{"id":"https://openalex.org/W4408698518","doi":"https://doi.org/10.1109/itsc58415.2024.10919678","title":"Intention-Oriented Fast Joint Prediction and Planning for Safe Driving","display_name":"Intention-Oriented Fast Joint Prediction and Planning for Safe Driving","publication_year":2024,"publication_date":"2024-09-24","ids":{"openalex":"https://openalex.org/W4408698518","doi":"https://doi.org/10.1109/itsc58415.2024.10919678"},"language":"en","primary_location":{"id":"doi:10.1109/itsc58415.2024.10919678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","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/A5100654906","display_name":"Mingyi Zhang","orcid":"https://orcid.org/0000-0001-5501-8767"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyi Zhang","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024309592","display_name":"Jianru Xue","orcid":"https://orcid.org/0000-0002-4994-9343"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianru Xue","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072073374","display_name":"Chen Lv","orcid":"https://orcid.org/0000-0001-6897-4512"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chen Lv","raw_affiliation_strings":["School of Mechanical and Aerospace Engineering, Nanyang Technological University,Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Aerospace Engineering, Nanyang Technological University,Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042245655","display_name":"Jianwu Fang","orcid":"https://orcid.org/0000-0002-0300-6892"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwu Fang","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence,China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3696","last_page":"3702"},"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":0.9886000156402588,"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/T12810","display_name":"Real-time simulation and control systems","score":0.9764000177383423,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6930456161499023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6688137054443359},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1506383717060089},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.07573941349983215}],"concepts":[{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6930456161499023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6688137054443359},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1506383717060089},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.07573941349983215}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc58415.2024.10919678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G8144621808","display_name":null,"funder_award_id":"62036008,62273057","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W2005443352","https://openalex.org/W2562817597","https://openalex.org/W2986406093","https://openalex.org/W3013376041","https://openalex.org/W3034722190","https://openalex.org/W3106944564","https://openalex.org/W3107209377","https://openalex.org/W3112000052","https://openalex.org/W3116651890","https://openalex.org/W3181350748","https://openalex.org/W3193987867","https://openalex.org/W3200913209","https://openalex.org/W3203018838","https://openalex.org/W3204875639","https://openalex.org/W3206458928","https://openalex.org/W3206498438","https://openalex.org/W3214950490","https://openalex.org/W4226118181","https://openalex.org/W4283076523","https://openalex.org/W4287118690","https://openalex.org/W4292347911","https://openalex.org/W4295719664","https://openalex.org/W4307413605","https://openalex.org/W4312406013","https://openalex.org/W4312731878","https://openalex.org/W4313590738","https://openalex.org/W4381198967","https://openalex.org/W4383108473","https://openalex.org/W4383109100","https://openalex.org/W4386071585","https://openalex.org/W4389665969","https://openalex.org/W4391769393","https://openalex.org/W4393078713","https://openalex.org/W4401413933","https://openalex.org/W6731010938","https://openalex.org/W6745935785","https://openalex.org/W6767342764","https://openalex.org/W6779371077","https://openalex.org/W6780968326","https://openalex.org/W6787132479","https://openalex.org/W6801406884","https://openalex.org/W6801905799","https://openalex.org/W6802437797","https://openalex.org/W6803278392","https://openalex.org/W6810149931","https://openalex.org/W6838075770","https://openalex.org/W6839043673","https://openalex.org/W6846271118","https://openalex.org/W6857219422"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0],"primary":[1],"challenges":[2],"for":[3,62],"Autonomous":[4],"Vehicle":[5],"(AV)":[6],"navigation":[7],"in":[8,53,122],"complex":[9],"scenarios":[10],"are":[11],"to":[12,42,85,100,111,130,138],"effectively":[13],"handle":[14],"the":[15,18,47,59,87,90,98,102,132,140,156],"interactions":[16,61,74],"between":[17],"Ego-Vehicle":[19],"(EV)":[20],"and":[21,24,36,39,55,89,105,120,134,143,159,162,166],"surrounding":[22],"participants":[23],"generate":[25],"safe":[26],"yet":[27],"non-conservative":[28],"plans.":[29],"Current":[30],"approaches":[31],"employ":[32],"Planning-Informed":[33],"Prediction":[34,38],"(PIP)":[35],"Joint":[37],"Planning":[40],"(JPP)":[41],"model":[43,99,103],"these":[44],"interactions.":[45],"At":[46],"same":[48],"time,":[49],"information":[50],"loss":[51],"exists":[52],"PIP":[54],"JPP":[56],"always":[57],"ignores":[58],"intention":[60,73,80],"a":[63,78,94,117,127],"free":[64],"space":[65],"generation.":[66],"To":[67],"this":[68,70],"end,":[69],"paper":[71],"incorporates":[72],"into":[75],"JPP,":[76],"where":[77],"shared":[79],"interaction":[81],"module":[82],"is":[83],"adopted":[84],"both":[86],"planning":[88],"prediction":[91,142],"tasks":[92],"via":[93],"cross-query":[95],"mechanism,":[96],"enabling":[97],"reduce":[101],"size":[104],"accelerate":[106],"inference":[107,164],"speed.":[108],"In":[109],"contrast":[110],"previous":[112],"methods":[113],"that":[114],"typically":[115],"plan":[116],"single":[118],"trajectory":[119],"result":[121],"conservative":[123],"behaviors,":[124],"we":[125],"introduce":[126],"contingent-masked":[128],"planner":[129],"balance":[131],"safety":[133],"efficiency,":[135],"so":[136],"as":[137],"fulfill":[139],"scene-level":[141],"greatly":[144],"improve":[145],"computational":[146],"efficiency.":[147],"We":[148],"evaluate":[149],"our":[150],"approach":[151],"through":[152],"closed-loop":[153],"experiments":[154],"on":[155],"CARLA":[157],"longest6":[158],"Town05":[160],"benchmarks,":[161],"faster":[163],"speed":[165],"more":[167],"robust":[168],"performance":[169],"against":[170],"state-of-the-art":[171],"methods.":[172]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}