{"id":"https://openalex.org/W3208252121","doi":"https://doi.org/10.1109/iv48863.2021.9575958","title":"Social-IWSTCNN: A Social Interaction-Weighted Spatio- Temporal Convolutional Neural Network for Pedestrian Trajectory Prediction in Urban Traffic Scenarios","display_name":"Social-IWSTCNN: A Social Interaction-Weighted Spatio- Temporal Convolutional Neural Network for Pedestrian Trajectory Prediction in Urban Traffic Scenarios","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3208252121","doi":"https://doi.org/10.1109/iv48863.2021.9575958","mag":"3208252121"},"language":"en","primary_location":{"id":"doi:10.1109/iv48863.2021.9575958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv48863.2021.9575958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},"type":"article","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/A5100458129","display_name":"Chi Zhang","orcid":"https://orcid.org/0000-0001-6152-9387"},"institutions":[{"id":"https://openalex.org/I881427289","display_name":"University of Gothenburg","ror":"https://ror.org/01tm6cn81","country_code":"SE","type":"education","lineage":["https://openalex.org/I881427289"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Chi Zhang","raw_affiliation_strings":["University of Gothenburg, Gothenburg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Gothenburg, Gothenburg, Sweden","institution_ids":["https://openalex.org/I881427289"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101506146","display_name":"Christian Berger","orcid":"https://orcid.org/0000-0002-4828-1150"},"institutions":[{"id":"https://openalex.org/I881427289","display_name":"University of Gothenburg","ror":"https://ror.org/01tm6cn81","country_code":"SE","type":"education","lineage":["https://openalex.org/I881427289"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Christian Berger","raw_affiliation_strings":["University of Gothenburg, Gothenburg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Gothenburg, Gothenburg, Sweden","institution_ids":["https://openalex.org/I881427289"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042990848","display_name":"Marco Dozza","orcid":null},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Marco Dozza","raw_affiliation_strings":["Chalmers University of Technology, Gothenburg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3948,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.80743635,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1515","last_page":"1522"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998999834060669,"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":0.9998999834060669,"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/T10370","display_name":"Traffic and Road Safety","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7210215330123901},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6983575820922852},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6312254071235657},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.5758363008499146},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5746605396270752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4787270724773407},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4372135400772095},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4258577525615692},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4199722409248352},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.14665335416793823},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08091726899147034},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.07678914070129395}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7210215330123901},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6983575820922852},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6312254071235657},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.5758363008499146},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5746605396270752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4787270724773407},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4372135400772095},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4258577525615692},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4199722409248352},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.14665335416793823},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08091726899147034},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.07678914070129395},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iv48863.2021.9575958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv48863.2021.9575958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},{"id":"pmh:oai:research.chalmers.se:527104","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/527104","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1970206276","https://openalex.org/W2089584121","https://openalex.org/W2167052694","https://openalex.org/W2424778531","https://openalex.org/W2519887557","https://openalex.org/W2532516272","https://openalex.org/W2593239008","https://openalex.org/W2792764867","https://openalex.org/W2801667201","https://openalex.org/W2891058410","https://openalex.org/W2905385096","https://openalex.org/W2949767467","https://openalex.org/W2962687116","https://openalex.org/W2963001155","https://openalex.org/W2963353290","https://openalex.org/W2964015378","https://openalex.org/W2969294606","https://openalex.org/W2970219816","https://openalex.org/W3003906095","https://openalex.org/W3035096461","https://openalex.org/W3035172746","https://openalex.org/W4288287716","https://openalex.org/W6726873649"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W147410782","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W3211292372","https://openalex.org/W2810679507"],"abstract_inverted_index":{"Pedestrian":[0],"trajectory":[1],"prediction":[2],"in":[3,126,149,190,198],"urban":[4,106,127,133,138],"scenarios":[5,108],"is":[6,13,20,186],"essential":[7],"for":[8,110],"automated":[9],"driving.":[10],"This":[11],"task":[12],"challenging":[14],"because":[15],"the":[16,29,52,64,67,76,82,119,143,152,203],"behavior":[17],"of":[18,88,145],"pedestrians":[19],"influenced":[21],"by":[22],"both":[23,63,172],"their":[24],"own":[25],"history":[26],"paths":[27],"and":[28,66,84,95,112,136,169,177,194],"interactions":[30,37],"with":[31,38,43],"others.":[32],"Previous":[33],"research":[34],"modeled":[35],"these":[36],"pooling":[39],"mechanisms":[40],"or":[41],"aggregating":[42],"hand-crafted":[44],"attention":[45],"weights.":[46],"In":[47,114],"this":[48,115],"paper,":[49,116],"we":[50,117],"present":[51],"Social":[53,77],"Interaction-Weighted":[54],"Spatio-":[55],"Temporal":[56],"Convolutional":[57],"Neural":[58],"Network":[59],"(Social-IWSTCNN),":[60],"which":[61,98,130],"includes":[62,131],"spatial":[65,83],"temporal":[68],"features.":[69],"We":[70],"propose":[71],"a":[72],"novel":[73],"design,":[74],"namely":[75],"Interaction":[78],"Extractor,":[79],"to":[80,141,151],"learn":[81],"social":[85],"interaction":[86],"features":[87],"pedestrians.":[89],"Most":[90],"previous":[91],"works":[92],"used":[93],"ETH":[94],"UCY":[96],"datasets":[97],"include":[99],"five":[100],"scenes":[101,135,140],"but":[102],"do":[103],"not":[104],"cover":[105],"traffic":[107,128],"extensively":[109],"training":[111,134],"evaluation.":[113],"use":[118],"recently":[120],"released":[121],"large-scale":[122],"Waymo":[123],"Open":[124],"Dataset":[125],"scenarios,":[129],"374":[132],"76":[137],"testing":[139],"analyze":[142],"performance":[144],"our":[146,160,183],"proposed":[147],"algorithm":[148,161,207],"comparison":[150],"state-of-the-art":[153],"(SOTA)":[154],"models.":[155],"The":[156],"results":[157],"show":[158],"that":[159],"outperforms":[162],"SOTA":[163,206],"algorithms":[164],"such":[165],"as":[166],"Social-LSTM,":[167],"Social-GAN,":[168],"Social-STGCNN":[170],"on":[171],"Average":[173],"Displacement":[174,179],"Error":[175,180],"(ADE)":[176],"Final":[178],"(FDE).":[181],"Furthermore,":[182],"Social-":[184],"IWSTCNN":[185],"54.8":[187],"times":[188,196],"faster":[189,197],"data":[191],"pre-processing":[192],"speed,":[193],"4.7":[195],"total":[199],"test":[200],"speed":[201],"than":[202],"current":[204],"best":[205],"Social-STGCNN.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}