{"id":"https://openalex.org/W4416250965","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228062","title":"MASTP: More Accurate and Safer Trajectory Prediction Based on a Trajectory Planner","display_name":"MASTP: More Accurate and Safer Trajectory Prediction Based on a Trajectory Planner","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416250965","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228062"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5109483314","display_name":"Jiaxiang Wang","orcid":"https://orcid.org/0009-0003-2301-5854"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxiang Wang","raw_affiliation_strings":["Huawei Technologies Co., Ltd,Xian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd,Xian,China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104260152","display_name":"Ran Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Ding","raw_affiliation_strings":["Huawei Technologies Co., Ltd,Xian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd,Xian,China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yaode Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaode Wang","raw_affiliation_strings":["Huawei Technologies Co., Ltd,Xian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd,Xian,China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100514036","display_name":"Zhiwei Dong","orcid":"https://orcid.org/0009-0001-4198-8858"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Dong","raw_affiliation_strings":["Huawei Technologies Co., Ltd,Xian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd,Xian,China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020370897","display_name":"Qian Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Hou","raw_affiliation_strings":["Huawei Technologies Co., Ltd,Xian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd,Xian,China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103278314","display_name":"Jia Guo","orcid":"https://orcid.org/0000-0003-3371-5857"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Guo","raw_affiliation_strings":["Huawei Technologies Co., Ltd,Xian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd,Xian,China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2250955327"],"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":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9864000082015991,"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":0.9864000082015991,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.0017999999690800905,"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/T10524","display_name":"Traffic control and management","score":0.0017000000225380063,"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/trajectory","display_name":"Trajectory","score":0.9067000150680542},{"id":"https://openalex.org/keywords/safer","display_name":"SAFER","score":0.7529000043869019},{"id":"https://openalex.org/keywords/planner","display_name":"Planner","score":0.6183000206947327},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.553600013256073},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.4383000135421753},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.36090001463890076},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.3391000032424927}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.9067000150680542},{"id":"https://openalex.org/C2776654903","wikidata":"https://www.wikidata.org/wiki/Q2601463","display_name":"SAFER","level":2,"score":0.7529000043869019},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.631600022315979},{"id":"https://openalex.org/C2776999362","wikidata":"https://www.wikidata.org/wiki/Q2349274","display_name":"Planner","level":2,"score":0.6183000206947327},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.553600013256073},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.4383000135421753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3684000074863434},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.36090001463890076},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.3391000032424927},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.33160001039505005},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3212999999523163},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.30329999327659607},{"id":"https://openalex.org/C173246807","wikidata":"https://www.wikidata.org/wiki/Q7833062","display_name":"Trajectory optimization","level":3,"score":0.2994999885559082},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.28940001130104065},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2865999937057495},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.2847999930381775},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.26840001344680786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1969483458","https://openalex.org/W2107338474","https://openalex.org/W2169528473","https://openalex.org/W2955189650","https://openalex.org/W3013376041","https://openalex.org/W3035054225","https://openalex.org/W3035671534","https://openalex.org/W3116651890","https://openalex.org/W3169575318","https://openalex.org/W3204875639","https://openalex.org/W4312731878","https://openalex.org/W4383109074","https://openalex.org/W4383109107","https://openalex.org/W4386076672","https://openalex.org/W4386083117","https://openalex.org/W4390872715","https://openalex.org/W4402816840","https://openalex.org/W4402916169","https://openalex.org/W4409366412","https://openalex.org/W4409367143","https://openalex.org/W4415795959","https://openalex.org/W4415798884"],"related_works":[],"abstract_inverted_index":{"Accurately":[0],"predicting":[1],"future":[2],"vehicle":[3,30,164],"trajectories":[4],"that":[5,99],"comply":[6],"with":[7,120,167],"the":[8,14,56],"traffic":[9,39,111],"scenario":[10,112,137],"is":[11],"crucial":[12],"for":[13,87],"safety":[15],"of":[16],"autonomous":[17],"driving":[18,54],"systems.":[19],"In":[20,59],"recent":[21],"years,":[22],"deep":[23],"learning-based":[24],"methods":[25],"have":[26],"become":[27],"dominant":[28],"in":[29,49,55],"motion":[31],"prediction":[32,68,141,155],"by":[33,104],"effectively":[34],"capturing":[35],"complex":[36],"interactions":[37],"within":[38],"scenarios.":[40],"However,":[41],"existing":[42,154],"models":[43],"often":[44],"generate":[45,77],"infeasible":[46,133],"trajectory":[47,67,73,97,134,165],"predictions":[48,166],"certain":[50],"scenarios,":[51],"such":[52],"as":[53],"wrong":[57],"lane.":[58],"this":[60],"paper,":[61],"we":[62],"propose":[63],"MASTP,":[64],"an":[65],"innovative":[66],"method":[69,86,144],"based":[70],"on":[71,170],"a":[72,85,94,124],"planner,":[74],"designed":[75],"to":[76],"more":[78,159],"accurate":[79],"and":[80,92,117,139,157,161],"safer":[81,162],"predictions.":[82],"We":[83],"introduce":[84],"extracting":[88],"feasible":[89],"lane":[90],"centerlines":[91],"present":[93],"modal":[95],"adaptive":[96],"planner":[98,108,126],"incorporates":[100],"speed":[101],"estimation,":[102],"guided":[103],"these":[105],"centerlines.":[106],"This":[107],"explicitly":[109],"integrates":[110],"constraints,":[113,116],"ego-vehicle":[114],"kinematic":[115],"interaction":[118],"constraints":[119],"other":[121],"vehicles,":[122],"providing":[123],"model-agnostic":[125],"fusion":[127],"approach.":[128],"Our":[129,143],"approach":[130],"significantly":[131],"reduces":[132],"predictions,":[135],"enhancing":[136],"compliance":[138],"improving":[140],"accuracy.":[142],"offers":[145],"stronger":[146],"interpretability,":[147],"can":[148],"be":[149],"easily":[150],"integrated":[151],"into":[152],"various":[153],"models,":[156],"generates":[158],"precise":[160],"multimodal":[163],"reduced":[168],"reliance":[169],"training":[171],"data.":[172]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-14T00:00:00"}