{"id":"https://openalex.org/W643178493","doi":null,"title":"Enhancement of Lane Departure Warning System in Short Term Autonomous Warning using Inertial Sensors Assistance","display_name":"Enhancement of Lane Departure Warning System in Short Term Autonomous Warning using Inertial Sensors Assistance","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W643178493","mag":"643178493"},"language":"en","primary_location":{"id":"mag:643178493","doi":null,"is_oa":false,"landing_page_url":"https://www.artc.org.tw/chinese/03_service/down.aspx?file_name=tw_knowledge_440513824.pdf&file_value=3","pdf_url":null,"source":{"id":"https://openalex.org/S4306498895","display_name":"20th ITS World CongressITS Japan","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"20th ITS World CongressITS Japan","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5100829303","display_name":"Chan Wei Hsu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chan Wei Hsu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000468857","display_name":"Yi Su","orcid":"https://orcid.org/0000-0001-8794-7376","observed_orcids":["https://orcid.org/0000-0001-8794-7376"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Su","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-8794-7376","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054327696","display_name":"Kuang Jen Chang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kuang Jen Chang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Chi Feng Hung","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chi Feng Hung","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06656177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9990000128746033,"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":0.9990000128746033,"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/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.0003000000142492354,"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/T10525","display_name":"Human-Automation Interaction and Safety","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/3307","display_name":"Human Factors and Ergonomics"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lane-departure-warning-system","display_name":"lane departure warning","score":0.9959999918937683},{"id":"https://openalex.org/keywords/inertial-sensors","display_name":"inertial sensors","score":0.9300000071525574},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"sensor fusion","score":0.6650000214576721},{"id":"https://openalex.org/keywords/lane-detection","display_name":"lane detection","score":0.7440000176429749},{"id":"https://openalex.org/keywords/dead-reckoning","display_name":"dead reckoning","score":0.765999972820282},{"id":"https://openalex.org/keywords/odometry","display_name":"odometry","score":0.878000020980835},{"id":"https://openalex.org/keywords/camera-based-perception","display_name":"camera-based perception","score":0.6110000014305115},{"id":"https://openalex.org/keywords/image-calibration","display_name":"image calibration","score":0.5320000052452087},{"id":"https://openalex.org/keywords/coordinate-transformation","display_name":"coordinate transformation","score":0.8169999718666077},{"id":"https://openalex.org/keywords/hybrid-sensor-systems","display_name":"hybrid sensor systems","score":0.39399999380111694},{"id":"https://openalex.org/keywords/failure-modes","display_name":"failure modes","score":0.5080000162124634}],"concepts":[{"id":"https://openalex.org/C49441653","wikidata":"https://www.wikidata.org/wiki/Q2014717","display_name":"Odometry","level":4,"score":0.6951013803482056},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6380797624588013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6217434406280518},{"id":"https://openalex.org/C151043444","wikidata":"https://www.wikidata.org/wiki/Q28253","display_name":"Lane departure warning system","level":2,"score":0.578810453414917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5727813243865967},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.5668609738349915},{"id":"https://openalex.org/C128651787","wikidata":"https://www.wikidata.org/wiki/Q570607","display_name":"Inertial navigation system","level":3,"score":0.55438232421875},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.5229892730712891},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5154607892036438},{"id":"https://openalex.org/C106165642","wikidata":"https://www.wikidata.org/wiki/Q152255","display_name":"Dead reckoning","level":3,"score":0.5046333074569702},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4864904284477234},{"id":"https://openalex.org/C173386949","wikidata":"https://www.wikidata.org/wiki/Q192735","display_name":"Inertial frame of reference","level":2,"score":0.4519944489002228},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.4372675120830536},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.4333420395851135},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.17769980430603027},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11890575289726257},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.07174453139305115},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:643178493","doi":null,"is_oa":false,"landing_page_url":"https://www.artc.org.tw/chinese/03_service/down.aspx?file_name=tw_knowledge_440513824.pdf&file_value=3","pdf_url":null,"source":{"id":"https://openalex.org/S4306498895","display_name":"20th ITS World CongressITS Japan","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"20th ITS World CongressITS Japan","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4943999946117401}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1493051473","https://openalex.org/W2117823680","https://openalex.org/W2121217781","https://openalex.org/W2123068169","https://openalex.org/W2143868553","https://openalex.org/W2282429385"],"related_works":["https://openalex.org/W2146338644","https://openalex.org/W3007550916","https://openalex.org/W1519434590","https://openalex.org/W3045933035","https://openalex.org/W4386253056","https://openalex.org/W2109141879","https://openalex.org/W2602457006","https://openalex.org/W3172887149","https://openalex.org/W4221002972","https://openalex.org/W181555900"],"abstract_inverted_index":{"This":[0],"paper":[1,124],"devotes":[2],"to":[3,17,132],"design":[4,110],"and":[5,9,35,42,62,80,93,106,114,120,145,148],"integrate":[6],"a":[7,24,70,104],"hybrid":[8,101],"innovative":[10],"lane":[11,28,47],"departure":[12],"warning":[13,81],"system":[14,138],"(LDWS)":[15],"scheme":[16,22],"increase":[18],"its":[19],"availability.":[20],"The":[21,65,136],"presents":[23],"solution":[25,128],"of":[26,76],"discontinuous":[27],"marking":[29],"for":[30],"markings":[31,48],"detection":[32],"using":[33],"camera":[34,71],"sensor":[36],"fusion,":[37],"including":[38],"image":[39,50,60,79],"processing,":[40],"dead-reckoning":[41],"vehicular":[43,121],"signals.":[44],"To":[45],"extract":[46],"from":[49],"catching,":[51],"digital":[52],"signal":[53],"processing":[54],"(DSP)":[55],"perform":[56],"the":[57,74,151],"task":[58],"after":[59],"calibration":[61],"coordinate":[63],"transform.":[64],"vision":[66],"is":[67,139],"applied":[68],"by":[69],"which":[72],"plays":[73],"role":[75],"displaying":[77],"preceding":[78],"information":[82],"with":[83,129,142],"buzzer.":[84],"When":[85],"operating":[86],"at":[87],"failure":[88],"mode,":[89],"inertial":[90,115,118],"signals":[91],"apply":[92],"provide":[94],"available":[95],"track.":[96],"In":[97],"dead":[98],"reckoning":[99],"technology,":[100],"sensors":[102],"address":[103],"global":[105],"all":[107],"weather":[108],"assistant":[109],"based":[111],"on":[112],"odometry":[113],"sensor.":[116],"From":[117],"data":[119],"information,":[122],"this":[123],"provides":[125],"an":[126],"extended":[127,154],"learning":[130],"parameters":[131],"do":[133],"remote":[134],"warning.":[135],"proposed":[137],"carried":[140],"out":[141],"theoretical":[143],"application":[144],"hardware":[146],"integration,":[147],"further":[149],"more":[150],"result":[152],"shows":[153],"LDWS":[155],"approach":[156],"applicability.":[157]},"counts_by_year":[],"updated_date":"2026-09-27T08:07:27.782135","created_date":"2016-06-24T00:00:00"}