{"id":"https://openalex.org/W2970421303","doi":"https://doi.org/10.1109/ivs.2019.8813832","title":"Motion Planning for Collision Mitigation via FEM\u2013Based Crash Severity Maps","display_name":"Motion Planning for Collision Mitigation via FEM\u2013Based Crash Severity Maps","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2970421303","doi":"https://doi.org/10.1109/ivs.2019.8813832","mag":"2970421303"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2019.8813832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2019.8813832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Vehicles Symposium (IV)","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/A5063815986","display_name":"Bruno Simon","orcid":"https://orcid.org/0000-0003-4464-8143"},"institutions":[{"id":"https://openalex.org/I4210106192","display_name":"Technische Hochschule Ingolstadt","ror":"https://ror.org/02bxzcy64","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210106192"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Bruno Simon","raw_affiliation_strings":["Faculty of Mechanical Engineering, Ingolstadt University of Applied Sciences, Ingolstadt, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering, Ingolstadt University of Applied Sciences, Ingolstadt, Germany","institution_ids":["https://openalex.org/I4210106192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039691225","display_name":"Florian Franke","orcid":"https://orcid.org/0000-0003-2900-7348"},"institutions":[{"id":"https://openalex.org/I4210106192","display_name":"Technische Hochschule Ingolstadt","ror":"https://ror.org/02bxzcy64","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210106192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Franke","raw_affiliation_strings":["Faculty of Mechanical Engineering, Ingolstadt University of Applied Sciences, Ingolstadt, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering, Ingolstadt University of Applied Sciences, Ingolstadt, Germany","institution_ids":["https://openalex.org/I4210106192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046231817","display_name":"Peter Riegl","orcid":"https://orcid.org/0009-0007-6184-9576"},"institutions":[{"id":"https://openalex.org/I4210106192","display_name":"Technische Hochschule Ingolstadt","ror":"https://ror.org/02bxzcy64","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210106192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Peter Riegl","raw_affiliation_strings":["Faculty of Mechanical Engineering, Ingolstadt University of Applied Sciences, Ingolstadt, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering, Ingolstadt University of Applied Sciences, Ingolstadt, Germany","institution_ids":["https://openalex.org/I4210106192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002949684","display_name":"Andreas Gaull","orcid":"https://orcid.org/0000-0002-0938-5299"},"institutions":[{"id":"https://openalex.org/I4210106192","display_name":"Technische Hochschule Ingolstadt","ror":"https://ror.org/02bxzcy64","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210106192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Gaull","raw_affiliation_strings":["Faculty of Mechanical Engineering, Ingolstadt University of Applied Sciences, Ingolstadt, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering, Ingolstadt University of Applied Sciences, Ingolstadt, Germany","institution_ids":["https://openalex.org/I4210106192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063815986"],"corresponding_institution_ids":["https://openalex.org/I4210106192"],"apc_list":null,"apc_paid":null,"fwci":1.5183,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.86438566,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2187","last_page":"2194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","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/T10586","display_name":"Robotic Path Planning Algorithms","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":0.9990000128746033,"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":0.984000027179718,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/crash","display_name":"Crash","score":0.9078574180603027},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.7976134419441223},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.781920313835144},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6676961183547974},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4807460308074951},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.45525985956192017},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4182104766368866},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3702087104320526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15841498970985413},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07402980327606201}],"concepts":[{"id":"https://openalex.org/C183469790","wikidata":"https://www.wikidata.org/wiki/Q333501","display_name":"Crash","level":2,"score":0.9078574180603027},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.7976134419441223},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.781920313835144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6676961183547974},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4807460308074951},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.45525985956192017},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4182104766368866},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3702087104320526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15841498970985413},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07402980327606201},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2019.8813832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2019.8813832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Vehicles Symposium (IV)","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":15,"referenced_works":["https://openalex.org/W1671591471","https://openalex.org/W1967925806","https://openalex.org/W1978972571","https://openalex.org/W1988874269","https://openalex.org/W2059755132","https://openalex.org/W2119568445","https://openalex.org/W2128019145","https://openalex.org/W2154782499","https://openalex.org/W2166316739","https://openalex.org/W2516601648","https://openalex.org/W2760648400","https://openalex.org/W2897086213","https://openalex.org/W2899914430","https://openalex.org/W2905333235","https://openalex.org/W2908972399"],"related_works":["https://openalex.org/W2060907096","https://openalex.org/W4213237572","https://openalex.org/W2037691914","https://openalex.org/W2033004768","https://openalex.org/W1590484355","https://openalex.org/W3128855127","https://openalex.org/W606683351","https://openalex.org/W3036072450","https://openalex.org/W1558985077","https://openalex.org/W817408681"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,17,99,103,127,136],"novel":[4],"collision":[5,100,144],"mitigation":[6],"method":[7],"for":[8,76,109,140],"traffic":[9],"scenarios":[10,83],"in":[11,57,118],"which":[12],"accidents":[13],"are":[14,84],"inevitable.":[15],"When":[16],"predicted":[18,36],"accident":[19],"is":[20,89],"imminent,":[21],"the":[22,27,30,35,44,51,54,58,73,87,110,114,119,148,155,158],"suggested":[23],"software":[24],"agent":[25],"changes":[26],"trajectory":[28,101,132,141],"of":[29,46,53,150,157],"ego":[31],"vehicle":[32,151],"to":[33,71,113,131],"optimize":[34],"crash":[37,47,65,74,78,82,116,121],"configuration.":[38],"The":[39,93],"target":[40],"function":[41],"results":[42],"from":[43,102],"degree":[45],"severity,":[48],"based":[49],"on":[50,90,126],"deformation":[52],"safety":[55],"cage":[56],"occupant":[59],"area.":[60],"We":[61,124],"have":[62],"performed":[63],"numerous":[64],"simulations":[66],"with":[67],"detailed":[68],"FEM":[69],"models":[70],"determine":[72],"severity":[75,117],"possible":[77],"configurations.":[79],"Since":[80],"inevitable":[81],"inherently":[85],"time-critical,":[86],"focus":[88],"fast":[91],"optimization.":[92],"proposed":[94,159],"heuristic":[95],"search":[96],"algorithm":[97],"computes":[98],"given":[104],"initial":[105],"state":[106],"by":[107],"searching":[108],"maneuver":[111],"leading":[112],"lowest":[115],"reachable":[120],"configuration":[122],"set.":[123],"rely":[125],"previously":[128],"developed":[129],"approach":[130],"modeling":[133],"that":[134],"guarantees":[135],"minimum":[137],"execution":[138],"time":[139],"generation":[142],"and":[143,146],"detection":[145],"respects":[147],"limits":[149],"dynamics.":[152],"Simulations":[153],"prove":[154],"applicability":[156],"algorithm.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-01-11T23:08:45.486102","created_date":"2025-10-10T00:00:00"}
