{"id":"https://openalex.org/W4389667163","doi":"https://doi.org/10.1109/iros55552.2023.10342534","title":"Does Unpredictability Influence Driving Behavior?","display_name":"Does Unpredictability Influence Driving Behavior?","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4389667163","doi":"https://doi.org/10.1109/iros55552.2023.10342534"},"language":"en","primary_location":{"id":"doi:10.1109/iros55552.2023.10342534","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iros55552.2023.10342534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5073111767","display_name":"Sepehr Samavi","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]},{"id":"https://openalex.org/I4210127509","display_name":"Vector Institute","ror":"https://ror.org/03kqdja62","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210127509"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sepehr Samavi","raw_affiliation_strings":["University of Toronto Institute for Aerospace Studies (UTIAS)","Vector Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto Institute for Aerospace Studies (UTIAS)","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Vector Institute","institution_ids":["https://openalex.org/I4210127509"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010648258","display_name":"Florian Shkurti","orcid":"https://orcid.org/0000-0002-5672-5831"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Florian Shkurti","raw_affiliation_strings":["University of Toronto,Department of Computer Science","Department of Computer Science, University of Toronto"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto,Department of Computer Science","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Department of Computer Science, University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052147335","display_name":"Angela P. Schoellig","orcid":"https://orcid.org/0000-0003-4012-4668"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]},{"id":"https://openalex.org/I4210127509","display_name":"Vector Institute","ror":"https://ror.org/03kqdja62","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210127509"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["CA","DE"],"is_corresponding":false,"raw_author_name":"Angela P. Schoellig","raw_affiliation_strings":["Technical University of Munich","University of Toronto Institute for Aerospace Studies (UTIAS)","Vector Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"University of Toronto Institute for Aerospace Studies (UTIAS)","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Vector Institute","institution_ids":["https://openalex.org/I4210127509"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1034,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42849707,"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":"1720","last_page":"1727"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9994999766349792,"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"}},"topics":[{"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/T10524","display_name":"Traffic control and management","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.9764999747276306,"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/computer-science","display_name":"Computer science","score":0.6229177713394165},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5870412588119507},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5830603241920471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5352792143821716},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4809695780277252},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4766952693462372}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6229177713394165},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5870412588119507},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5830603241920471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5352792143821716},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4809695780277252},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4766952693462372},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros55552.2023.10342534","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iros55552.2023.10342534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W398859631","https://openalex.org/W1488006703","https://openalex.org/W1527702126","https://openalex.org/W1578293866","https://openalex.org/W1847191588","https://openalex.org/W1929981607","https://openalex.org/W2075793174","https://openalex.org/W2112930335","https://openalex.org/W2424778531","https://openalex.org/W2596356468","https://openalex.org/W2783963507","https://openalex.org/W2800283575","https://openalex.org/W2896642734","https://openalex.org/W2913961733","https://openalex.org/W2953931148","https://openalex.org/W2962721463","https://openalex.org/W2963343478","https://openalex.org/W2963547393","https://openalex.org/W2963787234","https://openalex.org/W2963906196","https://openalex.org/W2967875175","https://openalex.org/W2982745079","https://openalex.org/W2985871763","https://openalex.org/W2990956645","https://openalex.org/W3025460448","https://openalex.org/W3090153548","https://openalex.org/W3090259117","https://openalex.org/W3091067209","https://openalex.org/W3091165146","https://openalex.org/W3100605398","https://openalex.org/W3114753236","https://openalex.org/W3116651890","https://openalex.org/W3156216502","https://openalex.org/W3176726067","https://openalex.org/W3207319070","https://openalex.org/W6638440308","https://openalex.org/W6674884181","https://openalex.org/W6713563955","https://openalex.org/W6720244596","https://openalex.org/W6735992252","https://openalex.org/W6745420753","https://openalex.org/W6794641712"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"investigate":[4],"the":[5,8,49,58,94,112],"effect":[6,113],"of":[7,10,51,102,111,114],"unpredictability":[9,50,77,95,115],"surrounding":[11,52],"cars":[12,53],"on":[13,48,116],"an":[14,32],"ego-car":[15,33],"performing":[16],"a":[17,35,39,44,69,84,99],"driving":[18,117],"maneuver.":[19],"We":[20,42,61],"use":[21,55],"Maximum":[22],"Entropy":[23],"Inverse":[24],"reinforcement":[25],"Learning":[26],"to":[27,98],"model":[28],"reward":[29,59,64],"functions":[30,65],"for":[31],"conducting":[34],"lane":[36],"change":[37],"in":[38,57],"highway":[40],"setting.":[41],"define":[43],"new":[45],"feature":[46,96],"based":[47],"and":[54,71,86],"it":[56],"function.":[60],"learn":[62],"two":[63],"from":[66],"human":[67],"data:":[68],"baseline":[70],"one":[72],"that":[73,92],"incorporates":[74],"our":[75],"defined":[76],"feature,":[78],"then":[79],"compare":[80],"their":[81],"performance":[82],"with":[83],"quantitative":[85],"qualitative":[87],"evaluation.":[88],"Our":[89],"evaluation":[90],"demonstrates":[91],"incorporating":[93],"leads":[97],"better":[100],"fit":[101],"human-generated":[103],"test":[104],"data.":[105],"These":[106],"results":[107],"encourage":[108],"further":[109],"investigation":[110],"behavior.":[118]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
