{"id":"https://openalex.org/W3094420064","doi":"https://doi.org/10.1109/ro-man47096.2020.9223554","title":"Pedestrian Density Based Path Recognition and Risk Prediction for Autonomous Vehicles","display_name":"Pedestrian Density Based Path Recognition and Risk Prediction for Autonomous Vehicles","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3094420064","doi":"https://doi.org/10.1109/ro-man47096.2020.9223554","mag":"3094420064"},"language":"en","primary_location":{"id":"doi:10.1109/ro-man47096.2020.9223554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man47096.2020.9223554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","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/A5017970789","display_name":"Kasra Mokhtari","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kasra Mokhtari","raw_affiliation_strings":["Department of Mechanical Engineering, The Pennsylvania State University, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, The Pennsylvania State University, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112638284","display_name":"Ali Ayub","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Ayub","raw_affiliation_strings":["Department of Electrical Engineering, The Pennsylvania State University, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, The Pennsylvania State University, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034672129","display_name":"Vidullan Surendran","orcid":"https://orcid.org/0000-0002-9951-3513"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vidullan Surendran","raw_affiliation_strings":["Department of Aerospace Engineering, The Pennsylvania State University, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Aerospace Engineering, The Pennsylvania State University, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045198429","display_name":"Alan R. Wagner","orcid":"https://orcid.org/0000-0002-7941-3814"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alan R. Wagner","raw_affiliation_strings":["Department of Aerospace Engineering, The Pennsylvania State University, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Aerospace Engineering, The Pennsylvania State University, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":0.5874,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.69907829,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/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":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.9185037612915039},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7095142602920532},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.6990766525268555},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.6283838152885437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.516825258731842},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.397617906332016},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36537641286849976},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34002813696861267},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.2446066439151764},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14663535356521606}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.9185037612915039},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7095142602920532},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.6990766525268555},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.6283838152885437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.516825258731842},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.397617906332016},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36537641286849976},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34002813696861267},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.2446066439151764},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14663535356521606},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ro-man47096.2020.9223554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man47096.2020.9223554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W80737848","https://openalex.org/W86393979","https://openalex.org/W120347078","https://openalex.org/W1539282749","https://openalex.org/W1543332422","https://openalex.org/W1605929701","https://openalex.org/W1920673662","https://openalex.org/W1963649406","https://openalex.org/W2033881875","https://openalex.org/W2046213647","https://openalex.org/W2056427752","https://openalex.org/W2064675550","https://openalex.org/W2068499326","https://openalex.org/W2088604406","https://openalex.org/W2100469802","https://openalex.org/W2111737705","https://openalex.org/W2128670446","https://openalex.org/W2153195033","https://openalex.org/W2169033759","https://openalex.org/W2273887461","https://openalex.org/W2411577903","https://openalex.org/W2542192499","https://openalex.org/W2618376746","https://openalex.org/W2782064812","https://openalex.org/W2783258213","https://openalex.org/W2798542761","https://openalex.org/W2806710589","https://openalex.org/W2895454319","https://openalex.org/W2897777157","https://openalex.org/W2909253672","https://openalex.org/W2909746114","https://openalex.org/W2912927360","https://openalex.org/W2921488163","https://openalex.org/W2963315052","https://openalex.org/W2963579094","https://openalex.org/W2963697717","https://openalex.org/W2967783742","https://openalex.org/W2978238007","https://openalex.org/W3000359841","https://openalex.org/W3001949455","https://openalex.org/W3033343679","https://openalex.org/W3043615800","https://openalex.org/W3105117126","https://openalex.org/W6632779511","https://openalex.org/W6737681302","https://openalex.org/W6750697433","https://openalex.org/W6772672915","https://openalex.org/W6773026248","https://openalex.org/W6921918905"],"related_works":["https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W2101960027","https://openalex.org/W2197846993","https://openalex.org/W49697837","https://openalex.org/W2586575957","https://openalex.org/W3122828758","https://openalex.org/W2170799233","https://openalex.org/W2972620127","https://openalex.org/W2981141433"],"abstract_inverted_index":{"Human":[0],"drivers":[1],"continually":[2],"use":[3,69],"social":[4],"information":[5,16,32,132],"to":[6,42,75,135],"inform":[7],"their":[8],"decision":[9,20],"making.":[10],"We":[11,65],"believe":[12],"that":[13,54,60,89,123],"incorporating":[14],"this":[15],"into":[17],"autonomous":[18],"vehicle":[19,56,112],"making":[21],"would":[22],"improve":[23],"performance":[24],"and":[25,48,82,103,138],"importantly":[26],"safety.":[27],"This":[28],"paper":[29],"investigates":[30],"how":[31],"in":[33,62],"the":[34,44,50,55,63,93,107,111],"form":[35],"of":[36,52,109,118,131],"pedestrian":[37,83,98,124],"density":[38,84,99,125],"can":[39,91,105,126],"be":[40],"used":[41],"identify":[43,92],"path":[45,61,80,95,140],"being":[46],"travelled":[47],"predict":[49,106],"number":[51,108],"pedestrians":[53,110],"will":[57,113],"encounter":[58,114],"along":[59],"future.":[64],"present":[66],"experiments":[67],"which":[68],"camera":[70],"data":[71],"captured":[72],"while":[73],"driving":[74],"evaluate":[76],"our":[77],"methods":[78],"for":[79,139],"recognition":[81],"prediction.":[85,142],"Our":[86],"results":[87,121],"show":[88],"we":[90,104],"vehicle's":[94],"using":[96],"only":[97],"at":[100],"92.4%":[101],"accuracy":[102,117],"with":[115],"an":[116],"70.45%.":[119],"These":[120],"demonstrate":[122],"serve":[127],"as":[128],"a":[129],"source":[130],"both":[133],"perhaps":[134],"augment":[136],"localization":[137],"risk":[141]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}