{"id":"https://openalex.org/W3014060096","doi":"https://doi.org/10.1109/rcar47638.2019.9044119","title":"An ANN-based Real-time Unstructured Road Detection Approach under Time-varying Illumination","display_name":"An ANN-based Real-time Unstructured Road Detection Approach under Time-varying Illumination","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W3014060096","doi":"https://doi.org/10.1109/rcar47638.2019.9044119","mag":"3014060096"},"language":"en","primary_location":{"id":"doi:10.1109/rcar47638.2019.9044119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar47638.2019.9044119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Real-time Computing and Robotics (RCAR)","raw_type":"proceedings-article"},"type":"article","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/A5109454579","display_name":"Mingyue Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mingyue Zhu","raw_affiliation_strings":["Tianjin Key Laboratory of Intelligent Robotics, Tianjin"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Intelligent Robotics, Tianjin","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100608721","display_name":"Hongpeng Wang","orcid":"https://orcid.org/0000-0001-8108-2674"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongpeng Wang","raw_affiliation_strings":["Tianjin Key Laboratory of Intelligent Robotics, Tianjin"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Intelligent Robotics, Tianjin","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100702602","display_name":"Pengpeng Li","orcid":"https://orcid.org/0000-0002-1154-8114"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pengpeng Li","raw_affiliation_strings":["Tianjin Key Laboratory of Intelligent Robotics, Tianjin"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Intelligent Robotics, Tianjin","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030233306","display_name":"Jingtai Liu","orcid":"https://orcid.org/0000-0003-2645-5655"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingtai Liu","raw_affiliation_strings":["Tianjin Key Laboratory of Intelligent Robotics, Tianjin"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Intelligent Robotics, Tianjin","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5109454579"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.24086953,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"293","last_page":"298"},"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":0.9991999864578247,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7950831651687622},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.7548650503158569},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6295786499977112},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6124165058135986},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5594954490661621},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5401098132133484},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5145236849784851},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5125603675842285},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5070478916168213},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4118432104587555},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.354388564825058}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7950831651687622},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.7548650503158569},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6295786499977112},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6124165058135986},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5594954490661621},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5401098132133484},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5145236849784851},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5125603675842285},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5070478916168213},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4118432104587555},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.354388564825058},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rcar47638.2019.9044119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar47638.2019.9044119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Real-time Computing and Robotics (RCAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1669331714","https://openalex.org/W2008510196","https://openalex.org/W2026520611","https://openalex.org/W2042529455","https://openalex.org/W2052197411","https://openalex.org/W2076426145","https://openalex.org/W2078706275","https://openalex.org/W2097825766","https://openalex.org/W2109815793","https://openalex.org/W2138361487","https://openalex.org/W2309023958","https://openalex.org/W2505004417","https://openalex.org/W2605163481","https://openalex.org/W2619089354","https://openalex.org/W2741366606","https://openalex.org/W2770960011","https://openalex.org/W2791440580","https://openalex.org/W2813036631","https://openalex.org/W6656565719","https://openalex.org/W6674459913"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W2387293848","https://openalex.org/W2250140200","https://openalex.org/W3121791438"],"abstract_inverted_index":{"Road":[0],"detection":[1,36,44],"is":[2],"a":[3,72],"key":[4],"problem":[5],"in":[6,24,45],"the":[7,17,69,92,108,113,117],"application":[8],"of":[9,16,123],"autonomous":[10],"driving":[11],"and":[12,40,80,121,129],"navigation.":[13],"However,":[14],"most":[15],"recent":[18],"approaches":[19],"only":[20],"obtain":[21],"reliable":[22],"results":[23],"certain":[25],"well-arranged":[26],"scenes.":[27,47],"In":[28],"this":[29],"paper,":[30],"we":[31,49,67,90],"propose":[32],"an":[33,51],"online-learning":[34],"road":[35,43],"method":[37,56,103],"for":[38,58],"robust":[39],"real-time":[41,118],"unstructured":[42],"challenging":[46,114],"Firstly,":[48],"describe":[50],"improved":[52],"adaptive":[53,106],"gamma":[54],"correction":[55],"compensate":[57],"nonuniform":[59],"illumination":[60,128],"under":[61],"rapidly":[62],"changing":[63],"illuminate":[64],"conditions.":[65],"Then":[66],"divide":[68],"image":[70],"with":[71],"grid":[73],"into":[74],"suitable":[75],"sized":[76],"rectangular":[77],"regions":[78],"(cells),":[79],"some":[81],"few":[82],"cells":[83],"are":[84],"labeled":[85],"as":[86],"train/test":[87],"samples.":[88],"Finally,":[89],"adopt":[91],"online":[93],"learning":[94],"process":[95],"through":[96],"artificial":[97],"neural":[98],"networks":[99],"so":[100],"that":[101],"our":[102,124],"can":[104],"be":[105],"to":[107,126],"varied":[109,127],"environment.":[110],"Experiments":[111],"on":[112],"database":[115],"demonstrate":[116],"capability,":[119],"adaptability":[120],"reliability":[122],"approach":[125],"complex":[130],"scenarios.":[131]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}