{"id":"https://openalex.org/W3004816380","doi":"https://doi.org/10.1109/icar46387.2019.8981587","title":"Pedestrian Flow Estimation Using Sparse Observation for Autonomous Vehicles","display_name":"Pedestrian Flow Estimation Using Sparse Observation for Autonomous Vehicles","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3004816380","doi":"https://doi.org/10.1109/icar46387.2019.8981587","mag":"3004816380"},"language":"en","primary_location":{"id":"doi:10.1109/icar46387.2019.8981587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icar46387.2019.8981587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 19th International Conference on Advanced Robotics (ICAR)","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/A5041280287","display_name":"Ranulfo Bezerra","orcid":"https://orcid.org/0000-0001-6017-5724"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ranulfo P. Bezerra Neto","raw_affiliation_strings":["Graduate School of Information Science, Tohoku Univieristy,Sendai,Japan","Graduate School of Information Science, Tohoku Univieristy, Sendai, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Tohoku Univieristy,Sendai,Japan","institution_ids":["https://openalex.org/I201537933"]},{"raw_affiliation_string":"Graduate School of Information Science, Tohoku Univieristy, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055778007","display_name":"Kazunori Ohno","orcid":"https://orcid.org/0000-0003-3958-2901"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazunori Ohno","raw_affiliation_strings":["Graduate School of Information Science, Tohoku Univieristy,Sendai,Japan","Graduate School of Information Science, Tohoku Univieristy, Sendai, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Tohoku Univieristy,Sendai,Japan","institution_ids":["https://openalex.org/I201537933"]},{"raw_affiliation_string":"Graduate School of Information Science, Tohoku Univieristy, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065513440","display_name":"Thomas Westfechtel","orcid":"https://orcid.org/0000-0002-3665-5725"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Thomas Westfechtel","raw_affiliation_strings":["Graduate School of Information Science, Tohoku Univieristy,Sendai,Japan","Graduate School of Information Science, Tohoku Univieristy, Sendai, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Tohoku Univieristy,Sendai,Japan","institution_ids":["https://openalex.org/I201537933"]},{"raw_affiliation_string":"Graduate School of Information Science, Tohoku Univieristy, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014118063","display_name":"Satosh\u0131 Tadokoro","orcid":"https://orcid.org/0000-0002-5571-4276"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Tadokoro","raw_affiliation_strings":["Graduate School of Information Science, Tohoku Univieristy,Sendai,Japan","Graduate School of Information Science, Tohoku Univieristy, Sendai, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Tohoku Univieristy,Sendai,Japan","institution_ids":["https://openalex.org/I201537933"]},{"raw_affiliation_string":"Graduate School of Information Science, Tohoku Univieristy, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5041280287"],"corresponding_institution_ids":["https://openalex.org/I201537933"],"apc_list":null,"apc_paid":null,"fwci":0.1022,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48192049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"779","last_page":"784"},"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":0.9994999766349792,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9973000288009644,"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/pedestrian","display_name":"Pedestrian","score":0.8646541237831116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.686617374420166},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6229641437530518},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5901410579681396},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5264678001403809},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4965093731880188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4722667932510376},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.42893779277801514},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33125030994415283},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.2129274308681488},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1808154284954071},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15258976817131042},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.13964104652404785},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11117905378341675}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.8646541237831116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.686617374420166},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6229641437530518},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5901410579681396},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5264678001403809},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4965093731880188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4722667932510376},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.42893779277801514},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33125030994415283},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.2129274308681488},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1808154284954071},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15258976817131042},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.13964104652404785},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11117905378341675}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icar46387.2019.8981587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icar46387.2019.8981587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 19th International Conference on Advanced Robotics (ICAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8500000238418579,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1993201133","https://openalex.org/W2067191022","https://openalex.org/W2097138498","https://openalex.org/W2554458481","https://openalex.org/W2600870740","https://openalex.org/W2784087675","https://openalex.org/W2905513778","https://openalex.org/W2908947648","https://openalex.org/W2918336283","https://openalex.org/W2963697717","https://openalex.org/W2990101931","https://openalex.org/W3023314667","https://openalex.org/W3103973397","https://openalex.org/W6760120621"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W4281783339","https://openalex.org/W1964041166","https://openalex.org/W4390887692","https://openalex.org/W4221065211"],"abstract_inverted_index":{"One":[0],"of":[1,14,82,95,98,110],"the":[2,12,62,72,78,102,111],"major":[3],"challenges":[4],"that":[5],"autonomous":[6,44],"cars":[7],"are":[8,26,64,86],"facing":[9],"today":[10],"is":[11,34,47],"unpredictability":[13],"pedestrian":[15,21,30,38,90],"movement":[16],"in":[17],"urban":[18],"environments.":[19],"Since":[20],"data":[22],"acquired":[23],"by":[24],"vehicles":[25],"sparse":[27],"observed":[28],"a":[29,67,80],"flow":[31,91],"directed":[32],"graph":[33,79],"proposed":[35],"to":[36,49,70,76],"understand":[37],"behavior.":[39],"In":[40,74],"this":[41],"work,":[42],"an":[43,93],"electric":[45],"vehicle":[46],"employed":[48],"gather":[50],"LiDAR":[51],"and":[52,58,101],"camera":[53],"data.":[54],"Pedestrian":[55],"tracking":[56],"information":[57,60],"semantic":[59],"from":[61],"environment":[63],"used":[65],"with":[66],"probabilistic":[68],"approach":[69,105],"create":[71],"graph.":[73],"order":[75],"refine":[77],"set":[81],"outlier":[83,103],"removal":[84,104],"techniques":[85],"described.":[87],"The":[88],"graph-based":[89],"shows":[92],"increase":[94],"61.29":[96],"%":[97,109],"coverage":[99],"zone,":[100],"successfully":[106],"removed":[107],"81":[108],"edges.":[112]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}