name":"Yeshiva University","ror":"https://ror.org/045x93337","country_code":"US","type":"education","lineage":["https://openalex.org/I19772626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Honggang Wang","raw_affiliation_strings":["Yeshiva University,Katz School of Health and Science,Graduate Computer Science and Engineering Department,NY,10016"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yeshiva University,Katz School of Health and Science,Graduate Computer Science and Engineering Department,NY,10016","institution_ids":["https://openalex.org/I19772626"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084745600","display_name":"Hua Fang","orcid":"https://orcid.org/0000-0002-5026-1132"},"institutions":[{"id":"https://openalex.org/I100633361","display_name":"University of Massachusetts Dartmouth","ror":"https://ror.org/00fzmm222","country_code":"US","type":"education","lineage":["https://openalex.org/I100633361"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hua Fang","raw_affiliation_strings":["University of Massachusetts,Dept. of Computer and Information Science,Dartmouth,MA,02747"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts,Dept. of Computer and Information Science,Dartmouth,MA,02747","institution_ids":["https://openalex.org/I100633361"]}]}],"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":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"538","last_page":"543"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9973999857902527,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9932000041007996,"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":0.7089022397994995},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7052914500236511},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6563135385513306},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6336179375648499},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5695910453796387},{"id":"https://openalex.org/keywords/camera-auto-calibration","display_name":"Camera auto-calibration","score":0.49214738607406616},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.36169254779815674},{"id":"https://openalex.org/keywords/camera-resectioning","display_name":"Camera resectioning","score":0.3527034819126129},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3149210810661316},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0984673798084259}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7089022397994995},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7052914500236511},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6563135385513306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6336179375648499},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5695910453796387},{"id":"https://openalex.org/C94816000","wikidata":"https://www.wikidata.org/wiki/Q5026006","display_name":"Camera auto-calibration","level":3,"score":0.49214738607406616},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.36169254779815674},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.3527034819126129},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3149210810661316},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0984673798084259}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc64010.2025.10993844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc64010.2025.10993844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Computing, Networking and Communications (ICNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6100000143051147,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2097117768","https://openalex.org/W2115579991","https://openalex.org/W2117228865","https://openalex.org/W2151103935","https://openalex.org/W2171590421","https://openalex.org/W2897529137","https://openalex.org/W2963727135","https://openalex.org/W2968296999","https://openalex.org/W3003618643","https://openalex.org/W3008105217","https://openalex.org/W3034314779","https://openalex.org/W3035172746","https://openalex.org/W3035254347","https://openalex.org/W3035574168","https://openalex.org/W3043075211","https://openalex.org/W3171032126","https://openalex.org/W3172261075","https://openalex.org/W3187011621","https://openalex.org/W3193142144","https://openalex.org/W3193939309","https://openalex.org/W3204439495","https://openalex.org/W3215100485","https://openalex.org/W4281679697","https://openalex.org/W4288358289","https://openalex.org/W4297821019","https://openalex.org/W4312501532","https://openalex.org/W4366213854","https://openalex.org/W4383066393","https://openalex.org/W4385804922","https://openalex.org/W6637373629","https://openalex.org/W6762207098","https://openalex.org/W6783596713","https://openalex.org/W6799331316","https://openalex.org/W6800044047","https://openalex.org/W6802311648","https://openalex.org/W6852177738"],"related_works":["https://openalex.org/W2785097492","https://openalex.org/W2118427684","https://openalex.org/W2378222798","https://openalex.org/W2052984831","https://openalex.org/W2061162617","https://openalex.org/W2391933270","https://openalex.org/W227461850","https://openalex.org/W1503004767","https://openalex.org/W1970302691","https://openalex.org/W2392935764"],"abstract_inverted_index":{"Camera":[0],"and":[1,17,75,98,117,134],"LiDAR":[2,102],"sensors":[3],"play":[4],"a":[5,39,45,57,77,91],"crucial":[6],"role":[7],"in":[8,20,149],"vehicle":[9,121],"perception":[10],"systems,":[11],"enabling":[12,145],"accurate":[13],"detection":[14],"of":[15,31,109,119,136],"obstacles":[16],"other":[18],"vehicles":[19],"autonomous":[21,120,137],"driving":[22,138],"technologies.":[23],"Despite":[24],"their":[25],"complementary":[26],"advantages,":[27],"ensuring":[28,140],"the":[29,72,107,115,127,132],"reliability":[30,93],"camera":[32,49,96],"data":[33,50,80,97,143],"under":[34],"varying":[35],"environmental":[36],"conditions":[37],"poses":[38],"significant":[40],"challenge.":[41],"This":[42],"paper":[43],"introduces":[44],"novel":[46],"system":[47,105],"for":[48,95],"consistency":[51,59,81],"checking":[52,60,82],"through":[53],"two":[54],"methods:":[55],"(1)":[56],"camera-only":[58],"mechanism":[61],"utilizing":[62],"an":[63],"effective":[64],"point-to-point":[65],"feature":[66],"extraction":[67],"neural":[68],"network":[69],"inspired":[70],"by":[71,139],"D2-Net":[73],"method,":[74],"(2)":[76],"camera-LiDAR":[78],"fusion":[79,87],"approach":[83],"employing":[84],"advanced":[85],"sensor":[86,111,142],"techniques.":[88],"By":[89],"integrating":[90],"critical":[92],"check":[94],"fusing":[99],"it":[100],"with":[101],"information,":[103],"our":[104],"leverages":[106],"strengths":[108],"both":[110],"types":[112],"to":[113],"enhance":[114],"robustness":[116],"efficiency":[118],"navigation.":[122],"Experimental":[123],"results":[124],"demonstrate":[125],"that":[126],"proposed":[128],"methods":[129],"significantly":[130],"improve":[131],"safety":[133],"performance":[135],"reliable":[141],"fusion,":[144],"safe":[146],"navigation":[147],"even":[148],"challenging":[150],"environments.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
