{"id":"https://openalex.org/W4405785221","doi":"https://doi.org/10.1109/iros58592.2024.10801990","title":"PathFinder: Attention-Driven Dynamic Non-Line-of-Sight Tracking with a Mobile Robot","display_name":"PathFinder: Attention-Driven Dynamic Non-Line-of-Sight Tracking with a Mobile Robot","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4405785221","doi":"https://doi.org/10.1109/iros58592.2024.10801990"},"language":"en","primary_location":{"id":"doi:10.1109/iros58592.2024.10801990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10801990","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5058445008","display_name":"Shenbagaraj Kannapiran","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shenbagaraj Kannapiran","raw_affiliation_strings":["Arizona State University,School for Engineering of Matter, Transport and Energy,Tempe,AZ,USA,85287"],"affiliations":[{"raw_affiliation_string":"Arizona State University,School for Engineering of Matter, Transport and Energy,Tempe,AZ,USA,85287","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050504151","display_name":"Sreenithy Chandran","orcid":"https://orcid.org/0000-0001-7131-5307"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sreenithy Chandran","raw_affiliation_strings":["Arizona State University,School of Electrical, Computer and Energy Engineering,Tempe,AZ,USA,85281"],"affiliations":[{"raw_affiliation_string":"Arizona State University,School of Electrical, Computer and Energy Engineering,Tempe,AZ,USA,85281","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043608888","display_name":"Suren Jayasuriya","orcid":"https://orcid.org/0000-0001-7143-4429"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suren Jayasuriya","raw_affiliation_strings":["Arizona State University,School of Electrical, Computer and Energy Engineering,Tempe,AZ,USA,85281"],"affiliations":[{"raw_affiliation_string":"Arizona State University,School of Electrical, Computer and Energy Engineering,Tempe,AZ,USA,85281","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076142872","display_name":"Spring Berman","orcid":"https://orcid.org/0000-0001-9239-0509"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Spring Berman","raw_affiliation_strings":["Arizona State University,School for Engineering of Matter, Transport and Energy,Tempe,AZ,USA,85287"],"affiliations":[{"raw_affiliation_string":"Arizona State University,School for Engineering of Matter, Transport and Energy,Tempe,AZ,USA,85287","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058445008"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24719821,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"12880","last_page":"12887"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9732000231742859,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9049000144004822,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pathfinder","display_name":"Pathfinder","score":0.9359816312789917},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.738518238067627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7279505133628845},{"id":"https://openalex.org/keywords/non-line-of-sight-propagation","display_name":"Non-line-of-sight propagation","score":0.7105610370635986},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5235145688056946},{"id":"https://openalex.org/keywords/sight","display_name":"Sight","score":0.5099214315414429},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4525153636932373},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4391840100288391},{"id":"https://openalex.org/keywords/line-of-sight","display_name":"Line-of-sight","score":0.4163636863231659},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41492339968681335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40992581844329834},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1464439034461975},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.13094377517700195},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12133064866065979},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.11442184448242188},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.0630003809928894}],"concepts":[{"id":"https://openalex.org/C2778940482","wikidata":"https://www.wikidata.org/wiki/Q7144753","display_name":"Pathfinder","level":2,"score":0.9359816312789917},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.738518238067627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7279505133628845},{"id":"https://openalex.org/C154910267","wikidata":"https://www.wikidata.org/wiki/Q1740982","display_name":"Non-line-of-sight propagation","level":3,"score":0.7105610370635986},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5235145688056946},{"id":"https://openalex.org/C1517167","wikidata":"https://www.wikidata.org/wiki/Q1134322","display_name":"Sight","level":2,"score":0.5099214315414429},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4525153636932373},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4391840100288391},{"id":"https://openalex.org/C2780928442","wikidata":"https://www.wikidata.org/wiki/Q6553027","display_name":"Line-of-sight","level":2,"score":0.4163636863231659},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41492339968681335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40992581844329834},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1464439034461975},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.13094377517700195},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12133064866065979},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.11442184448242188},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0630003809928894},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros58592.2024.10801990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10801990","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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":38,"referenced_works":["https://openalex.org/W1537106439","https://openalex.org/W2086736092","https://openalex.org/W2112858385","https://openalex.org/W2164693610","https://openalex.org/W2200308833","https://openalex.org/W2418849765","https://openalex.org/W2626025212","https://openalex.org/W2755257996","https://openalex.org/W2777077087","https://openalex.org/W2793604749","https://openalex.org/W2798602665","https://openalex.org/W2859114795","https://openalex.org/W2949724557","https://openalex.org/W2959851426","https://openalex.org/W2962987986","https://openalex.org/W2964608097","https://openalex.org/W2980046615","https://openalex.org/W2994788716","https://openalex.org/W3096609285","https://openalex.org/W3103730686","https://openalex.org/W3106536704","https://openalex.org/W3134999436","https://openalex.org/W3157719322","https://openalex.org/W3215740530","https://openalex.org/W4200614855","https://openalex.org/W4214730249","https://openalex.org/W4224251832","https://openalex.org/W4297097666","https://openalex.org/W4386076356","https://openalex.org/W4390874575","https://openalex.org/W4394625718","https://openalex.org/W6755821031","https://openalex.org/W6763000157","https://openalex.org/W6767656035","https://openalex.org/W6769162870","https://openalex.org/W6784333009","https://openalex.org/W6802936351","https://openalex.org/W6854426773"],"related_works":["https://openalex.org/W2892385637","https://openalex.org/W4386212472","https://openalex.org/W2144201814","https://openalex.org/W2367993652","https://openalex.org/W2108958692","https://openalex.org/W3113234333","https://openalex.org/W2995826996","https://openalex.org/W2072419077","https://openalex.org/W2052253596","https://openalex.org/W2982685408"],"abstract_inverted_index":{"The":[0,148,205],"study":[1],"of":[2,35,104,129],"non-line-of-sight":[3],"(NLOS)":[4],"imaging":[5,26,39,200],"is":[6,96],"growing":[7],"due":[8],"to":[9,56,68,98,125,213],"its":[10],"many":[11],"potential":[12],"applications,":[13],"including":[14],"rescue":[15],"operations":[16],"and":[17,45,172,175,211],"pedestrian":[18],"detection":[19],"by":[20],"self-driving":[21],"cars.":[22],"However,":[23],"implementing":[24],"NLOS":[25,38,69,181,199],"on":[27,42,82,187],"a":[28,65,77,83,105,110,122,127,134,152,160,191],"moving":[29,161],"camera":[30,80,162],"remains":[31],"an":[32,90,139],"open":[33],"area":[34],"research.":[36],"Existing":[37],"methods":[40],"rely":[41],"time-resolved":[43],"detectors":[44],"laser":[46],"configurations":[47],"that":[48,72,143,156,178,208],"require":[49],"precise":[50],"optical":[51],"alignment,":[52],"making":[53],"it":[54],"difficult":[55],"deploy":[57],"them":[58],"in":[59,109,133,146,201],"dynamic":[60,130,202],"environments.":[61,204],"This":[62],"work":[63],"proposes":[64],"data-driven":[66],"approach":[67,124,186],"imaging,":[70],"PathFinder,":[71],"can":[73,217],"be":[74,218],"used":[75,212],"with":[76],"standard":[78],"RGB":[79],"mounted":[81],"small,":[84],"power-constrained":[85],"mobile":[86],"robot,":[87],"such":[88,169],"as":[89,170],"aerial":[91],"drone.":[92],"Our":[93],"experimental":[94],"pipeline":[95],"designed":[97],"accurately":[99],"estimate":[100],"the":[101,117,185,215],"2D":[102],"trajectory":[103],"person":[106],"who":[107],"moves":[108],"Manhattan-world":[111],"environment":[112],"while":[113],"remaining":[114],"hidden":[115],"from":[116,159],"camera\u2019s":[118],"field-of-view.":[119],"We":[120,183],"introduce":[121],"novel":[123],"process":[126],"sequence":[128],"successive":[131],"frames":[132],"line-of-sight":[135],"(LOS)":[136],"video":[137,194],"using":[138,190],"attention-based":[140],"neural":[141],"network":[142,216],"performs":[144],"inference":[145],"real-time.":[147],"method":[149],"also":[150],"includes":[151],"preprocessing":[153],"selection":[154],"metric":[155],"analyzes":[157],"images":[158],"which":[163],"contain":[164],"multiple":[165],"vertical":[166],"planar":[167],"surfaces,":[168],"walls":[171],"building":[173],"facades,":[174],"extracts":[176],"planes":[177],"return":[179],"maximum":[180],"information.":[182],"validate":[184],"in-the-wild":[188],"scenes":[189],"drone":[192],"for":[193],"capture,":[195],"thus":[196],"demonstrating":[197],"low-cost":[198],"capture":[203],"real-world":[206],"dataset":[207],"we":[209],"collected":[210],"train":[214],"found":[219],"at":[220],"https://srchandr.github.io/DynamicNLOS/.":[221]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
