{"id":"https://openalex.org/W3014960474","doi":"https://doi.org/10.1145/3341105.3373877","title":"M2P3","display_name":"M2P3","publication_year":2020,"publication_date":"2020-03-29","ids":{"openalex":"https://openalex.org/W3014960474","doi":"https://doi.org/10.1145/3341105.3373877","mag":"3014960474"},"language":"en","primary_location":{"id":"doi:10.1145/3341105.3373877","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341105.3373877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th Annual ACM Symposium on Applied Computing","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/A5026676689","display_name":"Atanas Poibrenski","orcid":null},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Atanas Poibrenski","raw_affiliation_strings":["German Research Center for Artificial Intelligence (DFKI), Saarbr\u00fccken, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI), Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059552632","display_name":"Matthias Klusch","orcid":"https://orcid.org/0009-0009-5431-8640"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Klusch","raw_affiliation_strings":["German Research Center for Artificial Intelligence (DFKI), Saarbr\u00fccken, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI), Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073036457","display_name":"Igor Vozniak","orcid":null},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Igor Vozniak","raw_affiliation_strings":["German Research Center for Artificial Intelligence (DFKI), Saarbr\u00fccken, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI), Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035471597","display_name":"Christian M\u00fcller","orcid":"https://orcid.org/0000-0002-3216-8516"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian M\u00fcller","raw_affiliation_strings":["German Research Center for Artificial Intelligence (DFKI), Saarbr\u00fccken, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI), Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I33256026"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I33256026"],"apc_list":null,"apc_paid":null,"fwci":2.0375,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.86079712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"190","last_page":"197"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":1.0,"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":1.0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","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":0.7866551280021667},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.7141119241714478},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6552883982658386},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6452999711036682},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6351981163024902},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5968846082687378},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5167362093925476},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.43997785449028015},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4385646879673004},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4236398935317993},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.39242029190063477},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1196695864200592}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7866551280021667},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7141119241714478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6552883982658386},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6452999711036682},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6351981163024902},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5968846082687378},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5167362093925476},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.43997785449028015},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4385646879673004},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4236398935317993},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.39242029190063477},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1196695864200592},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3341105.3373877","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341105.3373877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W192919555","https://openalex.org/W1484629955","https://openalex.org/W1570411806","https://openalex.org/W1947050545","https://openalex.org/W1959608418","https://openalex.org/W2020209171","https://openalex.org/W2037629065","https://openalex.org/W2045893916","https://openalex.org/W2058340587","https://openalex.org/W2063362452","https://openalex.org/W2070678348","https://openalex.org/W2071711566","https://openalex.org/W2105934661","https://openalex.org/W2106229755","https://openalex.org/W2108341012","https://openalex.org/W2136668269","https://openalex.org/W2149276562","https://openalex.org/W2149584629","https://openalex.org/W2165605600","https://openalex.org/W2166813035","https://openalex.org/W2188365844","https://openalex.org/W2204609240","https://openalex.org/W2215480011","https://openalex.org/W2286744228","https://openalex.org/W2323711254","https://openalex.org/W2415953079","https://openalex.org/W2424778531","https://openalex.org/W2443846596","https://openalex.org/W2503948444","https://openalex.org/W2532516272","https://openalex.org/W2592496287","https://openalex.org/W2603203130","https://openalex.org/W2607296803","https://openalex.org/W2610060393","https://openalex.org/W2620265864","https://openalex.org/W2730106296","https://openalex.org/W2738596168","https://openalex.org/W2741156154","https://openalex.org/W2749908420","https://openalex.org/W2763331099","https://openalex.org/W2777985721","https://openalex.org/W2883770893","https://openalex.org/W2887767188","https://openalex.org/W2922219077","https://openalex.org/W2962687116","https://openalex.org/W2963001155","https://openalex.org/W2963150697","https://openalex.org/W2963337691","https://openalex.org/W2963538198","https://openalex.org/W2963697717","https://openalex.org/W2964121744","https://openalex.org/W2964222622","https://openalex.org/W2964295492","https://openalex.org/W2968393007","https://openalex.org/W2970733097","https://openalex.org/W3033920763","https://openalex.org/W3106257603","https://openalex.org/W3125189040","https://openalex.org/W4252959399"],"related_works":["https://openalex.org/W2283162247","https://openalex.org/W3158522902","https://openalex.org/W4212983513","https://openalex.org/W2524507886","https://openalex.org/W2314488738","https://openalex.org/W2052518016","https://openalex.org/W2771653066","https://openalex.org/W2085956791","https://openalex.org/W2901949253","https://openalex.org/W2081022503"],"abstract_inverted_index":{"Accurate":[0],"prediction":[1,33],"of":[2,6,16,34,38,44,75,79,92,118,136],"the":[3,28,125,137,141,148],"future":[4,77],"position":[5],"pedestrians":[7,40],"in":[8,26,69,82],"traffic":[9,84],"scenarios":[10],"is":[11,151],"required":[12],"for":[13,101,130],"safe":[14],"navigation":[15],"an":[17,97,107,123],"autonomous":[18],"vehicle":[19],"but":[20],"remains":[21],"a":[22,52,59,73,83,90],"challenge.":[23],"This":[24],"concerns,":[25],"particular,":[27],"effective":[29],"and":[30,116,120,143],"efficient":[31],"multimodal":[32],"most":[35,127],"likely":[36,128],"trajectories":[37,115],"tracked":[39,132],"from":[41],"egocentric":[42,102],"view":[43],"self-driving":[45],"car.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50],"present":[51],"novel":[53],"solution,":[54],"named":[55],"M2P3,":[56],"which":[57],"combines":[58],"conditional":[60],"variational":[61],"autoencoder":[62],"with":[63],"recurrent":[64],"neural":[65],"network":[66],"encoder-decoder":[67],"architecture":[68,139],"order":[70],"to":[71,154],"predict":[72],"set":[74],"possible":[76],"locations":[78],"each":[80,131],"pedestrian":[81],"scene.":[85],"The":[86],"M2P3":[87,149],"system":[88,150],"uses":[89],"sequence":[91],"RGB":[93],"images":[94],"delivered":[95],"through":[96],"internal":[98],"vehicle-mounted":[99],"camera":[100],"vision.":[103],"It":[104],"takes":[105],"as":[106,122],"input":[108],"only":[109],"two":[110],"modes,":[111],"that":[112,147],"are":[113],"past":[114],"scales":[117],"pedestrians,":[119],"delivers":[121],"output":[124],"three":[126],"paths":[129],"pedestrian.":[133],"Experimental":[134],"evaluation":[135],"proposed":[138],"on":[140],"JAAD":[142],"ETH/UCY":[144],"datasets":[145],"reveal":[146],"significantly":[152],"superior":[153],"selected":[155],"state-of-the-art":[156],"solutions.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2020-04-10T00:00:00"}