{"id":"https://openalex.org/W3097161636","doi":"https://doi.org/10.1007/s41095-020-0190-8","title":"Fluid-inspired field representation for risk assessment in road scenes","display_name":"Fluid-inspired field representation for risk assessment in road scenes","publication_year":2020,"publication_date":"2020-10-29","ids":{"openalex":"https://openalex.org/W3097161636","doi":"https://doi.org/10.1007/s41095-020-0190-8","mag":"3097161636"},"language":"en","primary_location":{"id":"doi:10.1007/s41095-020-0190-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-020-0190-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-020-0190-8.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s41095-020-0190-8.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088370559","display_name":"Xuanpeng Li","orcid":"https://orcid.org/0000-0001-9320-0658"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuanpeng Li","raw_affiliation_strings":["School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China","School of Instrument Science and Engineering, Southeast University, Nanjing, 210096, China"],"affiliations":[{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, 210096, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009912040","display_name":"Lifeng Zhu","orcid":"https://orcid.org/0000-0002-9999-4513"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifeng Zhu","raw_affiliation_strings":["School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China","School of Instrument Science and Engineering, Southeast University, Nanjing, 210096, China"],"affiliations":[{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, 210096, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101778213","display_name":"Qifan Xue","orcid":"https://orcid.org/0000-0002-8277-2228"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qifan Xue","raw_affiliation_strings":["School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China","School of Instrument Science and Engineering, Southeast University, Nanjing, 210096, China"],"affiliations":[{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, 210096, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391493","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0002-6976-4004"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Wang","raw_affiliation_strings":["School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China","School of Instrument Science and Engineering, Southeast University, Nanjing, 210096, China"],"affiliations":[{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, 210096, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100402810","display_name":"Yongjie Zhang","orcid":"https://orcid.org/0000-0001-7436-9757"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yongjie Jessica Zhang","raw_affiliation_strings":["Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA","Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5088370559"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":1.4483,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.87590825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"6","issue":"4","first_page":"401","last_page":"415"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.9952999949455261,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.6921471357345581},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6200436949729919},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6057623624801636},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.577824592590332},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5701700448989868},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5291576385498047},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.49181798100471497},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4896312355995178},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.47530612349510193},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46633219718933105},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4511123299598694},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4450591206550598},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.14713257551193237},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0863649845123291}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6921471357345581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6200436949729919},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6057623624801636},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.577824592590332},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5701700448989868},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5291576385498047},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.49181798100471497},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4896312355995178},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.47530612349510193},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46633219718933105},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4511123299598694},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4450591206550598},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.14713257551193237},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0863649845123291},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s41095-020-0190-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-020-0190-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-020-0190-8.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s41095-020-0190-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-020-0190-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-020-0190-8.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1939426242","display_name":null,"funder_award_id":"2242019","funder_id":"https://openalex.org/F4320324856","funder_display_name":"Southeast University"},{"id":"https://openalex.org/G3110979334","display_name":null,"funder_award_id":"61906038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5013081149","display_name":null,"funder_award_id":"2242019K40039","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5249178904","display_name":null,"funder_award_id":"Grant No. 6","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6709741852","display_name":null,"funder_award_id":"2242019","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324856","display_name":"Southeast University","ror":"https://ror.org/04ct4d772"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3097161636.pdf","grobid_xml":"https://content.openalex.org/works/W3097161636.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1976511700","https://openalex.org/W1992085841","https://openalex.org/W2027814088","https://openalex.org/W2055022211","https://openalex.org/W2079150870","https://openalex.org/W2097545165","https://openalex.org/W2100193157","https://openalex.org/W2103595974","https://openalex.org/W2127084114","https://openalex.org/W2132200263","https://openalex.org/W2163590332","https://openalex.org/W2222512263","https://openalex.org/W2225887246","https://openalex.org/W2295821368","https://openalex.org/W2468912036","https://openalex.org/W2507495164","https://openalex.org/W2508815980","https://openalex.org/W2526468814","https://openalex.org/W2530088678","https://openalex.org/W2545225635","https://openalex.org/W2555618208","https://openalex.org/W2558294288","https://openalex.org/W2571783659","https://openalex.org/W2607738331","https://openalex.org/W2623660146","https://openalex.org/W2774231091","https://openalex.org/W2798902623","https://openalex.org/W2803184913","https://openalex.org/W2803756442","https://openalex.org/W2896535292","https://openalex.org/W2914821954","https://openalex.org/W2941647785","https://openalex.org/W2949708697","https://openalex.org/W2951447271","https://openalex.org/W2963274939","https://openalex.org/W2963400571","https://openalex.org/W2963721253","https://openalex.org/W2963727135","https://openalex.org/W2964015640","https://openalex.org/W2967835402","https://openalex.org/W3105115779","https://openalex.org/W4234552385","https://openalex.org/W4237354932","https://openalex.org/W4285719527","https://openalex.org/W4292079233"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W3009369890","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W4312490297","https://openalex.org/W2062212388"],"abstract_inverted_index":{"Prediction":[0],"of":[1,5,13,27,82,105],"the":[2,20,67,76,80,93,103],"likely":[3],"evolution":[4],"traffic":[6],"scenes":[7],"is":[8,63],"a":[9,41,59,115],"challenging":[10],"task":[11],"because":[12],"high":[14],"uncertainties":[15],"from":[16],"sensing":[17],"technology":[18],"and":[19,55,57,84,107],"dynamic":[21],"environment.":[22],"It":[23,113],"leads":[24],"to":[25,44,65],"failure":[26],"motion":[28],"planning":[29],"for":[30,118],"intelligent":[31],"agents":[32],"like":[33],"autonomous":[34],"vehicles.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39],"propose":[40],"fluid-inspired":[42],"model":[43,62,98],"estimate":[45],"collision":[46,119],"risk":[47,68,120],"in":[48,79,102,122],"road":[49,123],"scenes.":[50,124],"Multi-object":[51],"states":[52],"are":[53,73],"detected":[54],"tracked,":[56],"then":[58],"stable":[60],"fluid":[61],"adopted":[64],"construct":[66],"field.":[69],"Objects\u2019":[70],"state":[71],"spaces":[72],"used":[74],"as":[75],"boundary":[77],"conditions":[78],"simulation":[81],"advection":[83],"diffusion":[85],"processes.":[86],"We":[87],"have":[88],"evaluated":[89],"our":[90,97],"approach":[91,117],"on":[92],"public":[94],"KITTI":[95],"dataset;":[96],"can":[99],"provide":[100],"predictions":[101],"cases":[104],"misdetection":[106],"tracking":[108],"error":[109],"caused":[110],"by":[111],"occlusion.":[112],"proves":[114],"promising":[116],"assessment":[121]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}