{"id":"https://openalex.org/W2886741365","doi":"https://doi.org/10.17706/jcp.13.9.1127-1135","title":"Dynamic Models for Entity Trajectory Prediction Using Deep Learning","display_name":"Dynamic Models for Entity Trajectory Prediction Using Deep Learning","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2886741365","doi":"https://doi.org/10.17706/jcp.13.9.1127-1135","mag":"2886741365"},"language":"en","primary_location":{"id":"doi:10.17706/jcp.13.9.1127-1135","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jcp.13.9.1127-1135","pdf_url":"http://www.jcomputers.us/vol13/jcp1309-12.pdf","source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.jcomputers.us/vol13/jcp1309-12.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046885582","display_name":"Raghu Dhanya","orcid":null},"institutions":[{"id":"https://openalex.org/I1323219464","display_name":"Rajarajeswari Medical College and Hospital","ror":"https://ror.org/00gn6h668","country_code":"IN","type":"education","lineage":["https://openalex.org/I1323219464"]},{"id":"https://openalex.org/I196608512","display_name":"PES University","ror":"https://ror.org/05m169e78","country_code":"IN","type":"education","lineage":["https://openalex.org/I196608512"]},{"id":"https://openalex.org/I2801873993","display_name":"Ballari Medical College and Research Centre","ror":"https://ror.org/0164vc797","country_code":"IN","type":"healthcare","lineage":["https://openalex.org/I2801873993"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Dhanya Raghu","raw_affiliation_strings":["PES Institute of Technology; Rajarajeshwarinagar, Bangalore, Karnataka, India","PES Institute of Technology; Vijayanagar, Bangalore, Karnataka, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PES Institute of Technology; Rajarajeshwarinagar, Bangalore, Karnataka, India","institution_ids":["https://openalex.org/I1323219464"]},{"raw_affiliation_string":"PES Institute of Technology; Vijayanagar, Bangalore, Karnataka, India","institution_ids":["https://openalex.org/I196608512","https://openalex.org/I2801873993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046885582"],"corresponding_institution_ids":["https://openalex.org/I1323219464","https://openalex.org/I196608512","https://openalex.org/I2801873993"],"apc_list":null,"apc_paid":null,"fwci":0.161,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54039577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1127","last_page":"1135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9988999962806702,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9970999956130981,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.996999979019165,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7525631189346313},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6515144109725952},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5514008402824402},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5253531336784363},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34674954414367676},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.048720717430114746}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7525631189346313},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6515144109725952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5514008402824402},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5253531336784363},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34674954414367676},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.048720717430114746},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.17706/jcp.13.9.1127-1135","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jcp.13.9.1127-1135","pdf_url":"http://www.jcomputers.us/vol13/jcp1309-12.pdf","source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.17706/jcp.13.9.1127-1135","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jcp.13.9.1127-1135","pdf_url":"http://www.jcomputers.us/vol13/jcp1309-12.pdf","source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2886741365.pdf","grobid_xml":"https://content.openalex.org/works/W2886741365.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W116550656","https://openalex.org/W2079291076","https://openalex.org/W2124609748","https://openalex.org/W2134944993","https://openalex.org/W2232565949","https://openalex.org/W2257307118","https://openalex.org/W2403419699","https://openalex.org/W2424778531","https://openalex.org/W2505121268","https://openalex.org/W2518708963","https://openalex.org/W6678478692","https://openalex.org/W6679945829"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W3009238340","https://openalex.org/W2939353110","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3046775127"],"abstract_inverted_index":{"Human":[0],"motion":[1,142],"tracking":[2],"and":[3,77,88,95,113,136,156,167,181],"forecasting":[4],"has":[5,51],"posed":[6],"multiple":[7],"challenges":[8],"due":[9],"to":[10,31,38,84,91,98,110,131,139,159],"its":[11],"high":[12],"dimensional":[13],"interactions":[14],"with":[15,70],"the":[16,29,42,89,120,176],"physical":[17],"world.":[18],"The":[19,172],"uncertain":[20],"nature":[21],"of":[22,54,123],"human":[23,141,162],"robot":[24],"interaction":[25],"environment":[26],"stresses":[27],"on":[28],"need":[30,83],"develop":[32],"prognostic":[33],"methods":[34],"for":[35,62],"determining":[36],"responses":[37],"ambivalent":[39],"scenarios":[40],"in":[41,47,75,101,143],"environment.":[43],"However,":[44],"recent":[45],"growth":[46],"depth":[48],"camera":[49],"technologies":[50],"enhanced":[52],"performance":[53],"such":[55],"sequence":[56],"prediction":[57],"tasks.":[58,80],"A":[59],"growing":[60],"requirement":[61],"co-robotic":[63],"applications":[64],"that":[65],"place":[66],"robots":[67,106],"as":[68],"partners":[69],"humans":[71],"play":[72],"a":[73],"role":[74],"cooperative":[76],"tightly":[78],"interactive":[79],"Smart":[81],"machines":[82],"enhance":[85],"social":[86,163],"intelligence":[87],"capacity":[90],"make":[92],"stable,":[93],"safe":[94,135],"consistent":[96],"decisions":[97],"effectively":[99],"operate":[100],"unconstrained":[102],"crowded":[103],"scenes.":[104],"Autonomous":[105],"should":[107],"be":[108],"modelled":[109],"circumvent":[111],"obstacles":[112],"obey":[114],"common":[115],"sense":[116],"rules":[117],"by":[118],"understanding":[119],"personal":[121],"space":[122],"neighbors.":[124],"Intelligent":[125],"learning":[126,150],"techniques":[127],"are":[128,179],"being":[129],"exploited":[130],"build":[132],"socially":[133],"smart,":[134],"efficient":[137],"systems":[138],"predict":[140,168],"various":[144],"situations.":[145],"We":[146],"propose":[147],"three":[148],"deep":[149],"approaches":[151,178],"namely-pooling":[152],"technique,":[153],"hierarchical":[154],"RNN":[155],"attention":[157],"mechanism":[158],"learn":[160],"general":[161],"movements,":[164],"collision":[165],"avoidance":[166],"their":[169],"future":[170],"paths.":[171],"results":[173],"obtained":[174],"from":[175],"different":[177],"compared":[180],"analyzed.":[182]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
