{"id":"https://openalex.org/W4306317839","doi":"https://doi.org/10.1145/3511808.3557144","title":"Efficient Compression Method for Roadside LiDAR Data","display_name":"Efficient Compression Method for Roadside LiDAR Data","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4306317839","doi":"https://doi.org/10.1145/3511808.3557144"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557144","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557144","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","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/A5086046043","display_name":"Md Parvez Mollah","orcid":"https://orcid.org/0000-0002-7131-1354"},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Parvez Mollah","raw_affiliation_strings":["The University of New Mexico, Albuquerque, NM, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of New Mexico, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I169521973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046274165","display_name":"Biplob Debnath","orcid":"https://orcid.org/0009-0006-6932-0311"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Biplob Debnath","raw_affiliation_strings":["NEC Laboratories America, Princeton, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Laboratories America, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017337762","display_name":"Murugan Sankaradas","orcid":"https://orcid.org/0000-0002-4608-1630"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Murugan Sankaradas","raw_affiliation_strings":["NEC Laboratories America, Princeton, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Laboratories America, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042424184","display_name":"Srimat Chakradhar","orcid":"https://orcid.org/0000-0003-3530-3901"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srimat Chakradhar","raw_affiliation_strings":["NEC Laboratories America, Princeton, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Laboratories America, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025138797","display_name":"Abdullah Mueen","orcid":"https://orcid.org/0000-0002-4839-1624"},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abdullah Mueen","raw_affiliation_strings":["The University of New Mexico, Albuquerque, NM, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of New Mexico, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I169521973"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2224,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79274411,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3371","last_page":"3380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9991999864578247,"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":0.9991999864578247,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9961000084877014,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.9058833122253418},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8022567629814148},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.711432695388794},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.6326671838760376},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5596200227737427},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5281496047973633},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5117766261100769},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4812904894351959},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4724058508872986},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4639652967453003},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4146338105201721},{"id":"https://openalex.org/keywords/safer","display_name":"SAFER","score":0.41117045283317566},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.36798661947250366},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2515608072280884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21961262822151184},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10646888613700867},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09972947835922241},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09886980056762695}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.9058833122253418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8022567629814148},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.711432695388794},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.6326671838760376},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5596200227737427},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5281496047973633},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5117766261100769},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4812904894351959},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4724058508872986},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4639652967453003},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4146338105201721},{"id":"https://openalex.org/C2776654903","wikidata":"https://www.wikidata.org/wiki/Q2601463","display_name":"SAFER","level":2,"score":0.41117045283317566},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.36798661947250366},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2515608072280884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21961262822151184},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10646888613700867},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09972947835922241},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09886980056762695},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3511808.3557144","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557144","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.75,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G4097964247","display_name":null,"funder_award_id":"OIA-1757207, Grants CNS- 2008910 and RI-2104537","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"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":12,"referenced_works":["https://openalex.org/W2024165284","https://openalex.org/W2089080831","https://openalex.org/W2150066425","https://openalex.org/W2909746114","https://openalex.org/W2952363466","https://openalex.org/W3014883200","https://openalex.org/W3088821986","https://openalex.org/W3103299328","https://openalex.org/W3157231949","https://openalex.org/W4221161046","https://openalex.org/W4233072381","https://openalex.org/W4236898369"],"related_works":["https://openalex.org/W2783354812","https://openalex.org/W4384112194","https://openalex.org/W2103009189","https://openalex.org/W4312958259","https://openalex.org/W4308259661","https://openalex.org/W4390813131","https://openalex.org/W2594043982","https://openalex.org/W3036493597","https://openalex.org/W4293094720","https://openalex.org/W2739701376"],"abstract_inverted_index":{"Roadside":[0],"LiDAR":[1,41,66],"(Light":[2],"Detection":[3],"and":[4,18,22,91],"Ranging)":[5],"sensors":[6],"are":[7,87],"recently":[8],"being":[9],"explored":[10],"for":[11,51],"intelligent":[12],"transportation":[13],"systems":[14,30],"aiming":[15],"at":[16],"safer":[17],"faster":[19],"traffic":[20],"management":[21],"vehicular":[23],"operations.":[24],"A":[25],"key":[26],"challenge":[27],"in":[28,68],"such":[29],"is":[31],"to":[32,43],"efficiently":[33],"transfer":[34],"massive":[35],"point-cloud":[36,80],"data":[37,67],"from":[38],"the":[39,44,59],"roadside":[40,63],"devices":[42],"edge":[45],"connected":[46],"through":[47],"a":[48,72],"5G":[49],"network":[50],"real-time":[52,69],"processing.":[53],"In":[54],"this":[55],"paper,":[56],"we":[57],"consider":[58],"problem":[60],"of":[61],"compressing":[62],"(i.e.":[64],"static)":[65],"that":[70],"provides":[71],"unique":[73],"condition":[74],"unexplored":[75],"by":[76],"current":[77],"methods.":[78],"Existing":[79],"compression":[81],"methods":[82],"assume":[83],"moving":[84],"LiDARs":[85],"(that":[86],"mounted":[88],"on":[89],"vehicles)":[90],"do":[92],"not":[93],"exploit":[94],"spatial":[95],"consistency":[96],"across":[97],"frames":[98],"over":[99],"time.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}