{"id":"https://openalex.org/W4416750098","doi":"https://doi.org/10.1109/iros60139.2025.11247444","title":"RainforestDepth: Monocular Depth Estimation Targeting Rainforest Environments","display_name":"RainforestDepth: Monocular Depth Estimation Targeting Rainforest Environments","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4416750098","doi":"https://doi.org/10.1109/iros60139.2025.11247444"},"language":null,"primary_location":{"id":"doi:10.1109/iros60139.2025.11247444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11247444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5115648968","display_name":"Srisai Anirudh Tangellapalli","orcid":null},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Srisai Anirudh Tangellapalli","raw_affiliation_strings":["University of Nebraska-Lincoln,Nimbus Lab,Lincoln,USA"],"affiliations":[{"raw_affiliation_string":"University of Nebraska-Lincoln,Nimbus Lab,Lincoln,USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015385930","display_name":"Joshua M. Peschel","orcid":"https://orcid.org/0000-0003-4576-2845"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua M. Peschel","raw_affiliation_strings":["Iowa State University,Agricultural &amp; Biosystems Eng,Ames,USA"],"affiliations":[{"raw_affiliation_string":"Iowa State University,Agricultural &amp; Biosystems Eng,Ames,USA","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001009663","display_name":"Brittany A. Duncan","orcid":"https://orcid.org/0000-0002-7289-8273"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brittany A. Duncan","raw_affiliation_strings":["University of Nebraska-Lincoln,Nimbus Lab,Lincoln,USA"],"affiliations":[{"raw_affiliation_string":"University of Nebraska-Lincoln,Nimbus Lab,Lincoln,USA","institution_ids":["https://openalex.org/I114395901"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5115648968"],"corresponding_institution_ids":["https://openalex.org/I114395901"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.43987757,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9854","last_page":"9861"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.5687999725341797,"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":0.5687999725341797,"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":0.2281000018119812,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.06400000303983688,"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/rainforest","display_name":"Rainforest","score":0.8051999807357788},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5180000066757202},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.41999998688697815},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3953000009059906},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.38989999890327454},{"id":"https://openalex.org/keywords/tropical-rainforest","display_name":"Tropical rainforest","score":0.3578999936580658}],"concepts":[{"id":"https://openalex.org/C2619416","wikidata":"https://www.wikidata.org/wiki/Q9444","display_name":"Rainforest","level":2,"score":0.8051999807357788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.651199996471405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5282999873161316},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5180000066757202},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4832000136375427},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42309999465942383},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.41999998688697815},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3953000009059906},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.38989999890327454},{"id":"https://openalex.org/C555313981","wikidata":"https://www.wikidata.org/wiki/Q199403","display_name":"Tropical rainforest","level":3,"score":0.3578999936580658},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.26489999890327454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros60139.2025.11247444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11247444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W2889061519","https://openalex.org/W2935854115","https://openalex.org/W2985775862","https://openalex.org/W3035289617","https://openalex.org/W3118453581","https://openalex.org/W3173727695","https://openalex.org/W4405787750"],"related_works":[],"abstract_inverted_index":{"The":[0,28,134,197],"primary":[1],"objective":[2],"of":[3,153,203],"this":[4],"paper":[5],"is":[6,31,102],"to":[7,35,61,91,96],"introduce":[8],"a":[9,20,105,114,154,183,194,224],"new":[10],"monocular":[11,205],"depth":[12,119,206],"estimation":[13,207],"(MDE)":[14],"model":[15,30,101,136,174,199],"targeting":[16],"under-represented":[17,74],"environments":[18,53,158],"using":[19,104,113,144],"novel":[21],"dataset":[22,108,116],"combining":[23],"synthetic":[24,115],"and":[25,33,41,70,118,148,163,180,215,218],"real":[26],"images.":[27],"proposed":[29,135],"small":[32],"fast":[34],"allow":[36,138],"use":[37],"for":[38,139,166,210],"UAS":[39,155],"navigation":[40,142,152],"data":[42,71],"collection":[43],"in":[44,63,126,131,156,187,223],"rainforest":[45,107,141,157,225],"environments.":[46],"Prior":[47],"works":[48],"on":[49,56],"MDEs":[50,84,88],"target":[51],"outdoor":[52],"while":[54,192],"focusing":[55],"urban,":[57],"ground-level":[58],"viewpoints":[59],"due":[60],"interest":[62],"self-driving":[64],"or":[65],"autonomous":[66],"package":[67],"delivery":[68],"applications":[69],"availability.":[72],"However,":[73],"environments,":[75,212,217],"such":[76,169],"as":[77,170],"rainforests,":[78],"can":[79,149],"benefit":[80],"from":[81,122],"targeted,":[82],"environment-specific":[83],"because":[85],"existing":[86],"general":[87],"cannot":[89],"adapt":[90],"extreme":[92],"environmental":[93],"differences,":[94],"leading":[95],"high":[97],"error":[98,190],"rates.":[99],"Our":[100,173],"trained":[103],"distinct":[106],"that":[109],"combines":[110],"images":[111,120],"generated":[112],"pipeline":[117],"collected":[121],"aerial":[123],"robot":[124],"deployments":[125],"the":[127,151,178,188,201],"Children\u2019s":[128],"Eternal":[129],"Rainforest":[130],"Costa":[132],"Rica.":[133],"will":[137],"improved":[140],"without":[143],"expensive":[145],"LIDAR":[146],"sensors":[147],"improve":[150],"by":[159],"providing":[160],"more":[161],"accurate":[162],"useful":[164],"measurements":[165],"object":[167],"manipulation,":[168],"leaf":[171],"sampling.":[172],"outperforms":[175,219],"MiDaS":[176],"across":[177],"board":[179],"has":[181],"over":[182],"75%":[184],"improvement,":[185],"specifically":[186],"relative":[189],"metrics,":[191],"maintaining":[193],"low":[195],"runtime.":[196],"resulting":[198],"matches":[200],"performance":[202],"state-of-the-art":[204],"models":[208],"designed":[209],"common":[211],"i.e.,":[213],"urban":[214],"indoor":[216],"them":[220],"when":[221],"used":[222],"environment.":[226]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-28T00:00:00"}
