{"id":"https://openalex.org/W4391496245","doi":"https://doi.org/10.1109/m2vip58386.2023.10413410","title":"IMTP: Intention-Matching Trajectory Prediction for Autonomous Vehicles","display_name":"IMTP: Intention-Matching Trajectory Prediction for Autonomous Vehicles","publication_year":2023,"publication_date":"2023-11-21","ids":{"openalex":"https://openalex.org/W4391496245","doi":"https://doi.org/10.1109/m2vip58386.2023.10413410"},"language":"en","primary_location":{"id":"doi:10.1109/m2vip58386.2023.10413410","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/m2vip58386.2023.10413410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 29th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.manchester.ac.uk/ws/files/339246765/M2VIP2023-Wenzhi_Bai.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010799997","display_name":"Wenzhi Bai","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wenzhi Bai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084768642","display_name":"Luwen Yu","orcid":"https://orcid.org/0000-0002-1664-2230"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luwen Yu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036667843","display_name":"Andrew Weightman","orcid":"https://orcid.org/0000-0001-7232-4942"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrew Weightman","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086465750","display_name":"Zhengtao Ding","orcid":"https://orcid.org/0000-0003-0690-7853"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhengtao Ding","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100346728","display_name":"Zhiqiang Zhang","orcid":"https://orcid.org/0000-0003-2339-5618"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiqiang Zhang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035866142","display_name":"Sheng Quan Xie","orcid":"https://orcid.org/0000-0003-2641-2620"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shengquan Xie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5024394762","display_name":"Zhenghong Li","orcid":"https://orcid.org/0000-0003-2583-5082"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenhong Li","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5010799997"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1108,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45221832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"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":0.9998999834060669,"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":0.9998999834060669,"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/T10370","display_name":"Traffic and Road Safety","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9746999740600586,"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":0.8486593961715698},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7645544409751892},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6563922166824341},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6097379326820374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39467567205429077},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09963247179985046}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8486593961715698},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7645544409751892},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6563922166824341},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6097379326820374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39467567205429077},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09963247179985046},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/m2vip58386.2023.10413410","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/m2vip58386.2023.10413410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 29th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:219746","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Proceedings Paper"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/c6cd9a5e-7179-4842-acaf-8a9684b0c87c","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/c6cd9a5e-7179-4842-acaf-8a9684b0c87c","pdf_url":"https://pure.manchester.ac.uk/ws/files/339246765/M2VIP2023-Wenzhi_Bai.pdf","source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Bai, W, Yu, L, Weightman, A, Ding, Z, Xie, S & Li, Z 2024, IMTP: Intention-Matching Trajectory Prediction for Autonomous Vehicles. in 2023 29th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2023. 2023 29th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2023, IEEE, 29th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2023, Queenstown, New Zealand, 21/11/23. https://doi.org/10.1109/M2VIP58386.2023.10413410","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/c6cd9a5e-7179-4842-acaf-8a9684b0c87c","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/c6cd9a5e-7179-4842-acaf-8a9684b0c87c","pdf_url":"https://pure.manchester.ac.uk/ws/files/339246765/M2VIP2023-Wenzhi_Bai.pdf","source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Bai, W, Yu, L, Weightman, A, Ding, Z, Xie, S & Li, Z 2024, IMTP: Intention-Matching Trajectory Prediction for Autonomous Vehicles. in 2023 29th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2023. 2023 29th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2023, IEEE, 29th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2023, Queenstown, New Zealand, 21/11/23. https://doi.org/10.1109/M2VIP58386.2023.10413410","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.4399999976158142,"display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G2488836150","display_name":null,"funder_award_id":"EP/V057782/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8821762071","display_name":null,"funder_award_id":"EP/V057782/2","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391496245.pdf","grobid_xml":"https://content.openalex.org/works/W4391496245.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1926428750","https://openalex.org/W2012849708","https://openalex.org/W2032924574","https://openalex.org/W2048093873","https://openalex.org/W2055556996","https://openalex.org/W2107338474","https://openalex.org/W2607296803","https://openalex.org/W2741850495","https://openalex.org/W2796795797","https://openalex.org/W2955189650","https://openalex.org/W2963309363","https://openalex.org/W2996287921","https://openalex.org/W3091155851","https://openalex.org/W3136121014","https://openalex.org/W3204219722","https://openalex.org/W4214593147","https://openalex.org/W4226239849","https://openalex.org/W4300942734","https://openalex.org/W6631209646","https://openalex.org/W6791253119"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4323768008","https://openalex.org/W1941703695","https://openalex.org/W4248382324"],"abstract_inverted_index":{"Trajectory":[0,25],"prediction":[1,21,114],"for":[2,7],"surrounding":[3,52,98],"vehicles":[4,53],"is":[5],"critical":[6],"ensuring":[8],"the":[9,43,48,56,64,75,80,88],"safety":[10],"of":[11,51],"autonomous":[12],"driving.":[13],"In":[14],"this":[15],"paper,":[16],"we":[17],"introduce":[18],"a":[19,105],"novel":[20],"framework":[22,85,111],"named":[23],"Intention-Matching":[24],"Prediction":[26],"(IMTP).":[27],"Different":[28],"from":[29],"existing":[30],"results":[31],"that":[32,109],"predict":[33],"trajectories":[34,61,69],"based":[35,54,62],"on":[36,55,63,104],"only":[37],"environmental":[38,93],"information":[39],"and":[40,58,77,95,116],"historical":[41],"trajectories,":[42],"proposed":[44,84],"method":[45],"initially":[46],"identifies":[47],"possible":[49],"intentions":[50],"environment":[57],"generates":[59],"intention-informed":[60],"physical":[65,89],"vehicle":[66,90],"model.":[67],"Historical":[68],"are":[70],"then":[71],"used":[72],"to":[73],"identify":[74],"intention":[76],"trajectory":[78],"with":[79],"highest":[81],"probability.":[82],"The":[83],"effectively":[86],"integrates":[87],"model,":[91],"road-related":[92],"factors,":[94],"interactions":[96],"among":[97],"vehicles.":[99],"A":[100],"comparative":[101],"study":[102],"conducted":[103],"public":[106],"dataset":[107],"demonstrates":[108],"our":[110],"enhances":[112],"both":[113],"accuracy":[115],"robustness.":[117]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
