{"id":"https://openalex.org/W2925097399","doi":"https://doi.org/10.1109/iros40897.2019.8968553","title":"INFER: INtermediate representations for FuturE pRediction","display_name":"INFER: INtermediate representations for FuturE pRediction","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2925097399","doi":"https://doi.org/10.1109/iros40897.2019.8968553","mag":"2925097399"},"language":"en","primary_location":{"id":"doi:10.1109/iros40897.2019.8968553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros40897.2019.8968553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1903.10641","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044925553","display_name":"Shashank Srikanth","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Shashank Srikanth","raw_affiliation_strings":["IIIT,Robotics Research Center, KCIS,Hyderabad,India"],"affiliations":[{"raw_affiliation_string":"IIIT,Robotics Research Center, KCIS,Hyderabad,India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082039098","display_name":"Junaid Ansari","orcid":"https://orcid.org/0000-0002-7045-2550"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Junaid Ahmed Ansari","raw_affiliation_strings":["IIIT,Robotics Research Center, KCIS,Hyderabad,India"],"affiliations":[{"raw_affiliation_string":"IIIT,Robotics Research Center, KCIS,Hyderabad,India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068946360","display_name":"Karnik Ram R","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Karnik Ram","raw_affiliation_strings":["IIIT,Robotics Research Center, KCIS,Hyderabad,India"],"affiliations":[{"raw_affiliation_string":"IIIT,Robotics Research Center, KCIS,Hyderabad,India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111027039","display_name":"Sarthak Sharma","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sarthak Sharma","raw_affiliation_strings":["IIIT,Robotics Research Center, KCIS,Hyderabad,India"],"affiliations":[{"raw_affiliation_string":"IIIT,Robotics Research Center, KCIS,Hyderabad,India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108802276","display_name":"J. Krishna Murthy","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164802","display_name":"Mila - Quebec Artificial Intelligence Institute","ror":"https://ror.org/05c22rx21","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210164802"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"J. Krishna Murthy","raw_affiliation_strings":["Mila - Quebec AI Institute,Montreal,Canada"],"affiliations":[{"raw_affiliation_string":"Mila - Quebec AI Institute,Montreal,Canada","institution_ids":["https://openalex.org/I4210164802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000099300","display_name":"Madhava Krishna K","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. Madhava Krishna","raw_affiliation_strings":["IIIT,Robotics Research Center, KCIS,Hyderabad,India"],"affiliations":[{"raw_affiliation_string":"IIIT,Robotics Research Center, KCIS,Hyderabad,India","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5044925553"],"corresponding_institution_ids":["https://openalex.org/I65181880"],"apc_list":null,"apc_paid":null,"fwci":2.3503,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.91042464,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"942","last_page":"949"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9991999864578247,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9932000041007996,"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/semantics","display_name":"Semantics (computer science)","score":0.6789199113845825},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6776771545410156},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6758262515068054},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5360598564147949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4863494038581848},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4448431432247162},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4446643888950348},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4442433714866638},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.43091872334480286},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3899770677089691},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.15139877796173096},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12303462624549866},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07557865977287292}],"concepts":[{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6789199113845825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6776771545410156},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6758262515068054},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5360598564147949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4863494038581848},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4448431432247162},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4446643888950348},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4442433714866638},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.43091872334480286},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3899770677089691},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.15139877796173096},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12303462624549866},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07557865977287292},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/iros40897.2019.8968553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros40897.2019.8968553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1903.10641","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1903.10641","pdf_url":"https://arxiv.org/pdf/1903.10641","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2925097399","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1903.10641.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1903.10641","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1903.10641","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1903.10641","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1903.10641","pdf_url":"https://arxiv.org/pdf/1903.10641","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2925097399.pdf"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W3655591","https://openalex.org/W2097853086","https://openalex.org/W2145951052","https://openalex.org/W2150066425","https://openalex.org/W2336416123","https://openalex.org/W2340897893","https://openalex.org/W2415953079","https://openalex.org/W2518253596","https://openalex.org/W2519586580","https://openalex.org/W2558027072","https://openalex.org/W2607296803","https://openalex.org/W2609883120","https://openalex.org/W2769282630","https://openalex.org/W2772805599","https://openalex.org/W2793088004","https://openalex.org/W2803184913","https://openalex.org/W2890498246","https://openalex.org/W2892074995","https://openalex.org/W2911273949","https://openalex.org/W2962687116","https://openalex.org/W2963001155","https://openalex.org/W2963073398","https://openalex.org/W2963150697","https://openalex.org/W2963309363","https://openalex.org/W2963619659","https://openalex.org/W2963906196","https://openalex.org/W2964193755","https://openalex.org/W2964294967","https://openalex.org/W3105115779","https://openalex.org/W6600156266","https://openalex.org/W6726469348","https://openalex.org/W6726571494","https://openalex.org/W6730757611","https://openalex.org/W6740017579","https://openalex.org/W6745633015","https://openalex.org/W6745669638","https://openalex.org/W6749882464","https://openalex.org/W6752001723","https://openalex.org/W6754935277"],"related_works":["https://openalex.org/W2424778531","https://openalex.org/W2962687116","https://openalex.org/W2607296803","https://openalex.org/W2963001155","https://openalex.org/W2967177252","https://openalex.org/W2966667426","https://openalex.org/W3003834424","https://openalex.org/W2982745079","https://openalex.org/W2949767467","https://openalex.org/W2963945905","https://openalex.org/W2940129212","https://openalex.org/W2970116586","https://openalex.org/W2532516272","https://openalex.org/W2105934661","https://openalex.org/W3035574168","https://openalex.org/W2969294606","https://openalex.org/W2955189650","https://openalex.org/W2766836212","https://openalex.org/W2194775991","https://openalex.org/W2150066425"],"abstract_inverted_index":{"In":[0,52],"urban":[1],"driving":[2],"scenarios,":[3],"forecasting":[4],"future":[5,64,87],"trajectories":[6,88],"of":[7,11,89,113,130,152,164],"surrounding":[8],"vehicles":[9],"is":[10],"paramount":[12],"importance.":[13],"While":[14],"several":[15,140],"approaches":[16],"for":[17,63],"the":[18,23,153],"problem":[19],"have":[20,47],"been":[21,49],"proposed,":[22],"best-performing":[24],"ones":[25],"tend":[26],"to":[27,44,68,84],"require":[28],"extremely":[29],"detailed":[30],"input":[31],"representations":[32,58,117,178],"(e.g.":[33],"image":[34],"sequences).":[35],"As":[36,66],"a":[37,101,128],"result,":[38],"such":[39],"methods":[40],"do":[41],"not":[42,48],"generalize":[43,120],"datasets":[45],"they":[46],"trained":[50],"on.":[51],"this":[53],"paper,":[54],"we":[55,75,160,182],"propose":[56],"intermediate":[57],"that":[59,98,106],"are":[60],"particularly":[61],"well-suited":[62],"prediction.":[65],"opposed":[67],"using":[69],"texture":[70],"(color)":[71],"information":[72],"from":[73],"images,":[74],"condition":[76],"on":[77,149],"semantics":[78,99],"and":[79,118,132,142,179,187,194,200],"train":[80],"an":[81,162],"autoregressive":[82],"model":[83],"accurately":[85],"predict":[86],"traffic":[90],"participants":[91],"(vehicles)":[92],"(see":[93],"Fig.":[94],"above).":[95],"We":[96],"demonstrate":[97,161],"provide":[100],"significant":[102],"boost":[103],"over":[104,108],"techniques":[105],"operate":[107],"raw":[109],"pixel":[110],"intensities/disparities.":[111],"Uncharacteristic":[112],"state-of-the-art":[114],"approaches,":[115],"our":[116,165,185],"models":[119],"across":[121,134,139,144],"different":[122,136],"sensing":[123],"modalities":[124],"(stereo":[125],"imagery,":[126],"LiDAR,":[127],"combination":[129],"both),":[131],"also":[133,143],"completely":[135],"datasets,":[137],"collected":[138],"cities,":[141],"countries":[145],"where":[146],"people":[147],"drive":[148],"opposite":[150],"sides":[151],"road":[154],"(left-handed":[155],"vs":[156],"right-handed":[157],"driving).":[158],"Additionally,":[159],"application":[163],"approach":[166],"in":[167,176],"multi-object":[168],"tracking":[169],"(data":[170],"association).":[171],"To":[172],"foster":[173],"further":[174],"research":[175],"transferable":[177],"ensure":[180],"reproducibility,":[181],"release":[183],"all":[184],"code":[186,199],"data.":[188],"<sup":[189],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[190],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">33</sup>":[191],"More":[192],"qualitative":[193],"quantitative":[195],"results,":[196],"along":[197],"with":[198],"data":[201],"can":[202],"be":[203],"found":[204],"at":[205],"https://rebrand.ly/INFER-results.":[206]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":8}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}