{"id":"https://openalex.org/W4413926067","doi":"https://doi.org/10.1109/icra55743.2025.11127917","title":"LiDARDustX: A LiDAR Dataset for Dusty Unstructured Road Environments","display_name":"LiDARDustX: A LiDAR Dataset for Dusty Unstructured Road Environments","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4413926067","doi":"https://doi.org/10.1109/icra55743.2025.11127917"},"language":"en","primary_location":{"id":"doi:10.1109/icra55743.2025.11127917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11127917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Automation (ICRA)","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/A5103057260","display_name":"Chenfeng Wei","orcid":"https://orcid.org/0000-0003-0560-3049"},"institutions":[{"id":"https://openalex.org/I77631543","display_name":"Wuxi Institute of Technology","ror":"https://ror.org/00ab95029","country_code":"CN","type":"education","lineage":["https://openalex.org/I77631543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenfeng Wei","raw_affiliation_strings":["Wuxi Intelligent Control Research Institute, HNU,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuxi Intelligent Control Research Institute, HNU,China","institution_ids":["https://openalex.org/I77631543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069545421","display_name":"Qi Wu","orcid":"https://orcid.org/0000-0003-2681-3205"},"institutions":[{"id":"https://openalex.org/I77631543","display_name":"Wuxi Institute of Technology","ror":"https://ror.org/00ab95029","country_code":"CN","type":"education","lineage":["https://openalex.org/I77631543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Wu","raw_affiliation_strings":["Wuxi Intelligent Control Research Institute, HNU,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuxi Intelligent Control Research Institute, HNU,China","institution_ids":["https://openalex.org/I77631543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016155630","display_name":"Si Zuo","orcid":"https://orcid.org/0000-0002-1418-8919"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si Zuo","raw_affiliation_strings":["Hunan University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088559960","display_name":"Jiahua Xu","orcid":"https://orcid.org/0000-0002-3993-5263"},"institutions":[{"id":"https://openalex.org/I77631543","display_name":"Wuxi Institute of Technology","ror":"https://ror.org/00ab95029","country_code":"CN","type":"education","lineage":["https://openalex.org/I77631543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahua Xu","raw_affiliation_strings":["Wuxi Intelligent Control Research Institute, HNU,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuxi Intelligent Control Research Institute, HNU,China","institution_ids":["https://openalex.org/I77631543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022163160","display_name":"Boyang Zhao","orcid":"https://orcid.org/0000-0002-4325-775X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boyang Zhao","raw_affiliation_strings":["Tsinghua University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107492276","display_name":"Zeyu Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyu Yang","raw_affiliation_strings":["Hunan University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101402209","display_name":"Guotao Xie","orcid":"https://orcid.org/0000-0003-4617-7349"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guotao Xie","raw_affiliation_strings":["Hunan University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054194691","display_name":"Shenhong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenhong Wang","raw_affiliation_strings":["Xi'an Jiaotong-Liverpool University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong-Liverpool University,China","institution_ids":["https://openalex.org/I69356397"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9777,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77311327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"12703","last_page":"12709"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9732999801635742,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9732999801635742,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9685999751091003,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11821","display_name":"Odor and Emission Control Technologies","score":0.9513000249862671,"subfield":{"id":"https://openalex.org/subfields/1508","display_name":"Process Chemistry and Technology"},"field":{"id":"https://openalex.org/fields/15","display_name":"Chemical Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.800537645816803},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5592300891876221},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4550020694732666},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3901336193084717},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2298058569431305}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.800537645816803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5592300891876221},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4550020694732666},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3901336193084717},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2298058569431305}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra55743.2025.11127917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11127917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Automation (ICRA)","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":18,"referenced_works":["https://openalex.org/W2031489346","https://openalex.org/W2150066425","https://openalex.org/W2612240805","https://openalex.org/W2955189650","https://openalex.org/W2963727135","https://openalex.org/W2968296999","https://openalex.org/W2991216808","https://openalex.org/W3012494314","https://openalex.org/W3034314779","https://openalex.org/W3035574168","https://openalex.org/W3089903748","https://openalex.org/W3156216502","https://openalex.org/W4292828565","https://openalex.org/W4312617306","https://openalex.org/W4312632985","https://openalex.org/W4312707458","https://openalex.org/W4386076253","https://openalex.org/W4402916721"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4319317934","https://openalex.org/W4406302447","https://openalex.org/W2351984678","https://openalex.org/W2140032575","https://openalex.org/W2011860471","https://openalex.org/W2012196540","https://openalex.org/W3011451421"],"abstract_inverted_index":{"Autonomous":[0],"driving":[1],"datasets":[2,21],"are":[3,22],"essential":[4],"for":[5,55,112],"validating":[6],"the":[7,31,48,98,114,127,137],"progress":[8],"of":[9,33,72,97,116,129,139],"intelligent":[10],"vehicle":[11],"algorithms,":[12],"which":[13,29,51],"include":[14],"localization,":[15],"perception,":[16],"and":[17,35,89,120,134,144],"prediction.":[18],"However,":[19],"existing":[20],"predominantly":[23],"focused":[24],"on":[25,131],"structured":[26],"urban":[27],"environments,":[28],"limits":[30],"exploration":[32],"unstructured":[34],"specialized":[36],"scenarios,":[37],"particularly":[38],"those":[39,63],"characterized":[40],"by":[41,77,84],"significant":[42],"dust":[43,130],"levels.":[44],"This":[45],"paper":[46],"introduces":[47],"LiDARDustX":[49,69],"dataset,":[50,106],"is":[52],"specifically":[53],"designed":[54],"perception":[56,132],"tasks":[57],"under":[58],"high-dust":[59],"conditions,":[60],"such":[61],"as":[62],"encountered":[64],"in":[65],"mining":[66],"areas.":[67],"The":[68,142],"dataset":[70,99],"consists":[71],"30,000":[73],"LiDAR":[74,80],"frames":[75],"captured":[76],"six":[78],"different":[79],"sensors,":[81],"each":[82],"accompanied":[83],"3D":[85,118],"bounding":[86],"box":[87],"annotations":[88],"point":[90],"cloud":[91],"semantic":[92],"segmentation.":[93],"Notably,":[94],"over":[95],"80%":[96],"comprises":[100],"dust-affected":[101],"scenes.":[102],"By":[103],"utilizing":[104],"this":[105],"we":[107,124],"have":[108,125],"established":[109],"a":[110],"benchmark":[111],"evaluating":[113],"performance":[115],"state-of-the-art":[117],"detection":[119],"segmentation":[121],"algorithms.":[122],"Additionally,":[123],"analyzed":[126],"impact":[128],"accuracy":[133],"delved":[135],"into":[136],"causes":[138],"these":[140],"effects.":[141],"data":[143],"further":[145],"information":[146],"can":[147],"be":[148],"accessed":[149],"at:":[150],"https://github.com/vincentweikey/LiDARDustX.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-16T09:24:06.705377","created_date":"2025-10-10T00:00:00"}