{"id":"https://openalex.org/W2939763863","doi":"https://doi.org/10.1109/icassp.2019.8682300","title":"Jointly Predicting Future Sequence and Steering Angles for Dynamic Driving Scenes","display_name":"Jointly Predicting Future Sequence and Steering Angles for Dynamic Driving Scenes","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2939763863","doi":"https://doi.org/10.1109/icassp.2019.8682300","mag":"2939763863"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8682300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101668335","display_name":"Li Du","orcid":"https://orcid.org/0000-0001-6346-6615"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Du","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, PRC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, PRC","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053619472","display_name":"Zhicheng Zhao","orcid":"https://orcid.org/0000-0001-6506-7298"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhicheng Zhao","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, PRC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, PRC","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101754632","display_name":"Fei Su","orcid":"https://orcid.org/0000-0003-4245-4687"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Su","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, PRC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, PRC","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031199063","display_name":"Leiquan Wang","orcid":"https://orcid.org/0000-0003-4314-0030"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leiquan Wang","raw_affiliation_strings":["College of computer and Communication Engineering, China University of Petroleum, Qingdao, PRC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of computer and Communication Engineering, China University of Petroleum, Qingdao, PRC","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077956590","display_name":"Chaohong An","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaohong An","raw_affiliation_strings":["College of computer and Communication Engineering, China University of Petroleum, Qingdao, PRC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of computer and Communication Engineering, China University of Petroleum, Qingdao, PRC","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4575,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.69410142,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"636","issue":null,"first_page":"4070","last_page":"4074"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9994000196456909,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9994000196456909,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9975000023841858,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9966999888420105,"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":0.8426164388656616},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7382754683494568},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6957871913909912},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6572943925857544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6201984882354736},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5977975130081177},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46071797609329224},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.45923978090286255},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45279157161712646},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.43974992632865906},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.43383973836898804},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4270651042461395},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2033294141292572},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07551267743110657}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8426164388656616},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7382754683494568},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6957871913909912},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6572943925857544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6201984882354736},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5977975130081177},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46071797609329224},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.45923978090286255},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45279157161712646},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.43974992632865906},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.43383973836898804},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4270651042461395},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2033294141292572},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07551267743110657},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"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/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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2019.8682300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1758154469","https://openalex.org/W1955857676","https://openalex.org/W1971581013","https://openalex.org/W1973207880","https://openalex.org/W2032676284","https://openalex.org/W2099471712","https://openalex.org/W2115579991","https://openalex.org/W2116261113","https://openalex.org/W2119885245","https://openalex.org/W2133665775","https://openalex.org/W2138960858","https://openalex.org/W2342840547","https://openalex.org/W2401640538","https://openalex.org/W2467604901","https://openalex.org/W2611430843","https://openalex.org/W2963377935","https://openalex.org/W2963547393","https://openalex.org/W2963881378","https://openalex.org/W4294554810","https://openalex.org/W4300172425","https://openalex.org/W4320013936","https://openalex.org/W6680241920","https://openalex.org/W6696405545","https://openalex.org/W6704559304","https://openalex.org/W6713563955","https://openalex.org/W6720208624","https://openalex.org/W6720244596","https://openalex.org/W6737454590"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"Generative":[0],"Adversarial":[1],"Network":[2],"(GAN)":[3],"has":[4],"attracted":[5],"rising":[6],"attention":[7],"for":[8,26,31,62],"video":[9,42],"future":[10,57,100],"sequence":[11,58,101],"prediction":[12,43,154],"in":[13],"driving":[14,64,86,107,143],"scenes.":[15,87],"However,":[16],"the":[17,24,52,69,80,99,131,147],"images":[18],"generated":[19,33],"by":[20,49],"GAN":[21],"often":[22],"miss":[23],"target":[25],"lack":[27],"of":[28,55,84,105,133],"any":[29],"constraints":[30],"its":[32],"target.":[34],"In":[35],"this":[36],"paper,":[37],"an":[38,110],"encoder-decoder":[39],"based":[40,73],"multi-task":[41,94],"network":[44],"-":[45],"SegVAE":[46],"is":[47,71,90,114],"proposed":[48,148],"simultaneously":[50],"accomplishing":[51],"predictions":[53],"(generations)":[54],"both":[56],"and":[59,102,120,141,156,160],"steering":[60,103],"angles":[61,104],"egocentric":[63],"videos":[65],"at":[66],"pixel-level.":[67],"Specifically,":[68],"encoder":[70],"constructed":[72],"on":[74,138],"Varitional":[75,117],"Auto-Encoder":[76,118],"(VAE)":[77,119],"to":[78,96,129],"learn":[79],"complex":[81],"latent":[82],"distribution":[83],"real":[85],"The":[88,135],"decoder":[89],"exploited":[91],"with":[92],"a":[93],"manner":[95],"jointly":[97],"predict":[98],"dynamic":[106],"scenes,":[108],"where":[109],"enhanced":[111],"generation":[112],"mechanism":[113],"also":[115],"proposed.":[116],"Long":[121],"Short":[122],"Term":[123],"Memory":[124],"Networks":[125],"(LSTM)":[126],"are":[127],"introduced":[128],"optimize":[130],"learning":[132],"SegVAE.":[134],"experimental":[136],"results":[137],"public":[139],"KITTI":[140],"NVIDIA":[142],"datasets":[144],"indicate":[145],"that":[146],"Seg-VAE":[149],"can":[150],"effectively":[151],"mimic":[152],"humans":[153],"mechanism,":[155],"outperform":[157],"standard":[158],"VAE":[159],"CNN-based":[161],"generative":[162],"adversarial":[163],"network.":[164]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
