{"id":"https://openalex.org/W3011927169","doi":"https://doi.org/10.1109/mra.2020.2976313","title":"Unsupervised Pedestrian Pose Prediction: A Deep Predictive Coding Network-Based Approach for Autonomous Vehicle Perception","display_name":"Unsupervised Pedestrian Pose Prediction: A Deep Predictive Coding Network-Based Approach for Autonomous Vehicle Perception","publication_year":2020,"publication_date":"2020-03-19","ids":{"openalex":"https://openalex.org/W3011927169","doi":"https://doi.org/10.1109/mra.2020.2976313","mag":"3011927169"},"language":"en","primary_location":{"id":"doi:10.1109/mra.2020.2976313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mra.2020.2976313","pdf_url":null,"source":{"id":"https://openalex.org/S132261465","display_name":"IEEE Robotics & Automation Magazine","issn_l":"1070-9932","issn":["1070-9932","1558-223X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics & Automation Magazine","raw_type":"journal-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/A5076328887","display_name":"Xiaoxiao Du","orcid":"https://orcid.org/0000-0003-1504-966X"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoxiao Du","raw_affiliation_strings":["Department of Naval Architecture and Marine Engineering, University of Michigan, Ann Arbor","University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":"https://orcid.org/0000-0003-1504-966X","affiliations":[{"raw_affiliation_string":"Department of Naval Architecture and Marine Engineering, University of Michigan, Ann Arbor","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053632225","display_name":"Ram Vasudevan","orcid":"https://orcid.org/0000-0003-1978-0572"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ram Vasudevan","raw_affiliation_strings":["Department of Mechanical Engineering, University of Michigan, Ann Arbor","University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":"https://orcid.org/0000-0003-1978-0572","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Michigan, Ann Arbor","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089990642","display_name":"Matthew Johnson\u2010Roberson","orcid":"https://orcid.org/0000-0002-0506-907X"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Johnson-Roberson","raw_affiliation_strings":["Department of Naval Architecture and Marine Engineering, University of Michigan, Ann Arbor","University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":"https://orcid.org/0000-0002-0506-907X","affiliations":[{"raw_affiliation_string":"Department of Naval Architecture and Marine Engineering, University of Michigan, Ann Arbor","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":0.1983,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.5175841,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"27","issue":"2","first_page":"129","last_page":"138"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9987999796867371,"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":0.9979000091552734,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7929990291595459},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.69342041015625},{"id":"https://openalex.org/keywords/humanoid-robot","display_name":"Humanoid robot","score":0.5996875166893005},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5712488293647766},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.5673385858535767},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5632060170173645},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5472731590270996},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.48946988582611084},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.44173485040664673},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4293363690376282},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.42017805576324463},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4147331118583679},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3790905475616455},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2622166574001312}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7929990291595459},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.69342041015625},{"id":"https://openalex.org/C60692881","wikidata":"https://www.wikidata.org/wiki/Q584529","display_name":"Humanoid robot","level":3,"score":0.5996875166893005},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5712488293647766},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.5673385858535767},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5632060170173645},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5472731590270996},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.48946988582611084},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.44173485040664673},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4293363690376282},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.42017805576324463},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4147331118583679},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3790905475616455},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2622166574001312},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mra.2020.2976313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mra.2020.2976313","pdf_url":null,"source":{"id":"https://openalex.org/S132261465","display_name":"IEEE Robotics & Automation Magazine","issn_l":"1070-9932","issn":["1070-9932","1558-223X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics & Automation Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1539282749","https://openalex.org/W1735317348","https://openalex.org/W2064675550","https://openalex.org/W2115579991","https://openalex.org/W2123564449","https://openalex.org/W2133665775","https://openalex.org/W2522471310","https://openalex.org/W2592496287","https://openalex.org/W2771583656","https://openalex.org/W2782064812","https://openalex.org/W2789905221","https://openalex.org/W2793813056","https://openalex.org/W2889737406","https://openalex.org/W2890377224","https://openalex.org/W2891091472","https://openalex.org/W2922427364","https://openalex.org/W2962730651","https://openalex.org/W2963150697","https://openalex.org/W2964151830","https://openalex.org/W2996489182","https://openalex.org/W3100139459","https://openalex.org/W4294554810","https://openalex.org/W6713563955","https://openalex.org/W6727190014"],"related_works":["https://openalex.org/W2745063183","https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W4256317079","https://openalex.org/W2101960027","https://openalex.org/W2197846993","https://openalex.org/W2992534160","https://openalex.org/W1595058678","https://openalex.org/W3022812046","https://openalex.org/W2745830841"],"abstract_inverted_index":{"Pedestrian":[0],"pose":[1,66,96],"prediction":[2,67,97],"is":[3],"an":[4],"important":[5],"topic,":[6],"related":[7],"closely":[8],"to":[9],"robotics":[10,103],"and":[11,18,26,40,44,50,72,93,98,104],"automation.":[12],"Accurate":[13],"predictions":[14],"of":[15,28,47,76],"human":[16,29],"poses":[17],"motion":[19],"can":[20],"facilitate":[21],"a":[22,56],"more":[23],"thorough":[24],"understanding":[25],"analysis":[27],"behavior,":[30],"which":[31],"benefits":[32],"real-world":[33,78],"applications":[34,101],"such":[35],"as":[36],"human-robot":[37],"interaction,":[38],"humanoid":[39],"bipedal":[41],"robot":[42],"design,":[43],"safe":[45],"navigation":[46],"mobile":[48],"robots":[49],"autonomous":[51,79],"vehicles.":[52],"This":[53],"article":[54,84],"describes":[55],"deep":[57],"predictive":[58],"coding":[59],"network":[60],"(PredNet)-based":[61],"approach":[62],"for":[63,88],"unsupervised":[64,92],"pedestrian":[65,95],"from":[68],"2D":[69],"camera":[70],"imagery":[71],"provides":[73],"experimental":[74],"results":[75],"two":[77],"vehicle":[80],"data":[81],"sets.":[82],"The":[83],"also":[85],"discusses":[86],"topics":[87],"future":[89],"work":[90],"in":[91,102],"semisupervised":[94],"its":[99],"potential":[100],"automation":[105],"systems.":[106]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}