{"id":"https://openalex.org/W4405927770","doi":"https://doi.org/10.61173/xqj1a096","title":"Enhancing Object Detection in Autonomous Driving Under Extreme Conditions: A Comprehensive Study of Deep Learning Techniques","display_name":"Enhancing Object Detection in Autonomous Driving Under Extreme Conditions: A Comprehensive Study of Deep Learning Techniques","publication_year":2024,"publication_date":"2024-12-31","ids":{"openalex":"https://openalex.org/W4405927770","doi":"https://doi.org/10.61173/xqj1a096"},"language":"en","primary_location":{"id":"doi:10.61173/xqj1a096","doi":"https://doi.org/10.61173/xqj1a096","is_oa":true,"landing_page_url":"https://doi.org/10.61173/xqj1a096","pdf_url":"https://www.deanfrancispress.com/index.php/te/article/download/2430/2467","source":{"id":"https://openalex.org/S4387291891","display_name":"Science and Technology of Engineering Chemistry and Environmental Protection","issn_l":"2959-6157","issn":["2959-6157","2960-1339"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Science and Technology of Engineering, Chemistry and Environmental Protection","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.deanfrancispress.com/index.php/te/article/download/2430/2467","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057172974","display_name":"Zichen Zhao","orcid":"https://orcid.org/0000-0002-9799-4966","observed_orcids":["https://orcid.org/0000-0002-9799-4966"]},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zichen Zhao","raw_affiliation_strings":["School of Science , Beijing University of Civil Engineering and Architecture , Beijing , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science , Beijing University of Civil Engineering and Architecture , Beijing , China","institution_ids":["https://openalex.org/I62853816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5057172974"],"corresponding_institution_ids":["https://openalex.org/I62853816"],"apc_list":null,"apc_paid":null,"fwci":0.1091,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42465221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":"6","first_page":"4432","last_page":"4432"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.524399995803833,"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":0.524399995803833,"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":0.47360000014305115,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/object-detection","display_name":"object detection","score":0.8949999809265137},{"id":"https://openalex.org/keywords/autonomous-driving","display_name":"autonomous driving","score":0.9990000128746033},{"id":"https://openalex.org/keywords/severe-weather","display_name":"severe weather","score":0.8399999737739563},{"id":"https://openalex.org/keywords/nighttime-driving","display_name":"night driving","score":0.8859999775886536},{"id":"https://openalex.org/keywords/generative-adversarial-networks","display_name":"generative adversarial networks","score":0.843999981880188},{"id":"https://openalex.org/keywords/synthetic-data-augmentation","display_name":"synthetic data augmentation","score":0.7089999914169312},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"sensor fusion","score":0.8410000205039978},{"id":"https://openalex.org/keywords/spatial-attention-mechanism","display_name":"spatial attention mechanism","score":0.921999990940094},{"id":"https://openalex.org/keywords/image-correction","display_name":"image correction","score":0.45899999141693115}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5531288385391235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4953362047672272},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4851139783859253},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.459640771150589},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4331071674823761},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3529558777809143},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.17941775918006897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.61173/xqj1a096","doi":"https://doi.org/10.61173/xqj1a096","is_oa":true,"landing_page_url":"https://doi.org/10.61173/xqj1a096","pdf_url":"https://www.deanfrancispress.com/index.php/te/article/download/2430/2467","source":{"id":"https://openalex.org/S4387291891","display_name":"Science and Technology of Engineering Chemistry and Environmental Protection","issn_l":"2959-6157","issn":["2959-6157","2960-1339"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Science and Technology of Engineering, Chemistry and Environmental Protection","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.61173/xqj1a096","doi":"https://doi.org/10.61173/xqj1a096","is_oa":true,"landing_page_url":"https://doi.org/10.61173/xqj1a096","pdf_url":"https://www.deanfrancispress.com/index.php/te/article/download/2430/2467","source":{"id":"https://openalex.org/S4387291891","display_name":"Science and Technology of Engineering Chemistry and Environmental Protection","issn_l":"2959-6157","issn":["2959-6157","2960-1339"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Science and Technology of Engineering, Chemistry and Environmental Protection","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5378999710083008},{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.4399999976158142}],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.8199999928474426}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405927770.pdf","grobid_xml":"https://content.openalex.org/works/W4405927770.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407"],"abstract_inverted_index":{"This":[0,24],"testimonial":[1],"deals":[2],"with":[3,129],"the":[4,30,55,81,90,101,110,118,137,179,199,202,239],"issue":[5],"of":[6,36,57,67,70,120,139,160,178,183,204,241],"efficiency":[7,189],"destruction":[8],"in":[9,40,61,95,164,190,245],"deep":[10,213],"learning-driven":[11],"object":[12,58,225,242],"detection":[13,59,188,226,243],"models":[14,60,173,244],"for":[15,28,136,196,216],"autonomous":[16,37],"driving":[17],"systems":[18],"under":[19,227],"severe":[20],"and":[21,32,34,44,131,147,212],"intricate":[22,246],"conditions.":[23,46,97,230],"problem":[25],"is":[26,151],"important":[27],"boosting":[29],"safety":[31],"security":[33],"dependability":[35],"driving,":[38,198],"especially":[39],"unfavorable":[41,156],"weather":[42],"conditions":[43],"low-light":[45],"The":[47,158,231],"paper":[48,200],"methodically":[49],"examines":[50],"numerous":[51],"techniques":[52,215],"to":[53,75,174,223],"boost":[54,238],"effectiveness":[56],"difficult":[62],"atmospheres.":[63],"Trick":[64],"methods":[65],"consist":[66],"making":[68],"use":[69],"Generative":[71],"Adversarial":[72],"Networks":[73],"(GANs)":[74],"produce":[76],"artificial":[77],"wet":[78,87],"information,":[79,122,133],"improving":[80],"training":[82],"procedure":[83],"by":[84,114,143,155],"imitating":[85],"varied":[86],"circumstances":[88],"that":[89,234],"model":[91,102],"might":[92],"come":[93],"across":[94],"real-world":[96],"By":[98],"doing":[99],"so,":[100],"ends":[103],"up":[104,135],"being":[105],"extra":[106],"experienced":[107],"at":[108],"managing":[109],"aesthetic":[111],"distortions":[112],"triggered":[113],"hefty":[115],"rainfall.":[116],"Moreover,":[117],"blend":[119],"multisensor":[121],"such":[123],"as":[124],"incorporating":[125],"electronic":[126],"camera":[127],"photos":[128],"radar":[130],"LIDAR":[132],"makes":[134],"restrictions":[138],"specific":[140],"sensing":[141],"units":[142],"supplying":[144],"added":[145],"spatial":[146,161],"range":[148],"info,":[149],"which":[150],"much":[152],"less":[153],"influenced":[154],"climate.":[157],"introduction":[159],"attention":[162],"mechanisms":[163],"network":[165],"styles":[166],"likewise":[167],"plays":[168],"a":[169,184],"substantial":[170],"duty,":[171],"enabling":[172],"concentrate":[175],"on":[176],"one":[177],"most":[180],"pertinent":[181],"locations":[182],"picture,":[185],"hence":[186],"maximizing":[187],"complicated":[191],"roadway":[192],"situations.":[193],"In":[194],"addition,":[195],"nighttime":[197],"discovers":[201],"application":[203],"sophisticated":[205],"picture":[206],"correction":[207],"strategies.":[208],"Using":[209],"high-sensitivity":[210],"cams":[211],"learning-based":[214],"decreasing":[217],"headlight":[218],"glare":[219],"even":[220],"more":[221],"adds":[222],"enhanced":[224],"tough":[228],"illumination":[229],"findings":[232],"show":[233],"these":[235],"approaches":[236],"efficiently":[237],"toughness":[240],"settings.":[247]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-09-19T07:32:40.446753","created_date":"2025-10-10T00:00:00"}