{"id":"https://openalex.org/W2911498652","doi":"https://doi.org/10.1109/ivcnz.2018.8634799","title":"Developing an On-Road Obstacle Detection System Using Monovision","display_name":"Developing an On-Road Obstacle Detection System Using Monovision","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2911498652","doi":"https://doi.org/10.1109/ivcnz.2018.8634799","mag":"2911498652"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz.2018.8634799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2018.8634799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Image and Vision Computing New Zealand (IVCNZ)","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/A5038102256","display_name":"Ya-Wen Hsu","orcid":"https://orcid.org/0000-0002-1112-5007"},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ya-Wen Hsu","raw_affiliation_strings":["Dept. of Mechanical and Electro-Mechanical Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Mechanical and Electro-Mechanical Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044273233","display_name":"Kai-Quan Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kai-Quan Zhong","raw_affiliation_strings":["Dept. of Mechanical and Electro-Mechanical Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Mechanical and Electro-Mechanical Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010616886","display_name":"Jau\u2010Woei Perng","orcid":"https://orcid.org/0000-0002-4703-8845"},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jau-Woei Perng","raw_affiliation_strings":["Dept. of Mechanical and Electro-Mechanical Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Mechanical and Electro-Mechanical Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061057888","display_name":"Tang-Kai Yin","orcid":"https://orcid.org/0000-0001-9559-219X"},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tang-Kai Yin","raw_affiliation_strings":["Dept. of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I192168892"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101638454","display_name":"Chia\u2010Yen Chen","orcid":"https://orcid.org/0000-0001-9856-7301"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Chia-Yen Chen","raw_affiliation_strings":["Department of Computer Science, University of Auckland, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.424,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69189767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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/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":0.9994999766349792,"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":0.7532657384872437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7392135858535767},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.7381976842880249},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7272049784660339},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7137752175331116},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5689147710800171},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.5277034640312195},{"id":"https://openalex.org/keywords/alarm","display_name":"ALARM","score":0.5176825523376465},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.48497486114501953},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46465104818344116},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4610999524593353},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33399394154548645},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15511071681976318},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1430826485157013}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7532657384872437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7392135858535767},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.7381976842880249},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7272049784660339},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7137752175331116},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5689147710800171},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.5277034640312195},{"id":"https://openalex.org/C2779119184","wikidata":"https://www.wikidata.org/wiki/Q294350","display_name":"ALARM","level":2,"score":0.5176825523376465},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.48497486114501953},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46465104818344116},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4610999524593353},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33399394154548645},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15511071681976318},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1430826485157013},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivcnz.2018.8634799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2018.8634799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Image and Vision Computing New Zealand (IVCNZ)","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":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1965484410","https://openalex.org/W2008096488","https://openalex.org/W2036642166","https://openalex.org/W2061642068","https://openalex.org/W2088173505","https://openalex.org/W2091936225","https://openalex.org/W2100242026","https://openalex.org/W2108421269","https://openalex.org/W2113799686","https://openalex.org/W2156241262","https://openalex.org/W2161969291","https://openalex.org/W2164598857","https://openalex.org/W2168356304","https://openalex.org/W2607751617","https://openalex.org/W2724453595","https://openalex.org/W2767086780","https://openalex.org/W6652285652","https://openalex.org/W6739727138"],"related_works":["https://openalex.org/W2731305060","https://openalex.org/W2372003537","https://openalex.org/W1983393909","https://openalex.org/W3121346907","https://openalex.org/W2040150569","https://openalex.org/W4379535633","https://openalex.org/W2468095590","https://openalex.org/W2132174924","https://openalex.org/W1911540634","https://openalex.org/W2013909972"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"an":[3],"onboard":[4],"camera":[5],"are":[6],"used":[7],"to":[8,29,44,73],"develop":[9],"a":[10,16],"frontal":[11],"object":[12,23],"detection":[13,40,85],"algorithm":[14,41],"for":[15],"forward":[17],"collision":[18],"warning":[19],"system.":[20],"The":[21,56,81],"vision-based":[22],"recognition":[24,51],"system":[25,83],"employs":[26],"two-stage":[27],"classifiers":[28],"detect":[30],"and":[31,48,62,69,87,95],"recognize":[32],"the":[33,46,50,54,75,78,88],"objects":[34,58],"in":[35],"front":[36],"of":[37,53,77,92],"vehicle.":[38],"Two-stage":[39],"is":[42],"adopted":[43],"accelerate":[45],"computation":[47],"increase":[49],"accuracy":[52],"algorithm.":[55,80],"detected":[57],"include":[59],"pedestrians,":[60],"motorcycles,":[61],"cars.":[63],"Finally,":[64],"different":[65],"environmental":[66],"conditions":[67],"(daytime":[68],"nighttime)":[70],"were":[71],"selected":[72],"verify":[74],"performance":[76],"proposed":[79,82],"achieved":[84],"rates":[86,91],"false":[89],"alarm":[90],"approximately":[93],"81.1%":[94],"0.3%,":[96],"respectively.":[97]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
