{"id":"https://openalex.org/W4286285610","doi":"https://doi.org/10.1109/iv51971.2022.9827239","title":"SAN: Scene Anchor Networks for Joint Action-Space Prediction","display_name":"SAN: Scene Anchor Networks for Joint Action-Space Prediction","publication_year":2022,"publication_date":"2022-06-05","ids":{"openalex":"https://openalex.org/W4286285610","doi":"https://doi.org/10.1109/iv51971.2022.9827239"},"language":"en","primary_location":{"id":"doi:10.1109/iv51971.2022.9827239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv51971.2022.9827239","pdf_url":null,"source":{"id":"https://openalex.org/S4363605370","display_name":"2022 IEEE Intelligent Vehicles Symposium (IV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5036836299","display_name":"Faris Janjo\u0161","orcid":null},"institutions":[{"id":"https://openalex.org/I889804353","display_name":"Robert Bosch (Germany)","ror":"https://ror.org/01fe0jt45","country_code":"DE","type":"company","lineage":["https://openalex.org/I889804353"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Faris Janjos","raw_affiliation_strings":["Robert Bosch GmbH, Corporate Research, Advanced Autonomous Systems,Renningen,Germany,71272"],"affiliations":[{"raw_affiliation_string":"Robert Bosch GmbH, Corporate Research, Advanced Autonomous Systems,Renningen,Germany,71272","institution_ids":["https://openalex.org/I889804353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059886843","display_name":"Maxim Dolgov","orcid":null},"institutions":[{"id":"https://openalex.org/I889804353","display_name":"Robert Bosch (Germany)","ror":"https://ror.org/01fe0jt45","country_code":"DE","type":"company","lineage":["https://openalex.org/I889804353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maxim Dolgov","raw_affiliation_strings":["Robert Bosch GmbH, Corporate Research, Advanced Autonomous Systems,Renningen,Germany,71272"],"affiliations":[{"raw_affiliation_string":"Robert Bosch GmbH, Corporate Research, Advanced Autonomous Systems,Renningen,Germany,71272","institution_ids":["https://openalex.org/I889804353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018262122","display_name":"Muhamed Kuric","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112585","display_name":"Virtual Vehicle (Austria)","ror":"https://ror.org/029rc9g37","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210112585"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Muhamed Kuric","raw_affiliation_strings":["Virtual Vehicle Research GmbH,Graz,Austria,8010"],"affiliations":[{"raw_affiliation_string":"Virtual Vehicle Research GmbH,Graz,Austria,8010","institution_ids":["https://openalex.org/I4210112585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085611540","display_name":"Yinzhe Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I889804353","display_name":"Robert Bosch (Germany)","ror":"https://ror.org/01fe0jt45","country_code":"DE","type":"company","lineage":["https://openalex.org/I889804353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yinzhe Shen","raw_affiliation_strings":["Robert Bosch GmbH, Corporate Research, Advanced Autonomous Systems,Renningen,Germany,71272"],"affiliations":[{"raw_affiliation_string":"Robert Bosch GmbH, Corporate Research, Advanced Autonomous Systems,Renningen,Germany,71272","institution_ids":["https://openalex.org/I889804353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060028048","display_name":"J. Marius Z\u00f6llner","orcid":"https://orcid.org/0000-0001-6190-7202"},"institutions":[{"id":"https://openalex.org/I143379178","display_name":"FZI Research Center for Information Technology","ror":"https://ror.org/04kdh6x72","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I143379178"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J. Marius Zollner","raw_affiliation_strings":["Research Center for Information Technology (FZI),Karlsruhe,Germany,76131"],"affiliations":[{"raw_affiliation_string":"Research Center for Information Technology (FZI),Karlsruhe,Germany,76131","institution_ids":["https://openalex.org/I143379178"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5036836299"],"corresponding_institution_ids":["https://openalex.org/I889804353"],"apc_list":null,"apc_paid":null,"fwci":0.3591,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.66635912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1751","last_page":"1756"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9993000030517578,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9993000030517578,"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":0.9990000128746033,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7724963426589966},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6895479559898376},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5486116409301758},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5293931365013123},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5073973536491394},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.48058557510375977},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.46779710054397583},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35563546419143677}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7724963426589966},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6895479559898376},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5486116409301758},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5293931365013123},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5073973536491394},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.48058557510375977},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.46779710054397583},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35563546419143677},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv51971.2022.9827239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv51971.2022.9827239","pdf_url":null,"source":{"id":"https://openalex.org/S4363605370","display_name":"2022 IEEE Intelligent Vehicles Symposium (IV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"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":[{"id":"https://openalex.org/F4320322835","display_name":"Ministry of Economic Affairs","ror":"https://ror.org/042ge0913"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2010535094","https://openalex.org/W2100315781","https://openalex.org/W2126926806","https://openalex.org/W2607296803","https://openalex.org/W2955863859","https://openalex.org/W2962101532","https://openalex.org/W2963238274","https://openalex.org/W2967177252","https://openalex.org/W2980087597","https://openalex.org/W2982745079","https://openalex.org/W2986406093","https://openalex.org/W3028769608","https://openalex.org/W3035498040","https://openalex.org/W3035671534","https://openalex.org/W3062588417","https://openalex.org/W3094502228","https://openalex.org/W3106944564","https://openalex.org/W3108262631","https://openalex.org/W3108486966","https://openalex.org/W3113026013","https://openalex.org/W3118240751","https://openalex.org/W3123730522","https://openalex.org/W3134623788","https://openalex.org/W3170672542","https://openalex.org/W3170929336","https://openalex.org/W3181350748","https://openalex.org/W3184258555","https://openalex.org/W3194018559","https://openalex.org/W3194814913","https://openalex.org/W3196864007","https://openalex.org/W3204875639","https://openalex.org/W3206626796","https://openalex.org/W3208105962","https://openalex.org/W3209373652","https://openalex.org/W3209892694","https://openalex.org/W3214950490","https://openalex.org/W3216573832","https://openalex.org/W4249736682","https://openalex.org/W4285813013","https://openalex.org/W4287685696","https://openalex.org/W4295312788","https://openalex.org/W4297733535","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6730042731","https://openalex.org/W6739901393","https://openalex.org/W6766065261","https://openalex.org/W6766978945","https://openalex.org/W6767342764","https://openalex.org/W6768870957","https://openalex.org/W6769043036","https://openalex.org/W6769782826","https://openalex.org/W6779371956","https://openalex.org/W6781231738","https://openalex.org/W6782088249","https://openalex.org/W6782468546","https://openalex.org/W6784333009","https://openalex.org/W6787247081","https://openalex.org/W6791253119","https://openalex.org/W6796539847","https://openalex.org/W6800926788","https://openalex.org/W6803697046"],"related_works":["https://openalex.org/W2095989223","https://openalex.org/W1562288862","https://openalex.org/W2687972263","https://openalex.org/W2029249305","https://openalex.org/W2511137960","https://openalex.org/W2144043954","https://openalex.org/W3214088465","https://openalex.org/W1978753601","https://openalex.org/W2115571026","https://openalex.org/W2000407620"],"abstract_inverted_index":{"In":[0,82],"this":[1],"work,":[2],"we":[3,84],"present":[4],"a":[5,39,75,96],"novel":[6],"multi-modal":[7],"trajectory":[8],"prediction":[9],"architecture.":[10],"We":[11],"decompose":[12],"the":[13,62,99,119,122,125,129],"uncertainty":[14,35],"of":[15,44,121],"future":[16],"trajectories":[17,69],"along":[18,29],"higher-level":[19],"scene":[20,34,45,59,76,113],"characteristics":[21],"and":[22,26,105],"lower-level":[23],"motion":[24,80],"characteristics,":[25],"model":[27,115],"multi-modality":[28],"both":[30],"dimensions":[31],"separately.":[32],"The":[33],"is":[36,47],"captured":[37],"in":[38],"joint":[40],"manner,":[41],"where":[42],"diversity":[43],"modes":[46],"ensured":[48],"by":[49],"training":[50],"multiple":[51,68],"separate":[52],"anchor":[53,114],"networks":[54],"which":[55,94],"specialize":[56],"to":[57],"different":[58],"realizations.":[60],"At":[61],"same":[63],"time,":[64],"each":[65],"network":[66],"outputs":[67],"that":[70],"cover":[71],"smaller":[72],"deviations":[73],"given":[74],"mode,":[77],"thus":[78],"capturing":[79],"modes.":[81],"addition,":[83],"train":[85],"our":[86,133],"architectures":[87],"with":[88],"an":[89],"outlier-robust":[90],"regression":[91],"loss":[92],"function,":[93],"offers":[95],"trade-off":[97],"between":[98],"outlier-sensitive":[100],"L":[101,107],"<inf":[102,108],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[103,109],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</inf>":[104],"outlier-insensitive":[106],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</inf>":[110],"losses.":[111],"Our":[112],"achieves":[116],"improvements":[117],"over":[118],"state":[120],"art":[123],"on":[124],"INTERACTION":[126],"dataset,":[127],"outperforming":[128],"StarNet":[130],"architecture":[131],"from":[132],"previous":[134],"work.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}