{"id":"https://openalex.org/W1971995160","doi":"https://doi.org/10.1109/robio.2010.5723573","title":"Vision and laser sensor data fusion technique for target approaching by outdoor mobile robot","display_name":"Vision and laser sensor data fusion technique for target approaching by outdoor mobile robot","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W1971995160","doi":"https://doi.org/10.1109/robio.2010.5723573","mag":"1971995160"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2010.5723573","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2010.5723573","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Robotics and Biomimetics","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/A5109071380","display_name":"Aneesh N. Chand","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Aneesh Chand","raw_affiliation_strings":["Intelligent Robot Laboratory, School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan","Intelligent Robot Laboratory, Graduate School of Systems and Information Engineering, University of Tsukuba, 1-1-1 Tennodai, 305-8573, Japan"],"affiliations":[{"raw_affiliation_string":"Intelligent Robot Laboratory, School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":"Intelligent Robot Laboratory, Graduate School of Systems and Information Engineering, University of Tsukuba, 1-1-1 Tennodai, 305-8573, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":null,"display_name":"Shin`ichi Yuta","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shin`ichi Yuta","raw_affiliation_strings":["Intelligent Robot Laboratory, School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan","Intelligent Robot Laboratory, Graduate School of Systems and Information Engineering, University of Tsukuba, 1-1-1 Tennodai, 305-8573, Japan"],"affiliations":[{"raw_affiliation_string":"Intelligent Robot Laboratory, School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":"Intelligent Robot Laboratory, Graduate School of Systems and Information Engineering, University of Tsukuba, 1-1-1 Tennodai, 305-8573, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109071380"],"corresponding_institution_ids":["https://openalex.org/I146399215"],"apc_list":null,"apc_paid":null,"fwci":51.5953,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.99419325,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"22","issue":null,"first_page":"1624","last_page":"1629"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9995999932289124,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9984999895095825,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8006646037101746},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.7015661001205444},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6922463178634644},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6553764939308167},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5390450954437256},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5379998683929443},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5316016674041748},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.4619610011577606},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.340593159198761},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22862103581428528}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8006646037101746},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.7015661001205444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6922463178634644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6553764939308167},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5390450954437256},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5379998683929443},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5316016674041748},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.4619610011577606},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.340593159198761},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22862103581428528},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2010.5723573","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2010.5723573","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Robotics and Biomimetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8399999737739563,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1554903549","https://openalex.org/W2130706967","https://openalex.org/W2133597821","https://openalex.org/W2136556525","https://openalex.org/W2161873380","https://openalex.org/W2164598857","https://openalex.org/W2572349024","https://openalex.org/W3083258709","https://openalex.org/W6633389574","https://openalex.org/W6731573992"],"related_works":["https://openalex.org/W2348909947","https://openalex.org/W4292672442","https://openalex.org/W2362101859","https://openalex.org/W2791431590","https://openalex.org/W2941610985","https://openalex.org/W4235810826","https://openalex.org/W2350688482","https://openalex.org/W2122135111","https://openalex.org/W2122871747","https://openalex.org/W3114279067"],"abstract_inverted_index":{"The":[0,106,188],"authors":[1],"have":[2],"been":[3],"developing":[4],"an":[5,30,74],"outdoor":[6,75],"mobile":[7,46,76],"robot":[8,47,77,154],"intended":[9],"to":[10,101,125,143,152],"provide":[11],"increased":[12],"traveling":[13,25],"distance":[14],"by":[15,44],"autonomously":[16,93],"negotiating":[17],"and":[18,68,81,134,155,170,182,208],"crossing":[19,22,104],"a":[20,40,45,59,65,86,145,185],"road":[21],"intersection":[23],"while":[24],"along":[26],"pedestrian":[27,41,96],"sidewalks":[28],"in":[29,99,130,184],"urban":[31],"environment.":[32],"In":[33],"this":[34],"paper,":[35],"high":[36],"precision":[37],"navigation":[38],"towards":[39,85],"push-button":[42],"box":[43,88],"for":[48,194],"the":[49,53,95,103,110,114,117,121,127,131,139,149,153,158,167,171,174,203,206],"autonomous":[50],"activation":[51],"of":[52,113,120,148,197,205],"button":[54,87,98],"is":[55,191],"presented.":[56],"We":[57],"show":[58],"dual":[60],"sensor":[61,71,119,142],"fusion":[62],"technique":[63],"using":[64,123,136],"monocular":[66],"camera":[67],"laser":[69,140,175],"range":[70,141],"with":[72],"which":[73],"can":[78],"detect,":[79],"localize":[80],"then":[82,135],"accurately":[83],"navigate":[84],"so":[89],"that":[90],"it":[91,124],"could":[92],"press":[94],"push":[97],"order":[100],"trigger":[102],"sequence.":[105],"method":[107,190],"involves":[108],"determining":[109],"image":[111,118],"formation":[112],"target":[115,198],"on":[116],"camera,":[122],"estimate":[126],"object":[128,150],"position":[129],"real":[132],"world":[133],"data":[137,177],"from":[138],"acquire":[144],"precise":[146],"location":[147],"relative":[151],"finally":[156],"perform":[157],"path":[159],"planning.":[160],"A":[161],"two-tiered":[162],"validation":[163],"system,":[164],"one":[165],"at":[166,173],"vision":[168],"level":[169],"second":[172],"scan":[176],"level,":[178],"detects":[179],"inaccurate":[180],"detections":[181],"results":[183,201],"robust":[186],"system.":[187],"proposed":[189],"also":[192,212],"applicable":[193],"any":[195],"form":[196],"approaching.":[199],"Experimental":[200],"verify":[202],"efficacy":[204],"system":[207],"concluding":[209],"remarks":[210],"are":[211],"given.":[213]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
