{"id":"https://openalex.org/W4327520914","doi":"https://doi.org/10.1145/3573428.3573744","title":"Abnormal behavior detection method of highway vehicle based on BP neural network","display_name":"Abnormal behavior detection method of highway vehicle based on BP neural network","publication_year":2022,"publication_date":"2022-10-21","ids":{"openalex":"https://openalex.org/W4327520914","doi":"https://doi.org/10.1145/3573428.3573744"},"language":"en","primary_location":{"id":"doi:10.1145/3573428.3573744","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3573428.3573744","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3573428.3573744","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3573428.3573744","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006136823","display_name":"Lulu Liu","orcid":"https://orcid.org/0000-0002-5930-1700"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lulu Liu","raw_affiliation_strings":["Information and Archives Center, Chinese Flight Test Establishment, China"],"raw_orcid":"https://orcid.org/0000-0002-5930-1700","affiliations":[{"raw_affiliation_string":"Information and Archives Center, Chinese Flight Test Establishment, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030156949","display_name":"Zengqiang Hui","orcid":"https://orcid.org/0000-0003-4608-8557"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zengqiang Hui","raw_affiliation_strings":["Research and Development Dapartment, Chinese Flight Test Establishment, China"],"raw_orcid":"https://orcid.org/0000-0003-4608-8557","affiliations":[{"raw_affiliation_string":"Research and Development Dapartment, Chinese Flight Test Establishment, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34893564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1795","last_page":"1800"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9973000288009644,"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/T11106","display_name":"Data Management and Algorithms","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.8670211434364319},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6997787952423096},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6903964281082153},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6281145215034485},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5030991435050964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49575409293174744},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.458278626203537},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4459284245967865},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4138081669807434},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39137643575668335},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3462064266204834},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.33408665657043457},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13010352849960327}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8670211434364319},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6997787952423096},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6903964281082153},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6281145215034485},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5030991435050964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49575409293174744},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.458278626203537},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4459284245967865},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4138081669807434},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39137643575668335},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3462064266204834},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.33408665657043457},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13010352849960327},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3573428.3573744","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3573428.3573744","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3573428.3573744","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3573428.3573744","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3573428.3573744","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3573428.3573744","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4327520914.pdf","grobid_xml":"https://content.openalex.org/works/W4327520914.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W1748642218","https://openalex.org/W2023622049","https://openalex.org/W2026493302","https://openalex.org/W2048389468","https://openalex.org/W2126194848","https://openalex.org/W2152204876","https://openalex.org/W2167225252","https://openalex.org/W2298580429","https://openalex.org/W6657238249"],"related_works":["https://openalex.org/W1504288058","https://openalex.org/W2331674254","https://openalex.org/W2811390910","https://openalex.org/W2167293474","https://openalex.org/W2146076056","https://openalex.org/W2546942002","https://openalex.org/W2534909612","https://openalex.org/W2016461833","https://openalex.org/W2382607599","https://openalex.org/W3197541072"],"abstract_inverted_index":{"By":[0],"studying":[1],"the":[2,7,9,53,59,66,70,80,90,97,104,108,113,118,129,136,141,148,152,158,161,170,180],"trajectory":[3,33,98,114,139],"of":[4,52,69,107,140,154,172,182],"vehicles":[5],"on":[6,12,75],"highway,":[8],"analysis":[10],"focuses":[11],"potentially":[13],"dangerous":[14],"traffic":[15,76],"accidents":[16],"such":[17],"as":[18,103,133],"retrograde,":[19],"parking,":[20],"U-turns":[21],"(left":[22],"and":[23,27,58,96],"right":[24],"turns),":[25],"speeding":[26],"so":[28,132],"on.":[29],"The":[30,50,121,143,174],"complex":[31],"vehicle":[32,83,155,184],"is":[34,62,94,165],"summarized":[35],"into":[36],"six":[37],"categories,":[38],"namely:":[39],"going":[40],"straight,":[41],"reversing,":[42],"turning":[43,45],"left,":[44],"right,":[46],"speeding,":[47],"parking":[48],"illegally.":[49],"features":[51],"involved":[54],"objects":[55],"are":[56,101,125],"extracted":[57],"mathematical":[60],"model":[61],"established":[63],"according":[64],"to":[65,78,127,134,167],"driving":[67],"behavior":[68,85,138,185],"vehicles.":[71],"Using":[72],"video":[73],"based":[74],"events":[77],"create":[79],"multi-weather,":[81],"multi-scenario":[82],"abnormal":[84,137,183],"detection":[86,181],"dataset.":[87],"And":[88],"then":[89],"BP":[91,109,162],"neural":[92,110],"network":[93,111,163],"used,":[95],"feature":[99],"attributes":[100],"used":[102,166],"input":[105],"layer":[106,123],"algorithm,":[112],"similarity":[115],"measurement":[116],"valuesare":[117],"output":[119],"layer.":[120],"hidden":[122],"coefficients":[124],"adjusted":[126],"obtain":[128],"training":[130],"model,":[131],"identify":[135],"vehicle.":[142],"experimental":[144],"results":[145],"show":[146],"that":[147],"diversified":[149],"datasets":[150],"improve":[151,169],"accuracy":[153],"detection,":[156],"at":[157],"same":[159],"time,":[160],"structure":[164],"greatly":[168],"speed":[171],"detection.":[173],"method":[175],"provides":[176],"a":[177],"reference":[178],"for":[179],"in":[186],"highway":[187],"scenes.":[188]},"counts_by_year":[],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}