{"id":"https://openalex.org/W2146386021","doi":"https://doi.org/10.1109/icarcv.2008.4795533","title":"From operational to tactical driving: A hybrid learning approach for autonomous vehicles","display_name":"From operational to tactical driving: A hybrid learning approach for autonomous vehicles","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2146386021","doi":"https://doi.org/10.1109/icarcv.2008.4795533","mag":"2146386021"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2008.4795533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2008.4795533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 10th International Conference on Control, Automation, Robotics and Vision","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/A5098330913","display_name":"Tran Xuan Phuoc Diem","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Tran Xuan Phuoc Diem","raw_affiliation_strings":["Centre for Computational Intelligence (C2i), Nanyang Technological University, Nanyang Avenue, Singapore","Centre for Comput. Intell. (C2I), Nanyang Technol. Univ., Singapore"],"affiliations":[{"raw_affiliation_string":"Centre for Computational Intelligence (C2i), Nanyang Technological University, Nanyang Avenue, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Centre for Comput. Intell. (C2I), Nanyang Technol. Univ., Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019982874","display_name":"Michel Pasquier","orcid":"https://orcid.org/0000-0001-7068-3343"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Michel Pasquier","raw_affiliation_strings":["Centre for Computational Intelligence (C2i), Nanyang Technological University, Nanyang Avenue, Singapore","Centre for Comput. Intell. (C2I), Nanyang Technol. Univ., Singapore"],"affiliations":[{"raw_affiliation_string":"Centre for Computational Intelligence (C2i), Nanyang Technological University, Nanyang Avenue, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Centre for Comput. Intell. (C2I), Nanyang Technol. Univ., Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5098330913"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.10830237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"33","issue":null,"first_page":"285","last_page":"290"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.992900013923645,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.992900013923645,"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/T10142","display_name":"Formal Methods in Verification","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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":0.6698964834213257},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6238151788711548},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.6181548237800598},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.43488311767578125},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.2789080739021301},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.230695903301239}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6698964834213257},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6238151788711548},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6181548237800598},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.43488311767578125},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.2789080739021301},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.230695903301239},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2008.4795533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2008.4795533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 10th International Conference on Control, Automation, Robotics and Vision","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1492518088","https://openalex.org/W1494628589","https://openalex.org/W1498436455","https://openalex.org/W1576064560","https://openalex.org/W1590924371","https://openalex.org/W1598821343","https://openalex.org/W2019648715","https://openalex.org/W2020149918","https://openalex.org/W2025014999","https://openalex.org/W2026635986","https://openalex.org/W2062100414","https://openalex.org/W2088722156","https://openalex.org/W2099689176","https://openalex.org/W2105917209","https://openalex.org/W2113720629","https://openalex.org/W2116841002","https://openalex.org/W2128431497","https://openalex.org/W2134672787","https://openalex.org/W2142723203","https://openalex.org/W2144397661","https://openalex.org/W2149678274","https://openalex.org/W2150327264","https://openalex.org/W2155732138","https://openalex.org/W2159300058","https://openalex.org/W2164823136","https://openalex.org/W2168725116","https://openalex.org/W2249082738","https://openalex.org/W3151922920","https://openalex.org/W6629690922"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2130043461","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Research":[0],"in":[1,8,38,51,73,131],"Intelligent":[2],"Transportation":[3],"Systems":[4],"has":[5],"increased":[6],"dramatically":[7],"recent":[9],"years,":[10],"with":[11,41,63],"the":[12,42,111,119,144],"main":[13],"goals":[14],"to":[15,58,100,138],"improve":[16],"road":[17],"safety":[18],"and":[19,49,66],"increase":[20],"transportation":[21],"capacity.":[22],"This":[23],"paper":[24],"presents":[25],"our":[26,78],"research":[27],"work":[28],"that":[29],"aims":[30],"at":[31],"realizing":[32],"general":[33],"driving":[34,81,116],"skill":[35],"learning":[36,126],"capability":[37],"autonomous":[39],"vehicles,":[40],"foreseeable":[43],"benefit":[44],"of":[45],"achieving":[46],"human-like":[47],"flexibility":[48],"robustness":[50],"complex":[52],"dynamic":[53],"environments.":[54],"The":[55,103],"challenge":[56],"is":[57,122],"develop":[59],"intelligent":[60],"vehicles":[61],"endowed":[62],"strategic,":[64],"tactical,":[65],"operational":[67,80],"skills,":[68],"which":[69,129,136],"can":[70],"competently":[71],"drive":[72],"real-world":[74],"traffic":[75,147],"conditions.":[76],"In":[77],"approach,":[79],"skills":[82],"such":[83],"as":[84,93],"lane":[85],"following,":[86],"U-turn,":[87],"reverse":[88],"parking,":[89],"etc.":[90],"are":[91],"modeled":[92],"approximate":[94],"decision-making":[95],"rules":[96,112],"mapping":[97],"sensory":[98,134],"input":[99],"control":[101],"output.":[102],"system":[104],"automatically":[105],"captures":[106],"human":[107],"expertise":[108],"by":[109],"extracting":[110],"from":[113,133],"example.":[114],"Tactical":[115],"proficiency,":[117],"on":[118],"other":[120],"hand,":[121],"realized":[123],"using":[124],"stochastic":[125],"S-model":[127],"automata,":[128],"determine":[130],"real-time":[132],"data":[135],"maneuver":[137],"perform":[139],"given":[140],"incomplete":[141],"information":[142],"about":[143],"rapidly":[145],"changing":[146],"environment.":[148]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}