{"id":"https://openalex.org/W3120718489","doi":"https://doi.org/10.1109/iv47402.2020.9304786","title":"Model-Based Prediction of Two-Wheelers","display_name":"Model-Based Prediction of Two-Wheelers","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3120718489","doi":"https://doi.org/10.1109/iv47402.2020.9304786","mag":"3120718489"},"language":"en","primary_location":{"id":"doi:10.1109/iv47402.2020.9304786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102889005","display_name":"Florian Wirth","orcid":"https://orcid.org/0009-0000-2219-4393"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Florian Wirth","raw_affiliation_strings":["Institute of Measurement and Control Systems, KIT, Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Measurement and Control Systems, KIT, Karlsruhe, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103408749","display_name":"Tao Wen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao Wen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083304899","display_name":"C. Fern\u00e1ndez-L\u00f3pez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carlos Fernandez-Lopez","raw_affiliation_strings":["Institute of Measurement and Control Systems, KIT, Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Measurement and Control Systems, KIT, Karlsruhe, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091574711","display_name":"Christoph Stiller","orcid":"https://orcid.org/0000-0003-4165-2075"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christoph Stiller","raw_affiliation_strings":["Institute of Measurement and Control Systems, KIT, Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Measurement and Control Systems, KIT, Karlsruhe, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1669","last_page":"1674"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9957000017166138,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/kinematics","display_name":"Kinematics","score":0.7197986841201782},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6474948525428772},{"id":"https://openalex.org/keywords/truck","display_name":"Truck","score":0.6324198246002197},{"id":"https://openalex.org/keywords/agile-software-development","display_name":"Agile software development","score":0.6270450353622437},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.5556796789169312},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5501160025596619},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5107190608978271},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.44693171977996826},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.4285036027431488},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3651130795478821},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3369179964065552},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.31289488077163696},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2438059151172638},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06724673509597778}],"concepts":[{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.7197986841201782},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6474948525428772},{"id":"https://openalex.org/C52121051","wikidata":"https://www.wikidata.org/wiki/Q43193","display_name":"Truck","level":2,"score":0.6324198246002197},{"id":"https://openalex.org/C14185376","wikidata":"https://www.wikidata.org/wiki/Q30232","display_name":"Agile software development","level":2,"score":0.6270450353622437},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.5556796789169312},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5501160025596619},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5107190608978271},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.44693171977996826},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.4285036027431488},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3651130795478821},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3369179964065552},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.31289488077163696},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2438059151172638},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06724673509597778},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv47402.2020.9304786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320307102","display_name":"Intel Corporation","ror":"https://ror.org/01ek73717"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1496249676","https://openalex.org/W1757305612","https://openalex.org/W1988238698","https://openalex.org/W2020934227","https://openalex.org/W2038470185","https://openalex.org/W2070183837","https://openalex.org/W2333476911","https://openalex.org/W2513866924","https://openalex.org/W2739667207","https://openalex.org/W2740104662","https://openalex.org/W2740801047","https://openalex.org/W2749747771","https://openalex.org/W2792977668","https://openalex.org/W2810931617","https://openalex.org/W2899817162","https://openalex.org/W2930981978","https://openalex.org/W2962783540","https://openalex.org/W2963935518","https://openalex.org/W2970683415","https://openalex.org/W2970828890","https://openalex.org/W2971142047","https://openalex.org/W2971292066","https://openalex.org/W2990699998","https://openalex.org/W4233730793","https://openalex.org/W4297781990","https://openalex.org/W6629442553","https://openalex.org/W6761296471"],"related_works":["https://openalex.org/W1588474856","https://openalex.org/W3036261569","https://openalex.org/W1968776045","https://openalex.org/W2889950528","https://openalex.org/W2296713838","https://openalex.org/W767149399","https://openalex.org/W575062473","https://openalex.org/W2133675512","https://openalex.org/W4297672583","https://openalex.org/W2357934771"],"abstract_inverted_index":{"The":[0,40,135],"breakthrough":[1],"of":[2,34,44,91,101,130],"intelligent":[3],"vehicles":[4],"will":[5],"also":[6],"be":[7,121],"determined":[8],"by":[9],"the":[10,23,31,56],"safety":[11],"gain":[12],"they":[13,54,72,118],"provide.":[14],"In":[15,82],"order":[16,83,110],"to":[17,68,84,111,120,123,132],"perform":[18],"accident":[19],"avoiding":[20],"reactions":[21],"at":[22],"earliest":[24],"point":[25],"in":[26,109,116,140],"time":[27],"possible,":[28],"predictions":[29],"about":[30,106],"future":[32],"behavior":[33],"other":[35],"traffic":[36,45],"participants":[37,46],"are":[38,50,63,73],"needed.":[39],"most":[41],"exposed":[42],"share":[43,55],"regarding":[47],"this":[48],"issue":[49],"single-track":[51],"two-wheelers":[52],"(1T2W):":[53],"road":[57],"with":[58,142],"cars":[59],"and":[60],"trucks":[61],"but":[62,77],"not":[64],"as":[65,80],"agile":[66],"due":[67,122],"their":[69,86,92,107],"kinematics.":[70,95],"Furthermore,":[71],"faster":[74],"than":[75],"pedestrians":[76],"comparably":[78],"vulnerable":[79],"those.":[81],"guarantee":[85],"safety,":[87],"we":[88],"make":[89],"use":[90],"movement":[93],"restricting":[94],"We":[96],"simulate":[97],"three":[98],"typical":[99],"classes":[100],"1T2W":[102],"under":[103],"conservative":[104],"assumptions":[105],"agility":[108],"generate":[112],"a":[113,126],"spatial":[114],"region":[115],"which":[117],"have":[119],"physics":[124],"after":[125],"fixed":[127],"prediction":[128],"horizon":[129],"up":[131],"1.5":[133],"seconds.":[134],"proposed":[136],"approach":[137],"was":[138],"verified":[139],"experiments":[141],"real":[143],"high-dynamic":[144],"driving":[145],"maneuvers.":[146]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}