{"id":"https://openalex.org/W3183206046","doi":"https://doi.org/10.23919/acc50511.2021.9483043","title":"Autonomous Emergency Braking Control Based on Inevitable Collision State for Multiple Collision Scenarios at Intersection","display_name":"Autonomous Emergency Braking Control Based on Inevitable Collision State for Multiple Collision Scenarios at Intersection","publication_year":2021,"publication_date":"2021-05-25","ids":{"openalex":"https://openalex.org/W3183206046","doi":"https://doi.org/10.23919/acc50511.2021.9483043","mag":"3183206046"},"language":"en","primary_location":{"id":"doi:10.23919/acc50511.2021.9483043","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc50511.2021.9483043","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 American Control Conference (ACC)","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/A5101814743","display_name":"Liang Yu","orcid":"https://orcid.org/0009-0007-3922-3454"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangyao Yu","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101974072","display_name":"Ruyue Wang","orcid":"https://orcid.org/0000-0002-7689-1386"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruyue Wang","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063218435","display_name":"Zheng\u2010Hong Lu","orcid":"https://orcid.org/0000-0003-2050-0822"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenghong Lu","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4649,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62996208,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"148","last_page":"153"},"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/T10524","display_name":"Traffic control and management","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9994000196456909,"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/collision","display_name":"Collision","score":0.7917695045471191},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.6980424523353577},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.6474658846855164},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6145378947257996},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5639887452125549},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.44993001222610474},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4439954459667206},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.42893174290657043},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3456861674785614},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.2910749316215515},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2713853716850281},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.1303386688232422},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10115313529968262}],"concepts":[{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.7917695045471191},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.6980424523353577},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.6474658846855164},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6145378947257996},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5639887452125549},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.44993001222610474},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4439954459667206},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.42893174290657043},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3456861674785614},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.2910749316215515},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2713853716850281},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.1303386688232422},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10115313529968262},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc50511.2021.9483043","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc50511.2021.9483043","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1537776573","https://openalex.org/W1974042363","https://openalex.org/W2034288771","https://openalex.org/W2066094919","https://openalex.org/W2119360047","https://openalex.org/W2126200703","https://openalex.org/W2343873382","https://openalex.org/W2786202139","https://openalex.org/W3165151934","https://openalex.org/W6796106647"],"related_works":["https://openalex.org/W2023024008","https://openalex.org/W1911254468","https://openalex.org/W1506523185","https://openalex.org/W1819938260","https://openalex.org/W2340892746","https://openalex.org/W626552678","https://openalex.org/W3005999311","https://openalex.org/W607781325","https://openalex.org/W3042530408","https://openalex.org/W2120267624"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"a":[3,15,28],"control":[4,39,100],"strategy":[5,101],"for":[6,31],"the":[7,32,38,42,51,55,59,63,77,81,92,99,119,122],"Autonomous":[8],"Emergency":[9],"Braking":[10],"(AEB)":[11],"system.":[12],"To":[13],"acquire":[14],"strong":[16],"applicability":[17],"in":[18,91],"multiple":[19],"collision":[20,52,107,113],"scenarios,":[21,25],"especially":[22],"intersection":[23,105],"related":[24,106],"and":[26,69,84,111],"also":[27,89],"good":[29],"scalability":[30],"other":[33],"vehicular":[34],"trajectory":[35],"planning":[36],"applications,":[37],"method":[40],"utilized":[41],"idea":[43],"of":[44,54,65,80,98,121],"Inevitable":[45],"Collision":[46],"States":[47],"(ICS)":[48],"to":[49],"judge":[50],"risk":[53],"ego":[56,67],"car":[57,68],"with":[58],"various":[60],"obstacles,":[61],"taking":[62],"dynamic":[64,93],"both":[66],"obstacle":[70],"into":[71],"account.":[72],"Vehicle":[73],"specified":[74],"characteristics":[75],"including":[76,109],"reaction":[78],"time":[79],"braking":[82,86],"system":[83],"peak":[85],"coefficient":[87],"are":[88,114],"considered":[90],"model.":[94],"The":[95],"flow":[96],"chart":[97],"is":[102],"presented.":[103],"Typical":[104],"scenarios":[108],"car-to-car":[110],"car-to-bicycle/pedestrian":[112],"simulated,":[115],"which":[116],"well":[117],"demonstrates":[118],"effectiveness":[120],"proposed":[123],"strategy.":[124]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}