{"id":"https://openalex.org/W4385250048","doi":"https://doi.org/10.1109/med59994.2023.10185732","title":"Point2Depth: a GAN-based Contrastive Learning Approach for mmWave Point Clouds to Depth Images Transformation","display_name":"Point2Depth: a GAN-based Contrastive Learning Approach for mmWave Point Clouds to Depth Images Transformation","publication_year":2023,"publication_date":"2023-06-26","ids":{"openalex":"https://openalex.org/W4385250048","doi":"https://doi.org/10.1109/med59994.2023.10185732"},"language":"en","primary_location":{"id":"doi:10.1109/med59994.2023.10185732","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/med59994.2023.10185732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st Mediterranean Conference on Control and Automation (MED)","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/A5089377677","display_name":"Walter Brescia","orcid":"https://orcid.org/0009-0000-9943-3727"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Walter Brescia","raw_affiliation_strings":["Politecnico,di Bari","Politecnico, di Bari"],"affiliations":[{"raw_affiliation_string":"Politecnico,di Bari","institution_ids":[]},{"raw_affiliation_string":"Politecnico, di Bari","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101181538","display_name":"Giuseppe Roberto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Giuseppe Roberto","raw_affiliation_strings":["Politecnico,di Bari","Politecnico, di Bari"],"affiliations":[{"raw_affiliation_string":"Politecnico,di Bari","institution_ids":[]},{"raw_affiliation_string":"Politecnico, di Bari","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092410755","display_name":"Vito Andrea Racanelli","orcid":"https://orcid.org/0000-0002-9507-7398"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vito Andrea Racanelli","raw_affiliation_strings":["Politecnico,di Bari","Politecnico, di Bari"],"affiliations":[{"raw_affiliation_string":"Politecnico,di Bari","institution_ids":[]},{"raw_affiliation_string":"Politecnico, di Bari","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010345083","display_name":"Saverio Mascolo","orcid":"https://orcid.org/0000-0001-9686-5532"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saverio Mascolo","raw_affiliation_strings":["Politecnico,di Bari","Politecnico, di Bari"],"affiliations":[{"raw_affiliation_string":"Politecnico,di Bari","institution_ids":[]},{"raw_affiliation_string":"Politecnico, di Bari","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028924887","display_name":"Luca De Cicco","orcid":"https://orcid.org/0000-0002-8900-175X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luca De Cicco","raw_affiliation_strings":["Politecnico,di Bari","Politecnico, di Bari"],"affiliations":[{"raw_affiliation_string":"Politecnico,di Bari","institution_ids":[]},{"raw_affiliation_string":"Politecnico, di Bari","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089377677"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03964943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"529","last_page":"534"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9980000257492065,"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":0.9980000257492065,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.992900013923645,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9927999973297119,"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/computer-science","display_name":"Computer science","score":0.8048417568206787},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7846587896347046},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.664914608001709},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5800468325614929},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5460054278373718},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.47253182530403137}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8048417568206787},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7846587896347046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.664914608001709},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5800468325614929},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5460054278373718},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.47253182530403137},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/med59994.2023.10185732","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/med59994.2023.10185732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st Mediterranean Conference on Control and Automation (MED)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2106053110","https://openalex.org/W2125389028","https://openalex.org/W2560609797","https://openalex.org/W2766736793","https://openalex.org/W2796461436","https://openalex.org/W2944828972","https://openalex.org/W2949860773","https://openalex.org/W2963073614","https://openalex.org/W2963911235","https://openalex.org/W3015437096","https://openalex.org/W3096831136","https://openalex.org/W3101609628","https://openalex.org/W3115293622","https://openalex.org/W3121111736","https://openalex.org/W3190179333","https://openalex.org/W4286502891","https://openalex.org/W4287812705","https://openalex.org/W6675751002","https://openalex.org/W6678815747","https://openalex.org/W6762573206","https://openalex.org/W6763422710","https://openalex.org/W6776700526"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"The":[0,147],"perception":[1],"of":[2,19,45,65],"the":[3,14,43,46,115,152],"environment":[4],"is":[5,154],"essential":[6],"in":[7,73,162],"mobile":[8],"robotics":[9],"applications":[10],"as":[11],"it":[12],"enables":[13],"proper":[15],"planning":[16],"and":[17,42,62,85,144],"execution":[18],"efficient":[20],"navigation":[21],"strategies.":[22],"Optical":[23],"sensors":[24,54,110],"offer":[25],"many":[26],"advantages,":[27],"ranging":[28],"from":[29,108],"precision":[30],"to":[31,103,131,156],"understandability,":[32],"but":[33],"they":[34],"can":[35],"be":[36],"significantly":[37],"impacted":[38],"by":[39,58],"lighting":[40],"conditions":[41],"composition":[44],"surroundings.":[47],"In":[48],"contrast,":[49],"millimeter":[50],"wave":[51],"(mmWave)":[52],"radar":[53],"are":[55,63,82],"not":[56],"influenced":[57],"such":[59,79],"adverse":[60],"condition":[61],"capable":[64],"detecting":[66],"partially":[67],"or":[68],"fully":[69],"obstructed":[70],"obstacles,":[71],"resulting":[72],"more":[74,121],"informative":[75],"point":[76,80,106],"clouds.":[77],"However,":[78],"clouds":[81,107],"often":[83],"sparse":[84,105],"noisy.":[86],"This":[87],"work":[88],"presents":[89],"Point2Depth,":[90],"a":[91,120,133,142,145],"cross-modal":[92],"contrastive":[93],"learning":[94],"approach":[95,153],"based":[96],"on":[97],"Conditional":[98],"Generative":[99],"Adversarial":[100],"Networks":[101],"(cGANs)":[102],"transform":[104],"mmWave":[109],"into":[111],"depth":[112,159],"images,":[113,160],"preserving":[114],"distance":[116],"information":[117,139],"while":[118],"producing":[119],"comprehensible":[122],"representation.":[123],"An":[124],"extensive":[125],"data":[126],"collection":[127],"phase":[128],"was":[129],"conducted":[130],"create":[132],"rich":[134],"multimodal":[135],"dataset":[136],"with":[137,141],"each":[138],"associated":[140],"timestamp":[143],"pose.":[146],"experimental":[148],"results":[149],"demonstrate":[150],"that":[151],"able":[155],"produce":[157],"accurate":[158],"even":[161],"challenging":[163],"environmental":[164],"conditions.":[165]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
