{"id":"https://openalex.org/W2055033800","doi":"https://doi.org/10.1109/icinfa.2013.6720465","title":"Road detection at night based on a planar reflection model","display_name":"Road detection at night based on a planar reflection model","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2055033800","doi":"https://doi.org/10.1109/icinfa.2013.6720465","mag":"2055033800"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2013.6720465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2013.6720465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Information and Automation (ICIA)","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/A5046996143","display_name":"Cheng Tang","orcid":"https://orcid.org/0009-0009-9238-0445"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Tang","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Chinese Academy of Sciences, Shenzhen, China","Guangdong Provincial Key Lab. of Robot. & Intell. Syst., Shenzhen Inst. of Adv. Technol., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210104064"]},{"raw_affiliation_string":"Guangdong Provincial Key Lab. of Robot. & Intell. Syst., Shenzhen Inst. of Adv. Technol., Shenzhen, China","institution_ids":["https://openalex.org/I158809036"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033457092","display_name":"Qunqun Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qunqun Xie","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Chinese Academy of Sciences, Shenzhen, China","Guangdong Provincial Key Lab. of Robot. & Intell. Syst., Shenzhen Inst. of Adv. Technol., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210104064"]},{"raw_affiliation_string":"Guangdong Provincial Key Lab. of Robot. & Intell. Syst., Shenzhen Inst. of Adv. Technol., Shenzhen, China","institution_ids":["https://openalex.org/I158809036"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072069355","display_name":"Guolai Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guolai Jiang","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Chinese Academy of Sciences, Shenzhen, China","Guangdong Provincial Key Lab. of Robot. & Intell. Syst., Shenzhen Inst. of Adv. Technol., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210104064"]},{"raw_affiliation_string":"Guangdong Provincial Key Lab. of Robot. & Intell. Syst., Shenzhen Inst. of Adv. Technol., Shenzhen, China","institution_ids":["https://openalex.org/I158809036"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066181483","display_name":"Yongsheng Ou","orcid":"https://orcid.org/0000-0003-2998-267X"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongsheng Ou","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Chinese Academy of Sciences, Shenzhen, China","Guangdong Provincial Key Lab. of Robot. & Intell. Syst., Shenzhen Inst. of Adv. Technol., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210104064"]},{"raw_affiliation_string":"Guangdong Provincial Key Lab. of Robot. & Intell. Syst., Shenzhen Inst. of Adv. Technol., Shenzhen, China","institution_ids":["https://openalex.org/I158809036"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112309496","display_name":"Yangsheng Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yangsheng Xu","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong SAR, China","Chinese Univ. of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Chinese Univ. of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"1130","last_page":"1134"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9980999827384949,"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":0.9980999827384949,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.8299558758735657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7249503135681152},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7214389443397522},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.7074378728866577},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6900777220726013},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6488568782806396},{"id":"https://openalex.org/keywords/planar","display_name":"Planar","score":0.5763347148895264},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.5626700520515442},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5292876362800598},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.5216739177703857},{"id":"https://openalex.org/keywords/road-surface","display_name":"Road surface","score":0.5184073448181152},{"id":"https://openalex.org/keywords/night-vision","display_name":"Night vision","score":0.450398325920105},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.41657087206840515},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.2320435643196106},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.21776366233825684},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17879325151443481},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.15111953020095825},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1219397783279419},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09013974666595459}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8299558758735657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7249503135681152},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7214389443397522},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.7074378728866577},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6900777220726013},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6488568782806396},{"id":"https://openalex.org/C134786449","wikidata":"https://www.wikidata.org/wiki/Q3391255","display_name":"Planar","level":2,"score":0.5763347148895264},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.5626700520515442},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5292876362800598},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.5216739177703857},{"id":"https://openalex.org/C2780042925","wikidata":"https://www.wikidata.org/wiki/Q1049667","display_name":"Road surface","level":2,"score":0.5184073448181152},{"id":"https://openalex.org/C2983470273","wikidata":"https://www.wikidata.org/wiki/Q5353651","display_name":"Night vision","level":2,"score":0.450398325920105},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.41657087206840515},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.2320435643196106},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.21776366233825684},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17879325151443481},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.15111953020095825},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1219397783279419},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09013974666595459},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icinfa.2013.6720465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2013.6720465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Information and Automation (ICIA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W97351935","https://openalex.org/W1508960934","https://openalex.org/W1924453835","https://openalex.org/W2014337138","https://openalex.org/W2104587129","https://openalex.org/W2106710596","https://openalex.org/W2115574509","https://openalex.org/W2122585444","https://openalex.org/W2133059825","https://openalex.org/W2137545186","https://openalex.org/W2168519618","https://openalex.org/W2173524678","https://openalex.org/W2286014486","https://openalex.org/W4232290346","https://openalex.org/W6680096826"],"related_works":["https://openalex.org/W2802018156","https://openalex.org/W4313315626","https://openalex.org/W2101531944","https://openalex.org/W4298149443","https://openalex.org/W2922437833","https://openalex.org/W2100052226","https://openalex.org/W4312696271","https://openalex.org/W2933098581","https://openalex.org/W2556125083","https://openalex.org/W4223892596"],"abstract_inverted_index":{"For":[0],"surveillance":[1],"robots,":[2],"road":[3,23,32,53,93],"detection":[4,24,54],"is":[5,25,62],"of":[6,69],"high":[7],"importance":[8],"for":[9,43],"other":[10],"functionalities":[11],"such":[12],"as":[13],"pedestrian":[14],"detection,":[15],"obstacle":[16],"avoidance,":[17],"autonomous":[18],"running,":[19],"etc.":[20],"The":[21,109],"vision-based":[22],"to":[26,31,37,64,85,91],"classify":[27],"image":[28],"pixels":[29,72],"belonging":[30],"surface":[33,94],"or":[34,95],"not.":[35,96],"Up":[36],"now,":[38],"most":[39],"algorithms":[40],"are":[41],"designed":[42],"working":[44],"during":[45],"daytime.":[46],"In":[47,97],"this":[48],"paper,":[49],"we":[50,80,100],"focus":[51],"on":[52],"at":[55],"night.":[56],"Firstly":[57],"a":[58,75,82],"planar":[59],"reflection":[60],"model":[61],"used":[63],"fit":[65],"the":[66,70,88,92,98,105],"intensity":[67],"distribution":[68],"images":[71],"got":[73],"from":[74],"near-infrared":[76],"camera.":[77],"After":[78],"that,":[79],"use":[81],"pixel-based":[83],"classification":[84],"determine":[86],"whether":[87],"pixel":[89],"belongs":[90],"experiments,":[99],"compare":[101],"our":[102,113],"algorithm":[103],"with":[104],"region":[106],"growing":[107],"method.":[108],"results":[110],"show":[111],"that":[112],"approach":[114],"works":[115],"better":[116],"in":[117],"several":[118],"aspects.":[119]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}