{"id":"https://openalex.org/W2741082235","doi":"https://doi.org/10.1109/ivs.2017.7995815","title":"An efficient decision and planning method for high speed autonomous driving in dynamic environment","display_name":"An efficient decision and planning method for high speed autonomous driving in dynamic environment","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2741082235","doi":"https://doi.org/10.1109/ivs.2017.7995815","mag":"2741082235"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2017.7995815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2017.7995815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5000357262","display_name":"Kai Zhang","orcid":"https://orcid.org/0000-0002-0002-2184"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kai Zhang","raw_affiliation_strings":["The State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institution of Technology, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institution of Technology, Beijing, P. R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091459774","display_name":"Mengyin Fu","orcid":"https://orcid.org/0000-0002-5520-7127"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mengyin Fu","raw_affiliation_strings":["The State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institution of Technology, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institution of Technology, Beijing, P. R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062124960","display_name":"Yi Yang","orcid":"https://orcid.org/0000-0003-3964-2433"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Yang","raw_affiliation_strings":["The State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institution of Technology, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institution of Technology, Beijing, P. R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101040886","display_name":"Songtian Shang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Songtian Shang","raw_affiliation_strings":["The State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institution of Technology, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institution of Technology, Beijing, P. R. China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100416064","display_name":"Meiling Wang","orcid":"https://orcid.org/0000-0002-3618-7423"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meiling Wang","raw_affiliation_strings":["The State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institution of Technology, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institution of Technology, Beijing, P. R. China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"806","last_page":"811"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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/T10879","display_name":"Robotic Locomotion and Control","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9764000177383423,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6470639705657959},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.48815280199050903},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.27836158871650696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2433023750782013}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6470639705657959},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.48815280199050903},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.27836158871650696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2433023750782013}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2017.7995815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2017.7995815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W135651235","https://openalex.org/W1552196292","https://openalex.org/W1919720996","https://openalex.org/W1969483458","https://openalex.org/W1982809790","https://openalex.org/W2053407718","https://openalex.org/W2108906364","https://openalex.org/W2120588906","https://openalex.org/W2142644931","https://openalex.org/W2144966261","https://openalex.org/W2158334497","https://openalex.org/W4236251699","https://openalex.org/W6605583594"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2093578348","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2766271392","https://openalex.org/W2350741829","https://openalex.org/W2019570546"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"an":[3],"improved":[4,38,117],"decision":[5,127],"and":[6,33,56,128,142,158],"planning":[7,43,129],"algorithm":[8,115,130],"based":[9],"on":[10,107,134,150],"our":[11,71,135],"previously":[12],"proposed":[13,126],"methods":[14],"for":[15,50,64],"unmanned":[16],"ground":[17],"vehicle":[18,140],"(UGV).":[19],"The":[20,125],"new":[21,66,143],"method":[22],"can":[23,74],"be":[24],"applied":[25],"to":[26,48,96,118],"UGV":[27,72,99],"driving":[28,52,103],"both":[29,133],"in":[30],"structured":[31],"environment":[32],"unstructured":[34],"environment.":[35],"In":[36],"the":[37,40,65,98,108,112,120],"method,":[39],"prospect":[41],"of":[42,80],"is":[44,94,116,131],"extended":[45],"from":[46],"40m":[47],"100m":[49],"safe":[51],"at":[53,76,104],"high":[54],"speed":[55,60,79],"some":[57],"piecewise":[58],"linear":[59],"functions":[61],"are":[62],"designed":[63],"prospect.":[67],"After":[68],"this":[69],"improvement":[70],"now":[73],"drive":[75],"a":[77,90],"maximum":[78],"60km/h":[81],"rather":[82],"than":[83],"40km/h":[84],"while":[85],"avoiding":[86],"obstacles":[87],"safely.":[88],"Besides,":[89],"velocity":[91],"feedforward":[92],"control":[93],"added":[95],"make":[97,119],"overtake":[100],"other":[101],"cars":[102],"about":[105],"25km/h":[106],"road.":[109],"At":[110],"last,":[111],"collision":[113],"detection":[114],"lane":[121],"changing":[122],"maneuver":[123],"safer.":[124],"implemented":[132],"old":[136],"Polaris":[137],"all":[138],"terrain":[139],"(ATV)":[141],"FAW-H7":[144],"car,":[145],"which":[146],"exhibited":[147],"good":[148],"performance":[149],"Across":[151],"Dangers":[152],"&":[153],"Obstacles":[154],"2016,":[155,161],"Tahe,":[156],"China":[157],"Future":[159],"Challenge":[160],"Changshu,":[162],"China,":[163],"respectively.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
