{"id":"https://openalex.org/W4416956306","doi":"https://doi.org/10.1145/3769102.3774249","title":"Drone-Based Standardized Environmental and Usage Assessment of Parks and Trails","display_name":"Drone-Based Standardized Environmental and Usage Assessment of Parks and Trails","publication_year":2025,"publication_date":"2025-12-03","ids":{"openalex":"https://openalex.org/W4416956306","doi":"https://doi.org/10.1145/3769102.3774249"},"language":null,"primary_location":{"id":"doi:10.1145/3769102.3774249","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3769102.3774249","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3769102.3774249","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth ACM/IEEE Symposium on Edge Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3769102.3774249","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089149332","display_name":"Arpan Bhattacharjee","orcid":"https://orcid.org/0009-0003-7965-3820"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Arpan Bhattacharjee","raw_affiliation_strings":["Computer and Information Sciences, University of Delaware, Newark, DE, USA"],"affiliations":[{"raw_affiliation_string":"Computer and Information Sciences, University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052033089","display_name":"Matthew Saponaro","orcid":"https://orcid.org/0009-0000-7778-0402"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Saponaro","raw_affiliation_strings":["Computer and Information Sciences, University of Delaware, Newark, DE, USA"],"affiliations":[{"raw_affiliation_string":"Computer and Information Sciences, University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100651611","display_name":"Weisong Shi","orcid":"https://orcid.org/0000-0001-5864-4675"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weisong Shi","raw_affiliation_strings":["Computer and Information Sciences, University of Delaware, Newark, DE, USA"],"affiliations":[{"raw_affiliation_string":"Computer and Information Sciences, University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089149332"],"corresponding_institution_ids":["https://openalex.org/I86501945"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.50547768,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.4814999997615814,"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/T11133","display_name":"UAV Applications and Optimization","score":0.4814999997615814,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.14319999516010284,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.1046999990940094,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.4763999879360199},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4244000017642975},{"id":"https://openalex.org/keywords/homography","display_name":"Homography","score":0.3971000015735626},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.3953999876976013},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.3953000009059906},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.39410001039505005},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.3799000084400177},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.3472999930381775},{"id":"https://openalex.org/keywords/orthophoto","display_name":"Orthophoto","score":0.3424000144004822},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.33550000190734863}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5892999768257141},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.4763999879360199},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4244000017642975},{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.3971000015735626},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.3953999876976013},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.3953000009059906},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.39410001039505005},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.3799000084400177},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35850000381469727},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34880000352859497},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.3472999930381775},{"id":"https://openalex.org/C82789328","wikidata":"https://www.wikidata.org/wiki/Q922585","display_name":"Orthophoto","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34060001373291016},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.33550000190734863},{"id":"https://openalex.org/C145804949","wikidata":"https://www.wikidata.org/wiki/Q478123","display_name":"Situation awareness","level":2,"score":0.32420000433921814},{"id":"https://openalex.org/C117455697","wikidata":"https://www.wikidata.org/wiki/Q190149","display_name":"Photogrammetry","level":2,"score":0.32249999046325684},{"id":"https://openalex.org/C110269972","wikidata":"https://www.wikidata.org/wiki/Q184872","display_name":"Recreation","level":2,"score":0.3222000002861023},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.31929999589920044},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.31850001215934753},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.30640000104904175},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.3050000071525574},{"id":"https://openalex.org/C135981907","wikidata":"https://www.wikidata.org/wiki/Q188056","display_name":"Triangulation","level":2,"score":0.30329999327659607},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C2781351190","wikidata":"https://www.wikidata.org/wiki/Q3772377","display_name":"Multirotor","level":2,"score":0.2865000069141388},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.2799000144004822},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2671000063419342},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2648000121116638},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2529999911785126},{"id":"https://openalex.org/C2779705975","wikidata":"https://www.wikidata.org/wiki/Q62927","display_name":"Digital camera","level":2,"score":0.25290000438690186},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.25200000405311584},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.251800000667572},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.2515000104904175},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3769102.3774249","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3769102.3774249","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3769102.3774249","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth ACM/IEEE Symposium on Edge Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3769102.3774249","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3769102.3774249","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3769102.3774249","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth ACM/IEEE Symposium on Edge Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416956306.pdf","grobid_xml":"https://content.openalex.org/works/W4416956306.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W2122751788","https://openalex.org/W2171323474","https://openalex.org/W2805382151","https://openalex.org/W2946899359","https://openalex.org/W2947745582","https://openalex.org/W2963428237","https://openalex.org/W2972023696","https://openalex.org/W3011835849","https://openalex.org/W3017312426","https://openalex.org/W3139126354","https://openalex.org/W3158288482","https://openalex.org/W4296449840","https://openalex.org/W4306160390","https://openalex.org/W4383957453","https://openalex.org/W4393005507","https://openalex.org/W4406745062"],"related_works":[],"abstract_inverted_index":{"We":[0,208],"introduce":[1],"a":[2,57,108,125,130],"drone-centric":[3],"workflow":[4],"that":[5,192,210],"complements":[6],"fixed":[7,81,222],"trail":[8,20],"cameras":[9,66,82,223],"to":[10,67,83,100,104,187],"deliver":[11],"objective,":[12],"standardized,":[13],"and":[14,19,28,36,38,64,74,78,90,107,118,140,149,170,184,203,235],"scalable":[15],"assessments":[16],"of":[17,136,165,238],"park":[18],"infrastructure.":[21],"Traditional":[22],"human":[23],"audits,":[24],"such":[25],"as":[26],"PARA":[27],"the":[29,40,166,213],"Boston":[30],"Block":[31],"Walk,":[32],"are":[33,212],"labor":[34],"intensive":[35],"subjective":[37],"lack":[39],"corridor":[41],"scale":[42],"perspective":[43],"needed":[44],"for":[45,181,216,226],"comprehensive":[46],"maintenance":[47],"planning.":[48],"Our":[49],"system":[50],"addresses":[51],"this":[52],"gap":[53],"by":[54,200],"using":[55],"(i)":[56],"multirotor":[58],"UAV":[59],"equipped":[60],"with":[61,160],"synchronized":[62],"thermal":[63,109],"RGB":[65,110],"document":[68],"surface":[69],"conditions":[70],"over":[71],"vast":[72],"areas":[73],"quantify":[75],"defect":[76],"dimensions,":[77],"(ii)":[79],"low-cost":[80],"continuously":[84],"monitor":[85],"user":[86],"counts,":[87],"activity":[88],"types,":[89],"intensity":[91],"(MET)":[92],"values.":[93],"Drone":[94],"imagery":[95],"is":[96],"calibrated":[97],"via":[98],"homography":[99],"convert":[101],"pixel":[102],"measurements":[103],"real-world":[105],"units,":[106],"data":[111],"fusion":[112],"pipeline":[113],"detects":[114],"cracks,":[115],"moisture-softened":[116],"patches,":[117],"other":[119],"defects.":[120],"A":[121],"case":[122],"study":[123],"on":[124],"community":[126],"tennis":[127],"court":[128],"demonstrated":[129],"mean":[131],"absolute":[132],"percentage":[133],"error":[134],"(MAPE)":[135],"11.6%":[137],"between":[138],"drone-estimated":[139],"tape-measured":[141],"crack":[142],"lengths.":[143],"Along":[144],"Delaware's":[145],"Jack":[146],"A.":[147],"Markell":[148],"James":[150],"F.":[151],"Hall":[152],"trails,":[153],"camera-based":[154],"usage":[155],"analytics":[156],"revealed":[157],"patterns":[158],"consistent":[159],"intercept":[161],"surveys:":[162],"\u2248":[163,171],"20%":[164],"users":[167],"were":[168],"cyclists":[169],"98%":[172],"engaged":[173],"in":[174],"recreational":[175],"activities,":[176],"while":[177,221],"estimating":[178],"speed-derived":[179],"METs":[180],"walkers,":[182],"runners,":[183],"cyclists.":[185],"Compared":[186],"an":[188],"11-mile":[189],"manual":[190],"audit":[191],"required":[193],"26":[194],"raters,":[195],"our":[196],"approach":[197],"reduced":[198],"costs":[199],"approximately":[201],"$4,000":[202],"produced":[204],"reusable":[205],"digital":[206],"evidence.":[207],"conclude":[209],"drones":[211],"necessary":[214],"backbone":[215],"corridor-scale,":[217],"time-bounded":[218],"condition":[219],"assessments,":[220],"remain":[224],"essential":[225],"long-term":[227],"use":[228],"monitoring;":[229],"together,":[230],"they":[231],"enable":[232],"auditable,":[233],"repeatable,":[234],"cost-effective":[236],"management":[237],"urban":[239],"greenspace.":[240]},"counts_by_year":[],"updated_date":"2026-03-13T14:20:09.374765","created_date":"2025-12-03T00:00:00"}
