{"id":"https://openalex.org/W2969506550","doi":"https://doi.org/10.1109/icufn.2019.8806152","title":"A Study on the Obstacle Recognition for Autonomous Driving RC Car Using LiDAR and Thermal Infrared Camera","display_name":"A Study on the Obstacle Recognition for Autonomous Driving RC Car Using LiDAR and Thermal Infrared Camera","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2969506550","doi":"https://doi.org/10.1109/icufn.2019.8806152","mag":"2969506550"},"language":"en","primary_location":{"id":"doi:10.1109/icufn.2019.8806152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icufn.2019.8806152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Eleventh International Conference on Ubiquitous and Future Networks (ICUFN)","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/A5084784821","display_name":"Myeon-gyun Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107562","display_name":"Semyung University","ror":"https://ror.org/01d100w34","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210107562"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Myeon-gyun Cho","raw_affiliation_strings":["School of Information and Communication, Semyung University, Jecheon, Chungbuk, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication, Semyung University, Jecheon, Chungbuk, Republic of Korea","institution_ids":["https://openalex.org/I4210107562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5084784821"],"corresponding_institution_ids":["https://openalex.org/I4210107562"],"apc_list":null,"apc_paid":null,"fwci":6.6121,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.9809901,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"544","last_page":"546"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9800000190734863,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9800000190734863,"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"}},{"id":"https://openalex.org/T13243","display_name":"Innovation in Digital Healthcare Systems","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13924","display_name":"Internet of Things and Social Network Interactions","score":0.9350000023841858,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/obstacle","display_name":"Obstacle","score":0.8904906511306763},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7160726189613342},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.654138445854187},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.6460869908332825},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6047741770744324},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.5734462738037109},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5451492667198181},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5450343489646912},{"id":"https://openalex.org/keywords/brake","display_name":"Brake","score":0.5333960056304932},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.5312063097953796},{"id":"https://openalex.org/keywords/front","display_name":"Front (military)","score":0.5260769724845886},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.49696996808052063},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.2979522943496704},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2907302975654602},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19740286469459534},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.16458529233932495},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12378409504890442},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.11673992872238159},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11027610301971436},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.07682406902313232}],"concepts":[{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.8904906511306763},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7160726189613342},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.654138445854187},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.6460869908332825},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6047741770744324},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.5734462738037109},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5451492667198181},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5450343489646912},{"id":"https://openalex.org/C2780999251","wikidata":"https://www.wikidata.org/wiki/Q17022503","display_name":"Brake","level":2,"score":0.5333960056304932},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.5312063097953796},{"id":"https://openalex.org/C2777551076","wikidata":"https://www.wikidata.org/wiki/Q842332","display_name":"Front (military)","level":2,"score":0.5260769724845886},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.49696996808052063},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.2979522943496704},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2907302975654602},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19740286469459534},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.16458529233932495},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12378409504890442},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.11673992872238159},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11027610301971436},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.07682406902313232},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icufn.2019.8806152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icufn.2019.8806152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Eleventh International Conference on Ubiquitous and Future Networks (ICUFN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8899999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1909440849","https://openalex.org/W2026902500","https://openalex.org/W2042950940","https://openalex.org/W2053782190","https://openalex.org/W2074602185","https://openalex.org/W2090406769","https://openalex.org/W2096727211","https://openalex.org/W2885044190","https://openalex.org/W3083767870","https://openalex.org/W4239949931","https://openalex.org/W6674305251"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W4281783339","https://openalex.org/W1964041166","https://openalex.org/W4390887692","https://openalex.org/W2060079488"],"abstract_inverted_index":{"In":[0,87,113],"this":[1,88],"paper,":[2,89],"we":[3],"propose":[4],"a":[5],"new":[6],"obstacle":[7,37,63],"recognition":[8,38,64],"method":[9,125],"by":[10],"using":[11,66],"infrared":[12,91],"camera":[13,92],"that":[14,23,93,102,137],"can":[15,94],"detect":[16,95],"the":[17,24,28,40,96,103,107,114,117,123,138,146],"heat":[18,97],"and":[19,27,55,68,84,106],"LiDAR":[20,67],"sensors,":[21],"so":[22,101],"front":[25,104],"car":[26,105],"pedestrian":[29,108],"are":[30,109],"recognized":[31,110],"without":[32],"error.":[33],"Collision":[34],"avoidance":[35],"from":[36],"is":[39,98,126,135],"most":[41],"important":[42],"feature":[43],"in":[44,81,111],"ADAS":[45],"(Advanced":[46],"Driver":[47],"Assistance":[48],"System),":[49],"aimed":[50],"at":[51,85,131],"providing":[52],"correct,":[53],"timely":[54],"reliable":[56],"warnings":[57],"before":[58],"an":[59,90],"imminent":[60],"collision.":[61],"Conventional":[62],"technologies":[65],"radar":[69],"have":[70],"caused":[71],"serious":[72],"accidents,":[73],"because":[74],"they":[75],"fail":[76],"to":[77,128,142],"recognize":[78],"objects":[79],"accurately":[80],"bad":[82],"weather":[83],"night.":[86],"additionally":[99],"introduced,":[100],"advance.":[112],"future,":[115],"if":[116],"AEB":[118],"(Automatic":[119],"Emergency":[120],"Brake)":[121],"through":[122],"proposed":[124],"supplied":[127],"elderly":[129,147],"drivers":[130],"low":[132],"prices,":[133],"it":[134],"expected":[136],"mortality":[139],"rate":[140],"due":[141],"traffic":[143],"accidents":[144],"of":[145],"will":[148],"be":[149],"significantly":[150],"reduced.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
