{"id":"https://openalex.org/W2992382489","doi":"https://doi.org/10.1109/icra40945.2020.9196778","title":"Driving Style Encoder: Situational Reward Adaptation for General-Purpose Planning in Automated Driving","display_name":"Driving Style Encoder: Situational Reward Adaptation for General-Purpose Planning in Automated Driving","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W2992382489","doi":"https://doi.org/10.1109/icra40945.2020.9196778","mag":"2992382489"},"language":"en","primary_location":{"id":"doi:10.1109/icra40945.2020.9196778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra40945.2020.9196778","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1912.03509","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Sascha Rosbach","orcid":null},"institutions":[{"id":"https://openalex.org/I1319473763","display_name":"Volkswagen Group (Germany)","ror":"https://ror.org/01f3bhg26","country_code":"DE","type":"company","lineage":["https://openalex.org/I1319473763"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Sascha Rosbach","raw_affiliation_strings":["Volkswagen AG, Wolfsburg, Germany"],"affiliations":[{"raw_affiliation_string":"Volkswagen AG, Wolfsburg, Germany","institution_ids":["https://openalex.org/I1319473763"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Vinit James","orcid":null},"institutions":[{"id":"https://openalex.org/I1319473763","display_name":"Volkswagen Group (Germany)","ror":"https://ror.org/01f3bhg26","country_code":"DE","type":"company","lineage":["https://openalex.org/I1319473763"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Vinit James","raw_affiliation_strings":["Volkswagen AG, Wolfsburg, Germany"],"affiliations":[{"raw_affiliation_string":"Volkswagen AG, Wolfsburg, Germany","institution_ids":["https://openalex.org/I1319473763"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Simon Grosjohann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Simon Grosjohann","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Silviu Homoceanu","orcid":null},"institutions":[{"id":"https://openalex.org/I1319473763","display_name":"Volkswagen Group (Germany)","ror":"https://ror.org/01f3bhg26","country_code":"DE","type":"company","lineage":["https://openalex.org/I1319473763"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Silviu Homoceanu","raw_affiliation_strings":["Volkswagen AG, Wolfsburg, Germany"],"affiliations":[{"raw_affiliation_string":"Volkswagen AG, Wolfsburg, Germany","institution_ids":["https://openalex.org/I1319473763"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xing Li","orcid":null},"institutions":[{"id":"https://openalex.org/I1319473763","display_name":"Volkswagen Group (Germany)","ror":"https://ror.org/01f3bhg26","country_code":"DE","type":"company","lineage":["https://openalex.org/I1319473763"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Xing Li","raw_affiliation_strings":["Volkswagen AG, Wolfsburg, Germany"],"affiliations":[{"raw_affiliation_string":"Volkswagen AG, Wolfsburg, Germany","institution_ids":["https://openalex.org/I1319473763"]}]},{"author_position":"last","author":{"id":null,"display_name":"Stefan Roth","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technical University of Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Roth","raw_affiliation_strings":["Visual Inference Lab, Technische Universit\u00e4t Darmstadt, Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"Visual Inference Lab, Technische Universit\u00e4t Darmstadt, Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1319473763"],"apc_list":null,"apc_paid":null,"fwci":0.5887,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.67917754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"6419","last_page":"6425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9983000159263611,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9983000159263611,"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":0.9957000017166138,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9933000206947327,"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/planner","display_name":"Planner","score":0.5680999755859375},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5496000051498413},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5026000142097473},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4921000003814697},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.47870001196861267},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.4542999863624573},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4521999955177307},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.34060001373291016}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6087999939918518},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.574400007724762},{"id":"https://openalex.org/C2776999362","wikidata":"https://www.wikidata.org/wiki/Q2349274","display_name":"Planner","level":2,"score":0.5680999755859375},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5496000051498413},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5026000142097473},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5008999705314636},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4921000003814697},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.47870001196861267},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.4542999863624573},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4521999955177307},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.34060001373291016},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.3368000090122223},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.3172000050544739},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.31310001015663147},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.3061000108718872},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C9114305","wikidata":"https://www.wikidata.org/wiki/Q1428317","display_name":"Situational ethics","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.2766999900341034},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icra40945.2020.9196778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra40945.2020.9196778","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1912.03509","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1912.03509","pdf_url":"https://arxiv.org/pdf/1912.03509","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1912.03509","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1912.03509","pdf_url":"https://arxiv.org/pdf/1912.03509","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1527702126","https://openalex.org/W1533707276","https://openalex.org/W1983304737","https://openalex.org/W2155098712","https://openalex.org/W2164469736","https://openalex.org/W2209819150","https://openalex.org/W2744369598","https://openalex.org/W2800753541","https://openalex.org/W2942735643","https://openalex.org/W2966727988","https://openalex.org/W6640290305","https://openalex.org/W6640443443","https://openalex.org/W6674884181","https://openalex.org/W6677978604","https://openalex.org/W6682579539","https://openalex.org/W6685962732","https://openalex.org/W6696380822","https://openalex.org/W6718092244","https://openalex.org/W6750186571","https://openalex.org/W6752356361"],"related_works":[],"abstract_inverted_index":{"General-purpose":[0],"planning":[1,14,31,113],"algorithms":[2,15],"for":[3,111],"automated":[4],"driving":[5,22,67,100,121],"combine":[6],"mission,":[7],"behavior,":[8],"and":[9,21,41,51,96,107,133,147],"local":[10],"motion":[11],"planning.":[12],"Such":[13],"map":[16],"features":[17,95],"of":[18,43,98,102,123],"the":[19,120,159],"environment":[20],"kinematics":[23],"into":[24],"complex":[25],"reward":[26,37,45,60,86,109,124,135,145,153],"functions.":[27,38,87,136],"To":[28],"achieve":[29],"this,":[30],"experts":[32],"often":[33],"rely":[34],"on":[35,79],"linear":[36,59,134,144,152],"The":[39],"specification":[40],"tuning":[42],"these":[44],"functions":[46,110,125,146,154],"is":[47,148],"a":[48,56,74,92,103],"tedious":[49],"process":[50],"requires":[52],"significant":[53],"experience.":[54],"Moreover,":[55],"manually":[57],"designed":[58],"function":[61],"does":[62],"not":[63],"generalize":[64],"across":[65],"different":[66],"situations.":[68],"In":[69,115],"this":[70],"work,":[71],"we":[72,118],"propose":[73],"deep":[75,129,139],"learning":[76,82,140],"approach":[77,141],"based":[78],"inverse":[80],"reinforcement":[81],"that":[83],"generates":[84],"situation-dependent":[85],"Our":[88,137],"neural":[89],"network":[90,130],"provides":[91],"mapping":[93],"between":[94],"actions":[97],"sampled":[99],"policies":[101],"model-predictive":[104],"control-based":[105],"planner":[106],"predicts":[108],"upcoming":[112],"cycles.":[114],"our":[116,128],"evaluation,":[117],"compare":[119],"style":[122],"predicted":[126],"by":[127],"against":[131],"clustered":[132,143],"proposed":[138],"outperforms":[142],"at":[149],"par":[150],"with":[151,155],"a-priori":[156],"knowledge":[157],"about":[158],"situation.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2019-12-13T00:00:00"}