{"id":"https://openalex.org/W3131099061","doi":"https://doi.org/10.5220/0010185600170022","title":"Feature Extraction and Neural Network-based Analysis on Time-correlated LiDAR Histograms","display_name":"Feature Extraction and Neural Network-based Analysis on Time-correlated LiDAR Histograms","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3131099061","doi":"https://doi.org/10.5220/0010185600170022","mag":"3131099061"},"language":"en","primary_location":{"id":"doi:10.5220/0010185600170022","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0010185600170022","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Photonics, Optics and Laser Technology","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0010185600170022","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087476222","display_name":"Gongbo Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100127","display_name":"Fraunhofer Institute for Microelectronic Circuits and Systems","ror":"https://ror.org/01243c877","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210100127","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Gongbo Chen","raw_affiliation_strings":["Fraunhofer Institute of Microelectronic Circuits and Systems (IMS), Finkenstrasse 61, Duisburg, Germany, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute of Microelectronic Circuits and Systems (IMS), Finkenstrasse 61, Duisburg, Germany, --- Select a Country ---","institution_ids":["https://openalex.org/I4210100127"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023430073","display_name":"Pierre Gembaczka","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100127","display_name":"Fraunhofer Institute for Microelectronic Circuits and Systems","ror":"https://ror.org/01243c877","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210100127","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Pierre Gembaczka","raw_affiliation_strings":["Fraunhofer Institute of Microelectronic Circuits and Systems (IMS), Finkenstrasse 61, Duisburg, Germany, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute of Microelectronic Circuits and Systems (IMS), Finkenstrasse 61, Duisburg, Germany, --- Select a Country ---","institution_ids":["https://openalex.org/I4210100127"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046237871","display_name":"Christian Wiede","orcid":"https://orcid.org/0000-0002-2511-4659"},"institutions":[{"id":"https://openalex.org/I4210100127","display_name":"Fraunhofer Institute for Microelectronic Circuits and Systems","ror":"https://ror.org/01243c877","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210100127","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Wiede","raw_affiliation_strings":["Fraunhofer Institute of Microelectronic Circuits and Systems (IMS), Finkenstrasse 61, Duisburg, Germany, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute of Microelectronic Circuits and Systems (IMS), Finkenstrasse 61, Duisburg, Germany, --- Select a Country ---","institution_ids":["https://openalex.org/I4210100127"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075647177","display_name":"Rainer Kokozinski","orcid":"https://orcid.org/0000-0003-3416-3310"},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rainer Kokozinski","raw_affiliation_strings":["University of Duisburg-Essen (UDE), Forsthausweg 2, Duisburg, Germany, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"University of Duisburg-Essen (UDE), Forsthausweg 2, Duisburg, Germany, --- Select a Country ---","institution_ids":["https://openalex.org/I62318514"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087476222"],"corresponding_institution_ids":["https://openalex.org/I4210100127"],"apc_list":null,"apc_paid":null,"fwci":0.1789,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.44347327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"17","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9014000296592712,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9014000296592712,"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/histogram","display_name":"Histogram","score":0.793283224105835},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7306054830551147},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7054334282875061},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.6715332269668579},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6147497892379761},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5717694163322449},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5426372289657593},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4725643992424011},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4717363119125366},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3331480324268341},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.23954319953918457},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23085221648216248},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13340672850608826}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.793283224105835},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7306054830551147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7054334282875061},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6715332269668579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6147497892379761},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5717694163322449},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5426372289657593},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4725643992424011},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4717363119125366},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3331480324268341},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.23954319953918457},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23085221648216248},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13340672850608826},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.5220/0010185600170022","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0010185600170022","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Photonics, Optics and Laser Technology","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-625089","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-625089.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IMS","raw_type":"Conference Paper"},{"id":"pmh:oai:null:publica/410160","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/410160","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":{"id":"doi:10.5220/0010185600170022","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0010185600170022","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Photonics, Optics and Laser Technology","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"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/W4221065211"],"abstract_inverted_index":{"Time":[0],"correlated":[1,102],"single":[2],"photon":[3],"counting":[4],"(TCSPC)":[5],"is":[6,32,57],"used":[7],"to":[8,34,45,59,137],"obtain":[9,35],"the":[10,25,36,40,47,52,60,64,73,77,92,101,114,126,139,144],"time-of-flight":[11],"(TOF)":[12],"information":[13,38,90],"generated":[14],"by":[15,69,72],"single-photon":[16],"avalanche":[17],"diodes.":[18],"With":[19],"restricted":[20],"measurements":[21],"per":[22],"histogram":[23],"and":[24,79,100],"presence":[26],"of":[27,54,88,120,146],"high":[28,147],"background":[29,148],"light,":[30],"it":[31,133],"challenging":[33],"TOF":[37,96,121],"in":[39,91,112,122,143],"statistical":[41,61],"histogram.":[42,62,93],"In":[43],"order":[44],"improve":[46,138],"robustness":[48,111],"under":[49],"these":[50],"conditions,":[51],"concept":[53],"machine":[55],"learning":[56],"applied":[58,136],"Using":[63],"multi-peak":[65,75],"extraction":[66],"method,":[67],"introduced":[68],"us,":[70],"followed":[71],"neural-network-based":[74],"analysis,":[76],"analysis":[78],"resources":[80],"can":[81,134],"be":[82,135],"focused":[83],"on":[84],"a":[85],"small":[86],"amount":[87],"critical":[89],"Multiple":[94],"possible":[95],"positions":[97],"are":[98,104],"evaluated":[99],"soft-decisions":[103],"assigned.":[105],"The":[106],"proposed":[107],"method":[108],"has":[109],"higher":[110],"allocating":[113],"coarse":[115],"position":[116],"(\u00b1":[117],"5":[118],"%)":[119],"harsh":[123],"conditions":[124],"than":[125],"case":[127,145],"using":[128],"classical":[129],"digital":[130],"processing.":[131],"Thus,":[132],"system":[140],"robustness,":[141],"especially":[142],"light.":[149]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
