{"id":"https://openalex.org/W4416249933","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228564","title":"Drone-UP: Drone-based Unauthorized Parking Detection Method for Edge-devices","display_name":"Drone-UP: Drone-based Unauthorized Parking Detection Method for Edge-devices","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416249933","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228564"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5045712099","display_name":"Taruna Saini","orcid":"https://orcid.org/0000-0002-1327-9835"},"institutions":[{"id":"https://openalex.org/I9579091","display_name":"Indian Institute of Technology Mandi","ror":"https://ror.org/05r9r2f34","country_code":"IN","type":"education","lineage":["https://openalex.org/I9579091"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Tarun Saini","raw_affiliation_strings":["Indian Institute of Technology,Visual Intelligence and Machine Learning (VIML) Group School of Computing and Electrical Engineering,Mandi,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Visual Intelligence and Machine Learning (VIML) Group School of Computing and Electrical Engineering,Mandi,India","institution_ids":["https://openalex.org/I9579091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008864915","display_name":"Madhumita Guha","orcid":"https://orcid.org/0000-0002-6722-4530"},"institutions":[{"id":"https://openalex.org/I9579091","display_name":"Indian Institute of Technology Mandi","ror":"https://ror.org/05r9r2f34","country_code":"IN","type":"education","lineage":["https://openalex.org/I9579091"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Madhumita Guha","raw_affiliation_strings":["Indian Institute of Technology,Visual Intelligence and Machine Learning (VIML) Group School of Computing and Electrical Engineering,Mandi,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Visual Intelligence and Machine Learning (VIML) Group School of Computing and Electrical Engineering,Mandi,India","institution_ids":["https://openalex.org/I9579091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117236122","display_name":"Sachin Kumar Bairwa","orcid":null},"institutions":[{"id":"https://openalex.org/I9579091","display_name":"Indian Institute of Technology Mandi","ror":"https://ror.org/05r9r2f34","country_code":"IN","type":"education","lineage":["https://openalex.org/I9579091"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sachin Kumar Bairwa","raw_affiliation_strings":["Indian Institute of Technology,Visual Intelligence and Machine Learning (VIML) Group School of Computing and Electrical Engineering,Mandi,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Visual Intelligence and Machine Learning (VIML) Group School of Computing and Electrical Engineering,Mandi,India","institution_ids":["https://openalex.org/I9579091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010689942","display_name":"Varun Dutt","orcid":"https://orcid.org/0000-0002-2151-8314"},"institutions":[{"id":"https://openalex.org/I9579091","display_name":"Indian Institute of Technology Mandi","ror":"https://ror.org/05r9r2f34","country_code":"IN","type":"education","lineage":["https://openalex.org/I9579091"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vandita Dutt","raw_affiliation_strings":["Indian Institute of Technology,Visual Intelligence and Machine Learning (VIML) Group School of Computing and Electrical Engineering,Mandi,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Visual Intelligence and Machine Learning (VIML) Group School of Computing and Electrical Engineering,Mandi,India","institution_ids":["https://openalex.org/I9579091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101580806","display_name":"Kajal Singh","orcid":"https://orcid.org/0009-0001-2274-8664"},"institutions":[{"id":"https://openalex.org/I9579091","display_name":"Indian Institute of Technology Mandi","ror":"https://ror.org/05r9r2f34","country_code":"IN","type":"education","lineage":["https://openalex.org/I9579091"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kajal Singh","raw_affiliation_strings":["Indian Institute of Technology,Visual Intelligence and Machine Learning (VIML) Group School of Computing and Electrical Engineering,Mandi,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Visual Intelligence and Machine Learning (VIML) Group School of Computing and Electrical Engineering,Mandi,India","institution_ids":["https://openalex.org/I9579091"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103852822","display_name":"Dinesh Singh","orcid":null},"institutions":[{"id":"https://openalex.org/I9579091","display_name":"Indian Institute of Technology Mandi","ror":"https://ror.org/05r9r2f34","country_code":"IN","type":"education","lineage":["https://openalex.org/I9579091"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dinesh Singh","raw_affiliation_strings":["Indian Institute of Technology,Visual Intelligence and Machine Learning (VIML) Group School of Computing and Electrical Engineering,Mandi,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Visual Intelligence and Machine Learning (VIML) Group School of Computing and Electrical Engineering,Mandi,India","institution_ids":["https://openalex.org/I9579091"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5045712099"],"corresponding_institution_ids":["https://openalex.org/I9579091"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39077116,"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":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12546","display_name":"Smart Parking Systems Research","score":0.45969998836517334,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T12546","display_name":"Smart Parking Systems Research","score":0.45969998836517334,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.16529999673366547,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.1177000030875206,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.7612000107765198},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6187999844551086},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5802000164985657},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5436000227928162},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4814000129699707},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.47269999980926514},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4636000096797943},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.46129998564720154},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4424999952316284}],"concepts":[{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.7612000107765198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7196999788284302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6367999911308289},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6229000091552734},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6187999844551086},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5802000164985657},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5436000227928162},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4814000129699707},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.47269999980926514},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4636000096797943},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.46129998564720154},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4424999952316284},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4311999976634979},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.38119998574256897},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.3327000141143799},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3325999975204468},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.33079999685287476},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3199999928474426},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.31929999589920044},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3095000088214874},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.26899999380111694},{"id":"https://openalex.org/C84119951","wikidata":"https://www.wikidata.org/wiki/Q3498530","display_name":"Vehicle tracking system","level":3,"score":0.2676999866962433},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.2621999979019165},{"id":"https://openalex.org/C2777427512","wikidata":"https://www.wikidata.org/wiki/Q6501349","display_name":"Parking lot","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.257099986076355}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1974318954","https://openalex.org/W1976159359","https://openalex.org/W2545379858","https://openalex.org/W2549635795","https://openalex.org/W2583822444","https://openalex.org/W2735707103","https://openalex.org/W2774320778","https://openalex.org/W2806282362","https://openalex.org/W2808453126","https://openalex.org/W2893801697","https://openalex.org/W2896642734","https://openalex.org/W2900327972","https://openalex.org/W3114145277","https://openalex.org/W3118240751","https://openalex.org/W4220790466","https://openalex.org/W4289792659","https://openalex.org/W4319990398","https://openalex.org/W4362703401","https://openalex.org/W4385488935","https://openalex.org/W4392309216"],"related_works":[],"abstract_inverted_index":{"In":[0,78],"this":[1],"paper,":[2],"we":[3,106,131],"present":[4],"Drone-UP,":[5],"a":[6,133],"framework":[7,30],"for":[8,22,70],"the":[9,23,46,52,57,62,66,71,79,84,87,96,103,118,121,155],"automatic":[10],"detection":[11,125],"of":[12,32,45,73,120,136,157],"unauthorized":[13,36,54,88,171],"parked":[14],"vehicles":[15,85],"using":[16,65],"drone-based":[17],"surveillance":[18],"videos":[19],"in":[20,56,86,169],"real-time":[21,100,176],"resource-constrained":[24],"on-board":[25],"edge":[26,104,179],"devices.":[27,180],"The":[28,43],"proposed":[29],"consists":[31],"two":[33],"stages,":[34],"namely,":[35],"region":[37,55],"identification":[38],"and":[39,90,110,123,144,162],"vehicle":[40],"speed":[41,93,116,163],"estimation.":[42],"goal":[44],"first":[47],"stage":[48],"is":[49],"to":[50,94,115],"identify":[51],"potential":[53],"live":[58],"video":[59,138],"stream":[60],"from":[61],"drone":[63,137],"camera":[64],"YOLO-seg-based":[67],"method":[68],"fine-tuned":[69],"segmentation":[72,122],"roads":[74],"with":[75,139,147],"side":[76],"walks.":[77],"second":[80],"stage,":[81],"it":[82],"tracks":[83],"area":[89],"estimates":[91],"their":[92],"determine":[95],"violators.":[97],"To":[98,127],"meet":[99],"performance":[101,168],"on":[102,178],"devices,":[105],"used":[107],"post-training":[108],"quantization":[109],"low":[111],"bit":[112],"representation":[113],"techniques":[114],"up":[117],"inference":[119],"object":[124],"models.":[126],"evaluate":[128],"our":[129,158],"method,":[130],"collected":[132],"benchmark":[134],"dataset":[135],"varying":[140],"traffic":[141],"conditions,":[142],"height,":[143],"angles,":[145],"captured":[146],"different":[148],"cameras.":[149],"Our":[150],"experimental":[151],"results":[152],"demonstrate":[153],"that":[154],"integration":[156],"optimized":[159],"segmentation,":[160],"detection,":[161],"estimation":[164],"modules":[165],"achieves":[166],"robust":[167],"identifying":[170],"parking":[172],"violations":[173],"while":[174],"maintaining":[175],"efficiency":[177]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}
