{"id":"https://openalex.org/W3163648926","doi":"https://doi.org/10.3390/rs13101953","title":"Multiple Pedestrians and Vehicles Tracking in Aerial Imagery Using a Convolutional Neural Network","display_name":"Multiple Pedestrians and Vehicles Tracking in Aerial Imagery Using a Convolutional Neural Network","publication_year":2021,"publication_date":"2021-05-17","ids":{"openalex":"https://openalex.org/W3163648926","doi":"https://doi.org/10.3390/rs13101953","mag":"3163648926"},"language":"en","primary_location":{"id":"doi:10.3390/rs13101953","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13101953","pdf_url":"https://www.mdpi.com/2072-4292/13/10/1953/pdf?version=1621400650","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/13/10/1953/pdf?version=1621400650","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006333653","display_name":"Seyed Majid Azimi","orcid":"https://orcid.org/0000-0002-6084-2272"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Seyed Majid Azimi","raw_affiliation_strings":["Department of Aerospace and Geodesy, Technical University of Munich, 80333 Munich, Germany","German Aerospace Center (DLR), Remote Sensing Technology Institute (IMF), 82234 Wessling, Germany"],"raw_orcid":"https://orcid.org/0000-0002-6084-2272","affiliations":[{"raw_affiliation_string":"Department of Aerospace and Geodesy, Technical University of Munich, 80333 Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"German Aerospace Center (DLR), Remote Sensing Technology Institute (IMF), 82234 Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026780916","display_name":"Maximilian Kraus","orcid":"https://orcid.org/0009-0004-1998-5871"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maximilian Kraus","raw_affiliation_strings":["Department of Informatics, Technical University of Munich, 85748 Garching, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Technical University of Munich, 85748 Garching, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059642844","display_name":"Reza Bahmanyar","orcid":"https://orcid.org/0000-0002-6999-714X"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Reza Bahmanyar","raw_affiliation_strings":["German Aerospace Center (DLR), Remote Sensing Technology Institute (IMF), 82234 Wessling, Germany"],"raw_orcid":"https://orcid.org/0000-0002-6999-714X","affiliations":[{"raw_affiliation_string":"German Aerospace Center (DLR), Remote Sensing Technology Institute (IMF), 82234 Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052386553","display_name":"Peter Reinartz","orcid":"https://orcid.org/0000-0002-8122-1475"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Peter Reinartz","raw_affiliation_strings":["German Aerospace Center (DLR), Remote Sensing Technology Institute (IMF), 82234 Wessling, Germany"],"raw_orcid":"https://orcid.org/0000-0002-8122-1475","affiliations":[{"raw_affiliation_string":"German Aerospace Center (DLR), Remote Sensing Technology Institute (IMF), 82234 Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006333653"],"corresponding_institution_ids":["https://openalex.org/I2898391981","https://openalex.org/I62916508"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":1839,"currency":"EUR","value_usd":1983},"fwci":1.4547,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.83904132,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"13","issue":"10","first_page":"1953","last_page":"1953"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":0.995199978351593,"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/T11133","display_name":"UAV Applications and Optimization","score":0.9890999794006348,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8397114276885986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7303340435028076},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6714770793914795},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6224252581596375},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5682267546653748},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5472102761268616},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5103251338005066},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47364604473114014},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4488277733325958},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4358093738555908},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4182016849517822},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.4158066511154175},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35004767775535583},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34607261419296265}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8397114276885986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7303340435028076},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6714770793914795},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6224252581596375},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5682267546653748},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5472102761268616},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5103251338005066},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47364604473114014},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4488277733325958},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4358093738555908},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4182016849517822},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.4158066511154175},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35004767775535583},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34607261419296265},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/rs13101953","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13101953","pdf_url":"https://www.mdpi.com/2072-4292/13/10/1953/pdf?version=1621400650","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:elib.dlr.de:144385","is_oa":false,"landing_page_url":"https://doi.org/10.3390/rs13101953>.","pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:doaj.org/article:b2ee453fae234112b8cb02d4480a95bf","is_oa":true,"landing_page_url":"https://doaj.org/article/b2ee453fae234112b8cb02d4480a95bf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 13, Iss 10, p 1953 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/10/1953/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13101953","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1727814","is_oa":true,"landing_page_url":"https://mediatum.ub.tum.de/1727814","pdf_url":null,"source":{"id":"https://openalex.org/S4377196330","display_name":"mediaTUM  (Technical University of Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs13101953","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13101953","pdf_url":"https://www.mdpi.com/2072-4292/13/10/1953/pdf?version=1621400650","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3163648926.pdf","grobid_xml":"https://content.openalex.org/works/W3163648926.grobid-xml"},"referenced_works_count":74,"referenced_works":["https://openalex.org/W9513853","https://openalex.org/W165087766","https://openalex.org/W639708223","https://openalex.org/W1483870316","https://openalex.org/W1491152520","https://openalex.org/W1536467636","https://openalex.org/W1550439380","https://openalex.org/W1578227442","https://openalex.org/W1594676769","https://openalex.org/W1964846093","https://openalex.org/W2005040959","https://openalex.org/W2044828101","https://openalex.org/W2064094295","https://openalex.org/W2078413699","https://openalex.org/W2088861161","https://openalex.org/W2103243027","https://openalex.org/W2103766514","https://openalex.org/W2105934661","https://openalex.org/W2109489741","https://openalex.org/W2117064915","https://openalex.org/W2122469558","https://openalex.org/W2140856490","https://openalex.org/W2141883702","https://openalex.org/W2147953023","https://openalex.org/W2154889144","https://openalex.org/W2165737454","https://openalex.org/W2171447090","https://openalex.org/W2183341477","https://openalex.org/W2211629196","https://openalex.org/W2214352687","https://openalex.org/W2222512263","https://openalex.org/W2225887246","https://openalex.org/W2252355370","https://openalex.org/W2280226538","https://openalex.org/W2293873019","https://openalex.org/W2343187456","https://openalex.org/W2424778531","https://openalex.org/W2470394683","https://openalex.org/W2470456807","https://openalex.org/W2491179239","https://openalex.org/W2511791013","https://openalex.org/W2520433280","https://openalex.org/W2558899534","https://openalex.org/W2579024533","https://openalex.org/W2603203130","https://openalex.org/W2751547291","https://openalex.org/W2752782242","https://openalex.org/W2766836212","https://openalex.org/W2776840591","https://openalex.org/W2788055254","https://openalex.org/W2799058067","https://openalex.org/W2801139596","https://openalex.org/W2801667201","https://openalex.org/W2897666265","https://openalex.org/W2911392513","https://openalex.org/W2920942303","https://openalex.org/W2963351448","https://openalex.org/W2963516811","https://openalex.org/W2963791342","https://openalex.org/W2964242925","https://openalex.org/W2964253307","https://openalex.org/W2975467257","https://openalex.org/W2980620344","https://openalex.org/W2981393651","https://openalex.org/W2998094892","https://openalex.org/W3015505697","https://openalex.org/W3034679090","https://openalex.org/W3037734966","https://openalex.org/W3104218139","https://openalex.org/W4249736682","https://openalex.org/W6632877893","https://openalex.org/W6683411478","https://openalex.org/W6687483927","https://openalex.org/W6695416801"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W2969228573","https://openalex.org/W4320729701"],"abstract_inverted_index":{"In":[0,122,167,202],"this":[1],"paper,":[2],"we":[3,75,99,112,125],"address":[4],"various":[5],"challenges":[6,230],"in":[7,12],"multi-pedestrian":[8],"and":[9,24,29,49,61,71,83,114,118,137,141,145,159,172,185,231],"vehicle":[10,142,165],"tracking":[11,180],"high-resolution":[13],"aerial":[14,131,235],"imagery":[15],"by":[16],"intensive":[17],"evaluation":[18],"of":[19,22,79,91,96,219,233],"a":[20,53,57,62,226],"number":[21],"traditional":[23],"Deep":[25,38],"Learning":[26,39],"based":[27,40],"Single-":[28],"Multi-Object":[30,41,109,132,236],"Tracking":[31,42,133,237],"methods.":[32],"We":[33],"also":[34],"describe":[35],"our":[36,97,123],"proposed":[37],"method":[43],"AerialMPTNet":[44,128,150],"that":[45,149],"fuses":[46],"appearance,":[47],"temporal,":[48],"graphical":[50],"information":[51],"using":[52,183],"Siamese":[54],"Neural":[55,65,175],"Network,":[56],"Long":[58,169],"Short-Term":[59,170],"Memory,":[60],"Graph":[63,173],"Convolutional":[64,174],"Network":[66,176],"module":[67],"for":[68,107,155,163,192,199,217,242],"more":[69],"accurate":[70],"stable":[72],"tracking.":[73],"Moreover,":[74,182],"investigate":[76],"the":[77,80,89,94,101,116,156,164,179,197,206,220,234,240],"influence":[78],"Squeeze-and-Excitation":[81,184],"layers":[82],"Online":[84,186],"Hard":[85,187],"Example":[86,188],"Mining":[87,189],"on":[88,129],"performance":[90],"AerialMPTNet.":[92],"To":[93],"best":[95],"knowledge,":[98],"are":[100],"first":[102],"to":[103,205,214],"use":[104],"these":[105],"two":[106],"regression-based":[108],"Tracking.":[110],"Additionally,":[111],"studied":[113],"compared":[115],"L1":[117,208],"Huber":[119,215],"loss":[120,216],"functions.":[121],"experiments,":[124],"extensively":[126],"evaluate":[127],"three":[130],"datasets,":[134],"namely":[135],"AerialMPT":[136],"KIT":[138],"AIS":[139],"pedestrian":[140,157],"datasets.":[143],"Qualitative":[144],"quantitative":[146],"results":[147,162,198,211,224],"show":[148],"outperforms":[151],"all":[152],"previous":[153],"methods":[154],"datasets":[158],"achieves":[160],"competitive":[161],"dataset.":[166],"addition,":[168,203],"Memory":[171],"modules":[177],"enhance":[178],"performance.":[181],"significantly":[190],"helps":[191],"some":[193],"cases":[194],"while":[195],"degrades":[196],"other":[200],"cases.":[201],"according":[204],"results,":[207],"yields":[209],"better":[210],"with":[212],"respect":[213],"most":[218],"scenarios.":[221],"The":[222],"presented":[223],"provide":[225],"deep":[227],"insight":[228],"into":[229],"opportunities":[232],"domain,":[238],"paving":[239],"way":[241],"future":[243],"research.":[244]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
