{"id":"https://openalex.org/W3108190487","doi":"https://doi.org/10.1109/icspcc50002.2020.9259507","title":"Automatic Detection and Classification of Road Conditions Using Statistical Model for Autonomous Driving","display_name":"Automatic Detection and Classification of Road Conditions Using Statistical Model for Autonomous Driving","publication_year":2020,"publication_date":"2020-08-21","ids":{"openalex":"https://openalex.org/W3108190487","doi":"https://doi.org/10.1109/icspcc50002.2020.9259507","mag":"3108190487"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc50002.2020.9259507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc50002.2020.9259507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","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/A5103929304","display_name":"Ricky Yuen-Tan Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I12615008","display_name":"Beijing Normal University - Hong Kong Baptist University United International College","ror":"https://ror.org/04snvc712","country_code":"CN","type":"education","lineage":["https://openalex.org/I12615008"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ricky Yuen-Tan Hou","raw_affiliation_strings":["Division of Science and Technology, BNU-HKBU UIC, Zhu-Hai, China"],"affiliations":[{"raw_affiliation_string":"Division of Science and Technology, BNU-HKBU UIC, Zhu-Hai, China","institution_ids":["https://openalex.org/I12615008"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103929304"],"corresponding_institution_ids":["https://openalex.org/I12615008"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15671269,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9945999979972839,"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"}},"topics":[{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9945999979972839,"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"}},{"id":"https://openalex.org/T13309","display_name":"Reliability and Agreement in Measurement","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9829999804496765,"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/computer-science","display_name":"Computer science","score":0.6677809953689575},{"id":"https://openalex.org/keywords/road-traffic","display_name":"Road traffic","score":0.5623025298118591},{"id":"https://openalex.org/keywords/statistical-analysis","display_name":"Statistical analysis","score":0.5118369460105896},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.40648967027664185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3577314019203186},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33250659704208374},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22375532984733582},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0879770815372467},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0765928328037262}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6677809953689575},{"id":"https://openalex.org/C2985695025","wikidata":"https://www.wikidata.org/wiki/Q4323994","display_name":"Road traffic","level":2,"score":0.5623025298118591},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.5118369460105896},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.40648967027664185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3577314019203186},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33250659704208374},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22375532984733582},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0879770815372467},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0765928328037262}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcc50002.2020.9259507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc50002.2020.9259507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W141093272","https://openalex.org/W1966976587","https://openalex.org/W2076898331","https://openalex.org/W2164777277","https://openalex.org/W2727431395","https://openalex.org/W2758667827","https://openalex.org/W2786752772","https://openalex.org/W2888549873","https://openalex.org/W3103185335","https://openalex.org/W4294214983"],"related_works":["https://openalex.org/W3188962172","https://openalex.org/W2772917594","https://openalex.org/W4306742369","https://openalex.org/W4303457083","https://openalex.org/W2131146434","https://openalex.org/W590383186","https://openalex.org/W2951359407","https://openalex.org/W4376623224","https://openalex.org/W2377430935","https://openalex.org/W2055973554"],"abstract_inverted_index":{"Autonomous":[0],"car":[1],"is":[2,21,30,71,97],"driverless;":[3],"it":[4],"creates":[5],"lots":[6],"of":[7,32,36,49,55],"new":[8,13],"possibilities,":[9],"but":[10],"also":[11],"imposes":[12],"challenges.":[14],"A":[15],"major":[16],"challenge":[17],"for":[18,100],"autonomous":[19],"cars":[20,76],"safety.":[22],"The":[23,68,82,95],"previous":[24],"studies":[25],"showed":[26,85],"that":[27,86],"road":[28,50,66,93,102],"condition":[29],"one":[31],"the":[33,47,65,87],"main":[34],"factors":[35],"traffic":[37],"accidents.":[38],"This":[39],"paper":[40],"proposes":[41],"a":[42,53,59],"method":[43],"to":[44,62,77],"automatically":[45],"collect":[46],"status":[48],"conditions":[51,103],"from":[52,79],"group":[54],"cars,":[56],"and":[57,106],"uses":[58],"statistical":[60],"model":[61],"quantitatively":[63],"classify":[64,92],"conditions.":[67,94],"processed":[69],"information":[70],"then":[72],"shared":[73],"with":[74],"peer":[75],"prevent":[78],"potential":[80],"dangers.":[81],"performance":[83],"study":[84],"proposed":[88],"algorithm":[89,96],"could":[90],"effectively":[91],"particularly":[98],"useful":[99],"uncertain":[101],"in":[104],"remote":[105],"developing":[107],"areas.":[108]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
