{"id":"https://openalex.org/W3127906584","doi":"https://doi.org/10.1109/cavs51000.2020.9334598","title":"Vehicle maneuver-based long-term trajectory prediction at intersection crossings","display_name":"Vehicle maneuver-based long-term trajectory prediction at intersection crossings","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3127906584","doi":"https://doi.org/10.1109/cavs51000.2020.9334598","mag":"3127906584"},"language":"en","primary_location":{"id":"doi:10.1109/cavs51000.2020.9334598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cavs51000.2020.9334598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 3rd Connected and Automated Vehicles Symposium (CAVS)","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/A5015921706","display_name":"Richardos Drakoulis","orcid":"https://orcid.org/0000-0001-6949-3163"},"institutions":[{"id":"https://openalex.org/I4210144519","display_name":"Institute of Communication and Computer Systems","ror":"https://ror.org/0483fn738","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210144519"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Drakoulis Richardos","raw_affiliation_strings":["Institute of Communication & Computer Systems (ICCS), Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communication & Computer Systems (ICCS), Athens, Greece","institution_ids":["https://openalex.org/I4210144519"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029891952","display_name":"Anastasia Bolovinou","orcid":"https://orcid.org/0000-0003-2001-2992"},"institutions":[{"id":"https://openalex.org/I4210144519","display_name":"Institute of Communication and Computer Systems","ror":"https://ror.org/0483fn738","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210144519"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Bolovinou Anastasia","raw_affiliation_strings":["Institute of Communication & Computer Systems (ICCS), Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communication & Computer Systems (ICCS), Athens, Greece","institution_ids":["https://openalex.org/I4210144519"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000652722","display_name":"Georgios Drainakis","orcid":"https://orcid.org/0000-0003-2443-2783"},"institutions":[{"id":"https://openalex.org/I4210144519","display_name":"Institute of Communication and Computer Systems","ror":"https://ror.org/0483fn738","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210144519"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Drainakis Georgios","raw_affiliation_strings":["Institute of Communication & Computer Systems (ICCS), Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communication & Computer Systems (ICCS), Athens, Greece","institution_ids":["https://openalex.org/I4210144519"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088400616","display_name":"Angelos Amditis","orcid":"https://orcid.org/0000-0002-4089-1990"},"institutions":[{"id":"https://openalex.org/I4210144519","display_name":"Institute of Communication and Computer Systems","ror":"https://ror.org/0483fn738","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210144519"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Amditis Angelos","raw_affiliation_strings":["Institute of Communication & Computer Systems (ICCS), Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communication & Computer Systems (ICCS), Athens, Greece","institution_ids":["https://openalex.org/I4210144519"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7132,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.72920008,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9631999731063843,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9573000073432922,"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/trajectory","display_name":"Trajectory","score":0.719829261302948},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.657649040222168},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.6293355226516724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6023608446121216},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5947705507278442},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5074760317802429},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4702920913696289},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.42686328291893005},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.41025111079216003},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1544668972492218}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.719829261302948},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.657649040222168},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.6293355226516724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6023608446121216},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5947705507278442},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5074760317802429},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4702920913696289},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.42686328291893005},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.41025111079216003},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1544668972492218},{"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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical 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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cavs51000.2020.9334598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cavs51000.2020.9334598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 3rd Connected and Automated Vehicles Symposium (CAVS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W608915684","https://openalex.org/W1486382483","https://openalex.org/W2019550475","https://openalex.org/W2032924574","https://openalex.org/W2055556996","https://openalex.org/W2099272073","https://openalex.org/W2101545882","https://openalex.org/W2106432970","https://openalex.org/W2107338474","https://openalex.org/W2505302138","https://openalex.org/W2612150182","https://openalex.org/W2883602772","https://openalex.org/W2896030454","https://openalex.org/W2905301806","https://openalex.org/W3010072020","https://openalex.org/W6618780517"],"related_works":["https://openalex.org/W2789522126","https://openalex.org/W2066693961","https://openalex.org/W2368363778","https://openalex.org/W122584421","https://openalex.org/W4244295168","https://openalex.org/W2753351751","https://openalex.org/W3185180338","https://openalex.org/W2889348933","https://openalex.org/W2351643838","https://openalex.org/W3033677963"],"abstract_inverted_index":{"Prediction":[0],"of":[1,73,83,118,128],"surrounding":[2],"vehicles'":[3],"turning":[4,106],"trajectory":[5,40,91,144],"and":[6,32,48,71,88,139],"the":[7,44,49,74,86,89,101,134,143],"associated":[8,50],"prediction":[9,103,145],"horizon":[10],"is":[11,34,56,137],"critical":[12],"for":[13],"Autonomous":[14],"Driving":[15],"systems":[16],"navigating":[17],"urban":[18],"intersections.":[19],"In":[20],"this":[21],"work,":[22],"a":[23,37,59,123,129],"classical":[24],"kinematic-based":[25],"vehicle":[26],"trajectory,":[27],"accurate":[28],"only":[29,97],"in":[30,141],"short-term":[31],"map-agnostic,":[33],"fused":[35],"with":[36,68,98],"long-term":[38],"map-aware":[39],"derived":[41],"based":[42],"on":[43,115,122],"vehicle's":[45],"maneuver":[46,54],"classification":[47,55],"target":[51],"lane.":[52],"The":[53],"provided":[57],"by":[58],"Bayesian":[60],"classifier":[61,78,87],"that":[62,133],"incorporates":[63],"lane-level":[64,130],"map":[65,131],"information":[66],"along":[67],"past":[69],"position":[70],"kinematics":[72],"vehicle.":[75],"Although":[76],"our":[77],"can":[79],"recognize":[80],"multiple":[81],"types":[82],"maneuvers,":[84],"both":[85],"proposed":[90,135],"fusion":[92],"model":[93],"are":[94],"here":[95],"evaluated":[96],"respect":[99],"to":[100],"turn":[102],"problem,":[104],"i.e.":[105],"right/turning":[107],"left":[108],"versus":[109],"lane":[110],"keeping":[111],"maneuver.":[112],"Quantitative":[113],"experiments":[114],"simulation":[116],"datasets":[117],"intersection":[119,126],"crossing":[120],"tracks":[121],"typical":[124],"4-leg":[125],"excerpt":[127],"show":[132],"approach":[136],"effective":[138],"robust":[140],"extending":[142],"horizon.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
