{"id":"https://openalex.org/W4407692367","doi":"https://doi.org/10.1109/iceic64972.2025.10879660","title":"Efficient Monocular Depth Estimation with Cost-Effective 2D LiDAR Integration for Mobile Robots","display_name":"Efficient Monocular Depth Estimation with Cost-Effective 2D LiDAR Integration for Mobile Robots","publication_year":2025,"publication_date":"2025-01-19","ids":{"openalex":"https://openalex.org/W4407692367","doi":"https://doi.org/10.1109/iceic64972.2025.10879660"},"language":"en","primary_location":{"id":"doi:10.1109/iceic64972.2025.10879660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic64972.2025.10879660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Electronics, Information, and Communication (ICEIC)","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/A5094185925","display_name":"Hyunwoo Rim","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyunwoo Rim","raw_affiliation_strings":["(AgeTech-Service Convergence Major) Kyung Hee University,Department of Electronic Engineering,Yongin,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"(AgeTech-Service Convergence Major) Kyung Hee University,Department of Electronic Engineering,Yongin,Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076612775","display_name":"Jinyeob Kim","orcid":"https://orcid.org/0009-0005-2349-0801"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinyeob Kim","raw_affiliation_strings":["Kyung Hee University,Department of Artificial Intelligence,Yongin,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Artificial Intelligence,Yongin,Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043065235","display_name":"Daewon Kwak","orcid":"https://orcid.org/0000-0002-1545-0149"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Daewon Kwak","raw_affiliation_strings":["Kyung Hee University,Department of Artificial Intelligence,Yongin,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Artificial Intelligence,Yongin,Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100616119","display_name":"Donghan Kim","orcid":"https://orcid.org/0000-0003-0477-3847"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Donghan Kim","raw_affiliation_strings":["(AgeTech-Service Convergence Major) Kyung Hee University,Department of Electronic Engineering,Yongin,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"(AgeTech-Service Convergence Major) Kyung Hee University,Department of Electronic Engineering,Yongin,Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5094185925"],"corresponding_institution_ids":["https://openalex.org/I35928602"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01324893,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9993000030517578,"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"}},"topics":[{"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":0.9987000226974487,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9926999807357788,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7681924104690552},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.681067943572998},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.6719916462898254},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6557453870773315},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5792983770370483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5767603516578674},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5242676734924316},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5043638944625854},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.24628984928131104},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2070641815662384},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.127956360578537}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7681924104690552},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.681067943572998},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.6719916462898254},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6557453870773315},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5792983770370483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5767603516578674},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5242676734924316},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5043638944625854},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.24628984928131104},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2070641815662384},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.127956360578537},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceic64972.2025.10879660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic64972.2025.10879660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W2130422193","https://openalex.org/W3021168583","https://openalex.org/W3045086295","https://openalex.org/W3118635606","https://openalex.org/W3173727695","https://openalex.org/W4226112588","https://openalex.org/W4296005995","https://openalex.org/W4372346760","https://openalex.org/W4386432320","https://openalex.org/W4401497548","https://openalex.org/W6685261749","https://openalex.org/W6764514022"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W4406302447","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/W2122871747","https://openalex.org/W3114279067"],"abstract_inverted_index":{"This":[0],"study":[1],"introduces":[2],"a":[3,68],"cost-effective":[4],"neural":[5],"network":[6],"model":[7,69],"designed":[8],"for":[9,54],"monocular":[10,24,48],"depth":[11,25,49,75],"estimation,":[12],"combining":[13],"low-cost":[14],"RGB":[15],"cameras":[16],"and":[17,35,61,78],"single-channel":[18],"2D":[19],"LiDAR":[20],"sensors.":[21],"While":[22],"many":[23],"estimation":[26,50,76],"methods":[27],"achieve":[28],"impressive":[29],"performance,":[30],"they":[31],"require":[32],"high":[33],"costs":[34],"computational":[36],"resources,":[37],"limiting":[38],"their":[39],"use":[40],"in":[41],"small":[42],"robotic":[43,55],"platforms.":[44],"Attempts":[45],"to":[46,73,80],"lighten":[47],"are":[51],"more":[52],"affordable":[53],"platforms,":[56],"but":[57],"often":[58],"lack":[59],"accuracy":[60,77],"robustness.":[62],"To":[63],"address":[64],"this,":[65],"we":[66],"propose":[67],"incorporating":[70],"sensor":[71],"fusion":[72],"enhance":[74],"resilience":[79],"noise.":[81]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}