{"id":"https://openalex.org/W3209590834","doi":"https://doi.org/10.1109/itsc48978.2021.9564737","title":"A Novel Adaptation of Information Extraction Algorithm to Process Natural Text Descriptions of Pedestrian Encounters","display_name":"A Novel Adaptation of Information Extraction Algorithm to Process Natural Text Descriptions of Pedestrian Encounters","publication_year":2021,"publication_date":"2021-09-19","ids":{"openalex":"https://openalex.org/W3209590834","doi":"https://doi.org/10.1109/itsc48978.2021.9564737","mag":"3209590834"},"language":"en","primary_location":{"id":"doi:10.1109/itsc48978.2021.9564737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc48978.2021.9564737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Intelligent Transportation Systems Conference (ITSC)","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/A5005968273","display_name":"Md Fazle Elahi","orcid":"https://orcid.org/0000-0001-5678-4527"},"institutions":[{"id":"https://openalex.org/I135191193","display_name":"University of Indianapolis","ror":"https://ror.org/052133d12","country_code":"US","type":"education","lineage":["https://openalex.org/I135191193"]},{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Md Fazle Elahi","raw_affiliation_strings":["Indiana University Purdue University Indianapolis, Indianapolis, IN, USA"],"affiliations":[{"raw_affiliation_string":"Indiana University Purdue University Indianapolis, Indianapolis, IN, USA","institution_ids":["https://openalex.org/I135191193","https://openalex.org/I55769427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062877842","display_name":"Jithesh Gugan Sreeram","orcid":null},"institutions":[{"id":"https://openalex.org/I135191193","display_name":"University of Indianapolis","ror":"https://ror.org/052133d12","country_code":"US","type":"education","lineage":["https://openalex.org/I135191193"]},{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jithesh Gugan Sreeram","raw_affiliation_strings":["Indiana University Purdue University Indianapolis, Indianapolis, IN, USA"],"affiliations":[{"raw_affiliation_string":"Indiana University Purdue University Indianapolis, Indianapolis, IN, USA","institution_ids":["https://openalex.org/I135191193","https://openalex.org/I55769427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038978057","display_name":"Xiao Luo","orcid":"https://orcid.org/0000-0002-3649-9785"},"institutions":[{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]},{"id":"https://openalex.org/I135191193","display_name":"University of Indianapolis","ror":"https://ror.org/052133d12","country_code":"US","type":"education","lineage":["https://openalex.org/I135191193"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao Luo","raw_affiliation_strings":["Indiana University Purdue University Indianapolis, Indianapolis, IN, USA"],"affiliations":[{"raw_affiliation_string":"Indiana University Purdue University Indianapolis, Indianapolis, IN, USA","institution_ids":["https://openalex.org/I135191193","https://openalex.org/I55769427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085877797","display_name":"Renran Tian","orcid":"https://orcid.org/0000-0003-2028-3856"},"institutions":[{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]},{"id":"https://openalex.org/I135191193","display_name":"University of Indianapolis","ror":"https://ror.org/052133d12","country_code":"US","type":"education","lineage":["https://openalex.org/I135191193"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Renran Tian","raw_affiliation_strings":["Indiana University Purdue University Indianapolis, Indianapolis, IN, USA"],"affiliations":[{"raw_affiliation_string":"Indiana University Purdue University Indianapolis, Indianapolis, IN, USA","institution_ids":["https://openalex.org/I135191193","https://openalex.org/I55769427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005968273"],"corresponding_institution_ids":["https://openalex.org/I135191193","https://openalex.org/I55769427"],"apc_list":null,"apc_paid":null,"fwci":0.136,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56143209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1906","last_page":"1912"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10028","display_name":"Topic Modeling","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7448585033416748},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.6348497867584229},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5873468518257141},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5466468930244446},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5341542959213257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4702654778957367},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.41518479585647583},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37215107679367065},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3522239923477173},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32177668809890747},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08642438054084778},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08244872093200684},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.05585393309593201}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7448585033416748},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.6348497867584229},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5873468518257141},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5466468930244446},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5341542959213257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4702654778957367},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.41518479585647583},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37215107679367065},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3522239923477173},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32177668809890747},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08642438054084778},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08244872093200684},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.05585393309593201},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc48978.2021.9564737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc48978.2021.9564737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W1980985548","https://openalex.org/W2054911734","https://openalex.org/W2077473841","https://openalex.org/W2143612262","https://openalex.org/W2147880316","https://openalex.org/W2150220508","https://openalex.org/W2291062466","https://openalex.org/W2466573295","https://openalex.org/W2610165754","https://openalex.org/W2740215900","https://openalex.org/W2752413620","https://openalex.org/W2769735038","https://openalex.org/W2799199435","https://openalex.org/W2801667201","https://openalex.org/W2885138528","https://openalex.org/W2896659472","https://openalex.org/W2950577311","https://openalex.org/W2956760941","https://openalex.org/W2963697717","https://openalex.org/W2963940534","https://openalex.org/W2968187429","https://openalex.org/W2971902095","https://openalex.org/W2972947022","https://openalex.org/W2991484432","https://openalex.org/W3035337382","https://openalex.org/W3046552492","https://openalex.org/W3109754877","https://openalex.org/W3129684859","https://openalex.org/W6636510571","https://openalex.org/W6682082992","https://openalex.org/W6754182907","https://openalex.org/W6755311825","https://openalex.org/W6781548975"],"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/W2768112316","https://openalex.org/W2368651715"],"abstract_inverted_index":{"Complete":[0],"understanding":[1],"of":[2,26,55,64],"pedestrian":[3,27,78,119],"behavior":[4,29],"still":[5],"poses":[6],"challenges":[7],"to":[8,20,45,89,106],"current":[9],"automated":[10],"driving":[11],"technologies.":[12],"This":[13,69],"study":[14,108],"introduces":[15],"a":[16,59],"knowledge":[17,97],"extraction":[18,43],"framework":[19],"better":[21],"understand":[22],"the":[23,31,47,56,65,91,111],"human":[24,86],"perception":[25],"crossing":[28,94],"from":[30,77,99],"ego-vehicle":[32],"perspective.":[33],"Using":[34],"manually":[35],"annotated":[36],"explanatory":[37],"texts,":[38],"we":[39],"train":[40],"an":[41],"information":[42],"algorithm":[44,57],"map":[46],"unstructured":[48],"descriptive":[49],"text":[50,102],"into":[51],"structured":[52,101],"data.":[53],"Evaluation":[54],"confirms":[58],"good":[60],"performance":[61],"in":[62,84],"most":[63],"key":[66],"feature":[67],"categories.":[68],"model":[70],"can":[71,82,104],"identify":[72],"and":[73],"extract":[74],"vital":[75],"cues":[76],"encounter":[79],"descriptions,":[80],"which":[81,114],"assist":[83],"analyzing":[85],"decision-making":[87],"processes":[88],"estimate":[90],"pedestrians&#x0027;":[92],"situational":[93],"intent.":[95],"The":[96],"extracted":[98],"such":[100],"data":[103],"help":[105],"holistically":[107],"interconnection":[109],"among":[110],"human-used":[112],"factors":[113],"is":[115],"crucial":[116],"for":[117],"modeling":[118],"behavior.":[120]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
