{"id":"https://openalex.org/W2922179433","doi":"https://doi.org/10.5220/0007297500190026","title":"Path Predictions using Object Attributes and Semantic Environment","display_name":"Path Predictions using Object Attributes and Semantic Environment","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2922179433","doi":"https://doi.org/10.5220/0007297500190026","mag":"2922179433"},"language":"en","primary_location":{"id":"doi:10.5220/0007297500190026","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007297500190026","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0007297500190026","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068629204","display_name":"Hiroaki Minoura","orcid":"https://orcid.org/0000-0001-7373-1291"},"institutions":[{"id":"https://openalex.org/I184937672","display_name":"Chubu University","ror":"https://ror.org/02sps0775","country_code":"JP","type":"education","lineage":["https://openalex.org/I184937672"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hiroaki Minoura","raw_affiliation_strings":["Chubu Univeysity, Kasugai, Aichi and Japan, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Chubu Univeysity, Kasugai, Aichi and Japan, --- Select a Country ---","institution_ids":["https://openalex.org/I184937672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089532441","display_name":"Tsubasa Hirakawa","orcid":"https://orcid.org/0000-0003-3851-5221"},"institutions":[{"id":"https://openalex.org/I184937672","display_name":"Chubu University","ror":"https://ror.org/02sps0775","country_code":"JP","type":"education","lineage":["https://openalex.org/I184937672"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsubasa Hirakawa","raw_affiliation_strings":["Chubu Univeysity, Kasugai, Aichi and Japan, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Chubu Univeysity, Kasugai, Aichi and Japan, --- Select a Country ---","institution_ids":["https://openalex.org/I184937672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062009349","display_name":"Takayoshi Yamashita","orcid":"https://orcid.org/0000-0003-2631-9856"},"institutions":[{"id":"https://openalex.org/I184937672","display_name":"Chubu University","ror":"https://ror.org/02sps0775","country_code":"JP","type":"education","lineage":["https://openalex.org/I184937672"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takayoshi Yamashita","raw_affiliation_strings":["Chubu Univeysity, Kasugai, Aichi and Japan, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Chubu Univeysity, Kasugai, Aichi and Japan, --- Select a Country ---","institution_ids":["https://openalex.org/I184937672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011810133","display_name":"Hironobu Fujiyoshi","orcid":"https://orcid.org/0000-0001-7391-4725"},"institutions":[{"id":"https://openalex.org/I184937672","display_name":"Chubu University","ror":"https://ror.org/02sps0775","country_code":"JP","type":"education","lineage":["https://openalex.org/I184937672"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hironobu Fujiyoshi","raw_affiliation_strings":["Chubu Univeysity, Kasugai, Aichi and Japan, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Chubu Univeysity, Kasugai, Aichi and Japan, --- Select a Country ---","institution_ids":["https://openalex.org/I184937672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068629204"],"corresponding_institution_ids":["https://openalex.org/I184937672"],"apc_list":null,"apc_paid":null,"fwci":0.5044,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68123833,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"19","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9994000196456909,"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":0.9994000196456909,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9983999729156494,"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/computer-science","display_name":"Computer science","score":0.7934626340866089},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.7669842839241028},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6467223763465881},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6129270792007446},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6013166904449463},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.568618655204773},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5320269465446472},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5319467186927795},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.4457100033760071},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43831485509872437},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3551788330078125},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.12129786610603333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7934626340866089},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.7669842839241028},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6467223763465881},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6129270792007446},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6013166904449463},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.568618655204773},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5320269465446472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5319467186927795},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.4457100033760071},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43831485509872437},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3551788330078125},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.12129786610603333},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0007297500190026","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007297500190026","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0007297500190026","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007297500190026","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2004641798","https://openalex.org/W2056120433","https://openalex.org/W2101415982","https://openalex.org/W2101821104","https://openalex.org/W2146183743","https://openalex.org/W2147800946","https://openalex.org/W2157331557","https://openalex.org/W2158839502","https://openalex.org/W2167052694","https://openalex.org/W2245440101","https://openalex.org/W2286744228","https://openalex.org/W2415953079","https://openalex.org/W2424778531","https://openalex.org/W2443846596","https://openalex.org/W2519586580","https://openalex.org/W2607296803","https://openalex.org/W2738596168","https://openalex.org/W2911273949","https://openalex.org/W2949416428","https://openalex.org/W2962731062"],"related_works":["https://openalex.org/W4323768008","https://openalex.org/W1941703695","https://openalex.org/W4248382324","https://openalex.org/W3131574667","https://openalex.org/W2359600231","https://openalex.org/W2380019117","https://openalex.org/W3138952546","https://openalex.org/W1660309994","https://openalex.org/W2369187583","https://openalex.org/W3197207153"],"abstract_inverted_index":{"Path":[0],"prediction":[1,30,90,100,185],"methods":[2],"with":[3,93,170],"deep":[4],"learning":[5],"architectures":[6],"take":[7],"into":[8],"account":[9],"the":[10,15,18,22,70,74,80,104,113,136,140,143,181,184,188],"interaction":[11],"of":[12,17,76,82,142,183],"pedestrians":[13,58],"and":[14,36,62,110,138,187],"features":[16],"physical":[19,114,189],"environment":[20,115,190],"in":[21,91,123,175],"surrounding":[23,144],"area.":[24,145],"These":[25],"methods,":[26],"however,":[27],"process":[28],"all":[29],"targets":[31],"as":[32,107],"a":[33,42,98,124,152,168],"unified":[34],"category":[35],"it":[37,51,148],"becomes":[38],"difficult":[39],"to":[40,54,68,73,87,150],"predict":[41,69,151,167],"path":[43,71,89,99,153,169],"suitable":[44],"for":[45,157],"each":[46,158],"category.":[47],"In":[48],"real":[49],"scenes,":[50],"is":[52,65,155],"necessary":[53],"consider":[55],"not":[56],"only":[57],"but":[59],"also":[60],"automobiles":[61],"bicycles.":[63],"It":[64],"considered":[66],"possible":[67,149],"corresponding":[72],"type":[75,106],"target":[77,105,186],"by":[78,179],"considering":[79],"types":[81],"multiple":[83],"targets.":[84],"Therefore,":[85],"aiming":[86],"achieve":[88],"accordance":[92],"individual":[94],"categories,":[95],"we":[96],"propose":[97],"method":[101,119],"that":[102,128,154,163],"represents":[103,129],"an":[108],"attribute":[109,182],"simultaneously":[111],"considers":[112],"information.":[116,191],"The":[117],"proposed":[118],"inputs":[120],"feature":[121],"vectors":[122],"long":[125],"short-term":[126],"memory":[127],"i":[130],")":[131],"past":[132],"object":[133],"trajectory,":[134],"ii)":[135],"attribute,":[137],"iii)":[139],"semantics":[141],"This":[146],"makes":[147],"proper":[156],"target.":[159],"Experimental":[160],"results":[161],"show":[162],"our":[164],"approach":[165],"can":[166],"higher":[171],"precision.":[172],"Also,":[173],"changes":[174],"accuracy":[176],"were":[177],"analyzed":[178],"introducing":[180]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}