{"id":"https://openalex.org/W2801970756","doi":"https://doi.org/10.1109/iscas.2018.8350927","title":"A Blind Spot Detection Warning System based on Gabor Filtering and Optical Flow for E-mirror Applications","display_name":"A Blind Spot Detection Warning System based on Gabor Filtering and Optical Flow for E-mirror Applications","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2801970756","doi":"https://doi.org/10.1109/iscas.2018.8350927","mag":"2801970756"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2018.8350927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2018.8350927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5053134344","display_name":"Shun-Min Chang","orcid":"https://orcid.org/0000-0001-5033-8067"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shun-Min Chang","raw_affiliation_strings":["Department of Electronics Engineering, National Chiao-Tung University, Hsinchu, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, National Chiao-Tung University, Hsinchu, Taiwan, R.O.C","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007783236","display_name":"Chia\u2013Chi Tsai","orcid":"https://orcid.org/0000-0002-2318-6376"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Chi Tsai","raw_affiliation_strings":["Department of Electronics Engineering, National Chiao-Tung University, Hsinchu, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, National Chiao-Tung University, Hsinchu, Taiwan, R.O.C","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022312926","display_name":"Jiun-In Guo","orcid":"https://orcid.org/0000-0003-0402-2621"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jiun-In Guo","raw_affiliation_strings":["Department of Electronics Engineering, National Chiao-Tung University, Hsinchu, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, National Chiao-Tung University, Hsinchu, Taiwan, R.O.C","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9009,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.77223789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"18","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9988999962806702,"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":0.9988999962806702,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9950000047683716,"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":0.9918000102043152,"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-vision","display_name":"Computer vision","score":0.7501788139343262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7402898669242859},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7156095504760742},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6379231214523315},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5152575969696045},{"id":"https://openalex.org/keywords/gabor-filter","display_name":"Gabor filter","score":0.5119253396987915},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4920777678489685},{"id":"https://openalex.org/keywords/blind-spot","display_name":"Blind spot","score":0.44679003953933716},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.43745946884155273},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2631159722805023},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16114598512649536}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7501788139343262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7402898669242859},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7156095504760742},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6379231214523315},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5152575969696045},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.5119253396987915},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4920777678489685},{"id":"https://openalex.org/C64731932","wikidata":"https://www.wikidata.org/wiki/Q371090","display_name":"Blind spot","level":2,"score":0.44679003953933716},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.43745946884155273},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2631159722805023},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16114598512649536},{"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/iscas.2018.8350927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2018.8350927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1499401484","https://openalex.org/W1578285471","https://openalex.org/W1960064357","https://openalex.org/W1997350021","https://openalex.org/W2014625578","https://openalex.org/W2138361487","https://openalex.org/W2138584058","https://openalex.org/W2601266787","https://openalex.org/W2751023760","https://openalex.org/W6640990373","https://openalex.org/W6735594926"],"related_works":["https://openalex.org/W3018571661","https://openalex.org/W4247992781","https://openalex.org/W2994432938","https://openalex.org/W967069407","https://openalex.org/W2319356265","https://openalex.org/W83504689","https://openalex.org/W2280239469","https://openalex.org/W2679108175","https://openalex.org/W1999153596","https://openalex.org/W3173470621"],"abstract_inverted_index":{"Blind":[0],"Spot":[1],"Detection":[2],"(BSD)":[3],"is":[4,42,66],"an":[5],"important":[6],"technique":[7],"for":[8,29],"ADAS.":[9],"We":[10],"propose":[11],"a":[12,120],"BSD":[13,126],"algorithm":[14,149],"using":[15],"Gabor":[16,40],"filtering":[17,41],"and":[18,32,51,76,116,131,138,141,160],"optical":[19,58],"flow":[20,59],"to":[21,44,63,68,86],"detect":[22,45],"vehicles":[23],"in":[24,134,144],"the":[25,36,39,46,57,70,73,78,81,88,91,99,103,108,111],"blind":[26],"spot":[27],"region":[28],"both":[30],"day-time":[31,37],"night-time":[33,82],"applications.":[34],"For":[35,80],"scene,":[38,83],"used":[43,67],"vehicles,":[47],"inside":[48],"lane":[49,53],"line,":[50],"outside":[52],"line.":[54],"After":[55],"detection,":[56],"information":[60],"calculated":[61],"according":[62],"Horn-Schunck":[64],"method":[65],"judge":[69,117],"motion":[71],"of":[72,90,105,107,153],"vehicle":[74,121],"candidates":[75],"filter":[77],"mistake-judgement.":[79],"we":[84,95],"try":[85],"find":[87,102],"head-light":[89],"approaching":[92],"cars.":[93],"First,":[94],"perform":[96],"binarization":[97],"on":[98,156,163],"image":[100],"first,":[101],"center":[104],"gravity":[106],"light-area,":[109],"classify":[110],"light-area":[112],"into":[113],"2":[114],"groups":[115],"it":[118],"as":[119],"or":[122],"not.":[123],"The":[124,148],"proposed":[125],"system":[127],"achieves":[128],"93.58%":[129],"recall":[130,140],"95.83%":[132],"precision":[133,143],"day":[135],"time":[136,146],"scene":[137],"90.22%":[139],"92.76%":[142],"night":[145],"scene.":[147],"can":[150],"achieve":[151],"performance":[152],"89":[154],"fps":[155,162],"Intel":[157],"Core":[158],"I7":[159],"50":[161],"Renesas":[164],"R-Car":[165],"M2":[166],"under":[167],"640\u00d7480":[168],"resolution.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
