{"id":"https://openalex.org/W2007968587","doi":"https://doi.org/10.1109/icarcv.2014.7064451","title":"Basic Micro-Aerial Vehicles (MAVs) obstacles avoidance using monocular computer vision","display_name":"Basic Micro-Aerial Vehicles (MAVs) obstacles avoidance using monocular computer vision","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2007968587","doi":"https://doi.org/10.1109/icarcv.2014.7064451","mag":"2007968587"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2014.7064451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2014.7064451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 13th International Conference on Control Automation Robotics &amp; Vision (ICARCV)","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/A5076825469","display_name":"Lim-Kwan Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150356","display_name":"University of Washington Tacoma","ror":"https://ror.org/05n8t2628","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210150356"]},{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lim-Kwan Kong","raw_affiliation_strings":["Center for Data Science, University of Washington Tacoma, Tacoma, WA, USA","Center for Data Science, University of Washington, Tacoma, Tacoma, WA, 98052, USA"],"affiliations":[{"raw_affiliation_string":"Center for Data Science, University of Washington Tacoma, Tacoma, WA, USA","institution_ids":["https://openalex.org/I4210150356"]},{"raw_affiliation_string":"Center for Data Science, University of Washington, Tacoma, Tacoma, WA, 98052, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026443043","display_name":"Jie Sheng","orcid":"https://orcid.org/0000-0002-0370-8579"},"institutions":[{"id":"https://openalex.org/I4210150356","display_name":"University of Washington Tacoma","ror":"https://ror.org/05n8t2628","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210150356"]},{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Sheng","raw_affiliation_strings":["Center for Data Science, University of Washington Tacoma, Tacoma, WA, USA","Center for Data Science, University of Washington, Tacoma, Tacoma, WA, 98052, USA"],"affiliations":[{"raw_affiliation_string":"Center for Data Science, University of Washington Tacoma, Tacoma, WA, USA","institution_ids":["https://openalex.org/I4210150356"]},{"raw_affiliation_string":"Center for Data Science, University of Washington, Tacoma, Tacoma, WA, 98052, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061359226","display_name":"Ankur Teredesai","orcid":"https://orcid.org/0000-0002-2112-5895"},"institutions":[{"id":"https://openalex.org/I4210150356","display_name":"University of Washington Tacoma","ror":"https://ror.org/05n8t2628","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210150356"]},{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ankur Teredesai","raw_affiliation_strings":["Center for Data Science, University of Washington Tacoma, Tacoma, WA, USA","Center for Data Science, University of Washington, Tacoma, Tacoma, WA, 98052, USA"],"affiliations":[{"raw_affiliation_string":"Center for Data Science, University of Washington Tacoma, Tacoma, WA, USA","institution_ids":["https://openalex.org/I4210150356"]},{"raw_affiliation_string":"Center for Data Science, University of Washington, Tacoma, Tacoma, WA, 98052, USA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076825469"],"corresponding_institution_ids":["https://openalex.org/I201448701","https://openalex.org/I4210150356"],"apc_list":null,"apc_paid":null,"fwci":0.7316,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.74685826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1051","last_page":"1056"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9993000030517578,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9990000128746033,"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/payload","display_name":"Payload (computing)","score":0.8190113306045532},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.8063504099845886},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.7811485528945923},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.7768936157226562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6109504699707031},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.5754745602607727},{"id":"https://openalex.org/keywords/monocular-vision","display_name":"Monocular vision","score":0.5006356239318848},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47630012035369873},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3857119679450989},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.34721559286117554},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3337900936603546},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.24257564544677734},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.20969024300575256},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.19232994318008423},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.1596868634223938}],"concepts":[{"id":"https://openalex.org/C134066672","wikidata":"https://www.wikidata.org/wiki/Q1424639","display_name":"Payload (computing)","level":3,"score":0.8190113306045532},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.8063504099845886},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.7811485528945923},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.7768936157226562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6109504699707031},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.5754745602607727},{"id":"https://openalex.org/C158829959","wikidata":"https://www.wikidata.org/wiki/Q1640606","display_name":"Monocular vision","level":2,"score":0.5006356239318848},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47630012035369873},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3857119679450989},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.34721559286117554},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3337900936603546},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.24257564544677734},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.20969024300575256},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.19232994318008423},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.1596868634223938},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2014.7064451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2014.7064451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 13th International Conference on Control Automation Robotics &amp; Vision (ICARCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1980758857","https://openalex.org/W2060791715","https://openalex.org/W2107684513","https://openalex.org/W2108770514","https://openalex.org/W2129101318","https://openalex.org/W2145160013","https://openalex.org/W2155826521"],"related_works":["https://openalex.org/W2913749762","https://openalex.org/W2321940404","https://openalex.org/W2140606111","https://openalex.org/W3170845014","https://openalex.org/W2991662304","https://openalex.org/W2794689129","https://openalex.org/W2785353696","https://openalex.org/W2355860162","https://openalex.org/W2022120107","https://openalex.org/W2624388109"],"abstract_inverted_index":{"Micro-Aerial":[0],"Vehicles":[1],"(MAVs)":[2],"have":[3,87,99],"gained":[4],"significant":[5],"attention":[6],"lately":[7],"due":[8],"to":[9,41,51,72,75,90],"their":[10],"size":[11,25],"advantage.":[12],"However,":[13],"there":[14],"is":[15,37,53,57],"a":[16,133],"drawback":[17],"of":[18,38,44,97,142,158],"MAVs":[19,49,126],"-":[20],"its":[21],"limited":[22],"payload":[23],"and":[24,127,145],"don't":[26],"allow":[27],"adding":[28],"extensive":[29],"sensors.":[30],"That":[31],"explains":[32],"why":[33],"incorporating":[34],"computer":[35],"vision":[36],"great":[39],"significance":[40],"MAVs.":[42,95],"One":[43],"the":[45,79,119,130,140,143,159,168],"problems":[46],"that":[47],"computer-vision-driven":[48],"need":[50],"overcome":[52],"obstacle":[54,84,123,149],"avoidance,":[55],"which":[56],"very":[58],"important":[59],"for":[60,64,94,125],"autonomic":[61],"vehicles":[62,66],"especially":[63],"aerial":[65],"as":[67],"they":[68,106],"are":[69],"more":[70],"vulnerable":[71],"collision":[73],"compared":[74],"ground":[76],"vehicles.":[77],"Over":[78],"last":[80],"ten":[81],"years,":[82],"several":[83,154],"detection":[85],"algorithms":[86],"been":[88],"developed":[89],"create":[91],"collision-free":[92],"maneuver":[93],"Most":[96],"them":[98],"promising":[100],"results":[101,166],"inside":[102],"virtual":[103],"environment;":[104],"however,":[105],"fail":[107],"miserably":[108],"during":[109],"actual":[110],"flight":[111],"tests.":[112],"In":[113],"this":[114],"project,":[115],"we":[116],"will":[117,161],"investigate":[118],"real-life":[120],"issues":[121],"affecting":[122],"avoidance":[124,150],"carry":[128],"out":[129],"project":[131],"on":[132,167],"physical":[134,169],"drone.":[135,170],"We":[136],"take":[137],"into":[138],"consideration":[139],"limitations":[141],"platform":[144],"derive":[146],"our":[147],"own":[148],"algorithm":[151,160],"by":[152],"combining":[153],"existing":[155],"ones.":[156],"Effectiveness":[157],"be":[162],"demonstrated":[163],"through":[164],"experimental":[165]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
