{"id":"https://openalex.org/W3125029523","doi":"https://doi.org/10.1109/lcn48667.2020.9314817","title":"An efficient autonomous vehicle navigation scheme based on LiDAR sensor in vehicular network","display_name":"An efficient autonomous vehicle navigation scheme based on LiDAR sensor in vehicular network","publication_year":2020,"publication_date":"2020-11-16","ids":{"openalex":"https://openalex.org/W3125029523","doi":"https://doi.org/10.1109/lcn48667.2020.9314817","mag":"3125029523"},"language":"en","primary_location":{"id":"doi:10.1109/lcn48667.2020.9314817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcn48667.2020.9314817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 45th Conference on Local Computer Networks (LCN)","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/A5071190727","display_name":"Rima Benelmir","orcid":"https://orcid.org/0000-0003-2335-5958"},"institutions":[{"id":"https://openalex.org/I206961696","display_name":"University of Biskra","ror":"https://ror.org/05fr5y859","country_code":"DZ","type":"education","lineage":["https://openalex.org/I206961696"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Rima Benelmir","raw_affiliation_strings":["University of Biskra, Biskra, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Biskra, Biskra, Algeria","institution_ids":["https://openalex.org/I206961696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048857332","display_name":"Salim Bitam","orcid":"https://orcid.org/0000-0001-5618-4126"},"institutions":[{"id":"https://openalex.org/I206961696","display_name":"University of Biskra","ror":"https://ror.org/05fr5y859","country_code":"DZ","type":"education","lineage":["https://openalex.org/I206961696"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Salim Bitam","raw_affiliation_strings":["University of Biskra, Biskra, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Biskra, Biskra, Algeria","institution_ids":["https://openalex.org/I206961696"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045421775","display_name":"Abdelhamid Mellouk","orcid":"https://orcid.org/0000-0002-6886-7394"},"institutions":[{"id":"https://openalex.org/I197681013","display_name":"Universit\u00e9 Paris-Est Cr\u00e9teil","ror":"https://ror.org/05ggc9x40","country_code":"FR","type":"education","lineage":["https://openalex.org/I197681013"]},{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Abdelhamid Mellouk","raw_affiliation_strings":["University of Paris Est, Creteil, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Paris Est, Creteil, France","institution_ids":["https://openalex.org/I197681013","https://openalex.org/I2800365227"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4895,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.67479729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"13","issue":null,"first_page":"349","last_page":"352"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.9993000030517578,"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/dijkstras-algorithm","display_name":"Dijkstra's algorithm","score":0.795497715473175},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.7829945087432861},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.726089596748352},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7257137298583984},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7062948942184448},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5886757373809814},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.49261122941970825},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4914127588272095},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4807460308074951},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.4731995761394501},{"id":"https://openalex.org/keywords/shortest-path-problem","display_name":"Shortest path problem","score":0.38826191425323486},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35333558917045593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3387076258659363},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.33760523796081543},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2548929452896118},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.23632878065109253},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.13701164722442627},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11894592642784119},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10670340061187744},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.0938979983329773},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08578845858573914}],"concepts":[{"id":"https://openalex.org/C173870130","wikidata":"https://www.wikidata.org/wiki/Q8548","display_name":"Dijkstra's algorithm","level":4,"score":0.795497715473175},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.7829945087432861},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.726089596748352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7257137298583984},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7062948942184448},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5886757373809814},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.49261122941970825},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4914127588272095},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4807460308074951},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.4731995761394501},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.38826191425323486},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35333558917045593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3387076258659363},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.33760523796081543},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2548929452896118},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.23632878065109253},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.13701164722442627},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11894592642784119},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10670340061187744},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0938979983329773},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08578845858573914},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lcn48667.2020.9314817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcn48667.2020.9314817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 45th Conference on Local Computer Networks (LCN)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04344914v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04344914","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2020 IEEE 45th Conference on Local Computer Networks (LCN), Nov 2020, Sydney, Australia. pp.349-352, &#x27E8;10.1109/LCN48667.2020.9314817&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2008613178","https://openalex.org/W2024060531","https://openalex.org/W2125409550","https://openalex.org/W2558638228","https://openalex.org/W2888100907","https://openalex.org/W2889923199","https://openalex.org/W2951725413","https://openalex.org/W2954681589","https://openalex.org/W2963872397","https://openalex.org/W3000171824"],"related_works":["https://openalex.org/W2930076404","https://openalex.org/W4253519380","https://openalex.org/W2071957557","https://openalex.org/W2596413128","https://openalex.org/W4391249562","https://openalex.org/W2356867392","https://openalex.org/W2782776446","https://openalex.org/W3043170174","https://openalex.org/W2155948905","https://openalex.org/W2357323510"],"abstract_inverted_index":{"Recently,":[0],"autonomous":[1],"vehicles":[2],"navigation":[3],"(AVN)":[4],"attracted":[5],"many":[6],"researches":[7],"trying":[8],"to":[9,28,53,73,82,103,114,132,138],"improve":[10],"road":[11],"traffic":[12],"without":[13],"the":[14,19,59,86,94,97,116,127],"human":[15],"intervention.":[16],"One":[17],"of":[18,129],"main":[20],"challenges":[21],"in":[22,45,85,119],"AVN":[23],"is":[24,70],"allowing":[25],"a":[26,34,48,74,100,120],"vehicle":[27,60,95],"discover":[29,54],"its":[30,92],"moving":[31],"trajectory":[32,57,69],"with":[33,40],"reduced":[35,121],"computational":[36],"complexity.":[37],"To":[38],"cope":[39],"this":[41,46,80],"issue,":[42],"we":[43],"propose":[44],"paper":[47],"new":[49],"simulated":[50],"annealing":[51],"algorithm":[52],"an":[55,62,105,110,134],"optimal":[56,111,135],"when":[58],"encounters":[61],"obstacle":[63,107],"using":[64],"LiDAR":[65,101],"perception.":[66],"The":[67,123],"found":[68],"then":[71],"sent":[72],"roadside":[75],"unit":[76],"(RSU),":[77],"which":[78],"communicates":[79],"discovery":[81,113],"other":[83],"nodes":[84],"network":[87],"for":[88],"further":[89],"use.":[90],"During":[91],"navigation,":[93],"perceives":[96],"environment":[98],"by":[99],"sensor":[102],"detect":[104],"eventual":[106],"and":[108],"launches":[109],"path":[112],"reach":[115],"final":[117],"destination":[118],"time.":[122],"results":[124],"obtained":[125],"showed":[126],"effectiveness":[128],"our":[130],"proposal":[131],"find":[133],"route":[136],"compared":[137],"Dijkstra":[139],"algorithm.":[140]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
