乐胖代购免代理版

{"id":"https://openalex.org/W2079537345","doi":"https://doi.org/10.1109/itsc.2013.6728343","title":"Multi-Target Tracking using a 3D-Lidar sensor for autonomous vehicles","display_name":"Multi-Target Tracking using a 3D-Lidar sensor for autonomous vehicles","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2079537345","doi":"https://doi.org/10.1109/itsc.2013.6728343","mag":"2079537345"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2013.6728343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5039913715","display_name":"Jaebum Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"funder","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jaebum Choi","raw_affiliation_strings":["Inst. of Control Eng., Tech. Univ. Braunschweig, Braunschweig, Germany"],"affiliations":[{"raw_affiliation_string":"Inst. of Control Eng., Tech. Univ. Braunschweig, Braunschweig, Germany","institution_ids":["https://openalex.org/I94509681"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015695178","display_name":"Simon Ulbrich","orcid":null},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"funder","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Simon Ulbrich","raw_affiliation_strings":["Inst. of Control Eng., Tech. Univ. Braunschweig, Braunschweig, Germany"],"affiliations":[{"raw_affiliation_string":"Inst. of Control Eng., Tech. Univ. Braunschweig, Braunschweig, Germany","institution_ids":["https://openalex.org/I94509681"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015874887","display_name":"Bernd Lichte","orcid":null},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"funder","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernd Lichte","raw_affiliation_strings":["Inst. of Control Eng., Tech. Univ. Braunschweig, Braunschweig, Germany"],"affiliations":[{"raw_affiliation_string":"Inst. of Control Eng., Tech. Univ. Braunschweig, Braunschweig, Germany","institution_ids":["https://openalex.org/I94509681"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006074043","display_name":"Markus Maurer","orcid":"https://orcid.org/0000-0002-5357-9701"},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"funder","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Maurer","raw_affiliation_strings":["Inst. of Control Eng., Tech. Univ. Braunschweig, Braunschweig, Germany"],"affiliations":[{"raw_affiliation_string":"Inst. of Control Eng., Tech. Univ. Braunschweig, Braunschweig, Germany","institution_ids":["https://openalex.org/I94509681"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.248,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":103,"citation_normalized_percentile":{"value":0.972029,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"881","last_page":"886"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9996,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9996,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9976,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9972,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/occupancy-grid-mapping","display_name":"Occupancy grid mapping","score":0.77406573},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.48665887}],"concepts":[{"id":"https://openalex.org/C57077369","wikidata":"https://www.wikidata.org/wiki/Q7075747","display_name":"Occupancy grid mapping","level":4,"score":0.77406573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7454867},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.695234},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.69231826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6201138},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.48665887},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4724945},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.45169425},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.43411875},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3644391},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25002044},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.22251758},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.2118122},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.15376171},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13177767},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2013.6728343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":13,"referenced_works":["https://openalex.org/W1519865121","https://openalex.org/W1994114209","https://openalex.org/W2044164936","https://openalex.org/W2058130919","https://openalex.org/W2072401311","https://openalex.org/W2122248324","https://openalex.org/W2127923214","https://openalex.org/W2150440166","https://openalex.org/W2158057652","https://openalex.org/W2165258106","https://openalex.org/W2171541387","https://openalex.org/W2273402580","https://openalex.org/W2591162375"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W4235384131","https://openalex.org/W337130175","https://openalex.org/W2956374172","https://openalex.org/W2901265155","https://openalex.org/W2653893021","https://openalex.org/W2553357593","https://openalex.org/W2394397806","https://openalex.org/W2380612839","https://openalex.org/W1567854708"],"abstract_inverted_index":{"Environmental":[0],"perception":[1,73],"is":[2,48,120,175],"a":[3,10,28,36,49,67,72],"prerequisite":[4],"for":[5,31,52,113,136,152],"autonomous":[6],"driving":[7],"and":[8,54,94],"also":[9,121],"challenging":[11],"task":[12],"particularly":[13],"in":[14,79,102,158,179,196],"cluttered":[15],"dynamic":[16],"environments":[17],"such":[18],"as":[19],"complex":[20,197],"urban":[21,198],"situations.":[22],"In":[23,143],"this":[24,46],"paper,":[25],"we":[26,89,130,155],"present":[27],"robust":[29],"algorithm":[30,74,174],"Multi-Target":[32],"Tracking":[33],"(MTT)":[34],"using":[35,191],"Velodyne":[37],"3D":[38],"HDL-64":[39],"Lidar":[40],"sensor.":[41],"The":[42],"main":[43],"contribution":[44],"of":[45,70,97,109,139,186],"paper":[47],"practical":[50],"framework":[51],"selecting":[53],"representing":[55],"useful":[56],"information":[57],"from":[58],"the":[59,64,83,95,107,114,118,140,153,162],"sensor":[60,65,84],"raw":[61,111],"data.":[62],"Since":[63],"produces":[66],"huge":[68],"amount":[69,108],"data,":[71],"cannot":[75],"be":[76],"carried":[77],"out":[78,106],"real-time":[80,180],"without":[81],"simplifying":[82],"information.":[85],"Unlike":[86],"prior":[87,146],"works,":[88],"introduce":[90,131],"hybrid":[91],"ground":[92],"classification":[93],"Region":[96],"Interest":[98],"(ROI)":[99],"identification":[100],"method":[101],"order":[103,159],"to":[104,145,160,177],"filter":[105],"unwanted":[110],"data":[112],"actual":[115],"tracking.":[116],"And":[117],"environment":[119],"abstracted":[122],"based":[123,133],"on":[124],"an":[125,182],"occupancy":[126],"grid":[127],"map.":[128],"Moreover,":[129],"feature":[132],"object":[134,150],"geometry":[135,151],"precise":[137],"estimation":[138],"system":[141],"state.":[142],"contrast":[144],"approaches,":[147],"which":[148],"use":[149,156],"classification,":[154],"it":[157,190],"compensate":[161],"unintended":[163],"dynamics":[164],"caused":[165],"by":[166],"shape":[167],"change":[168],"or":[169],"occlusion.":[170],"Our":[171],"proposed":[172],"MTT":[173],"able":[176],"run":[178],"with":[181],"average":[183],"processing":[184],"time":[185],"20ms.":[187],"We":[188],"evaluate":[189],"our":[192],"experimental":[193],"vehicle":[194],"\"Leonie\"":[195],"scenarios.":[199]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2079537345","counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":2}],"updated_date":"2025-03-21T09:22:45.247694","created_date":"2016-06-24"}