{"id":"https://openalex.org/W2576516503","doi":"https://doi.org/10.1109/icra.2017.7989616","title":"3D tracking of water hazards with polarized stereo cameras","display_name":"3D tracking of water hazards with polarized stereo cameras","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2576516503","doi":"https://doi.org/10.1109/icra.2017.7989616","mag":"2576516503"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2017.7989616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2017.7989616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Robotics and Automation (ICRA)","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/A5046133873","display_name":"Chuong Nguyen","orcid":"https://orcid.org/0000-0002-3167-3422"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I4210127558","display_name":"Australian Centre for Robotic Vision","ror":"https://ror.org/02zv9xv82","country_code":"AU","type":"facility","lineage":["https://openalex.org/I4210127558"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chuong V. Nguyen","raw_affiliation_strings":["The Australian Centre for Robotic Vision, Research School of Engineering Australian National University, Canberra, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Australian Centre for Robotic Vision, Research School of Engineering Australian National University, Canberra, Australia","institution_ids":["https://openalex.org/I4210127558","https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078340555","display_name":"Michael Milford","orcid":"https://orcid.org/0000-0002-5162-1793"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]},{"id":"https://openalex.org/I4210127558","display_name":"Australian Centre for Robotic Vision","ror":"https://ror.org/02zv9xv82","country_code":"AU","type":"facility","lineage":["https://openalex.org/I4210127558"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Michael Milford","raw_affiliation_strings":["Australian Centre for Robotic Vision, Queensland University of Technology, Brisbane, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Australian Centre for Robotic Vision, Queensland University of Technology, Brisbane, Australia","institution_ids":["https://openalex.org/I4210127558","https://openalex.org/I160993911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011097720","display_name":"Robert Mahony","orcid":"https://orcid.org/0000-0002-7803-2868"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I4210127558","display_name":"Australian Centre for Robotic Vision","ror":"https://ror.org/02zv9xv82","country_code":"AU","type":"facility","lineage":["https://openalex.org/I4210127558"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Robert Mahony","raw_affiliation_strings":["The Australian Centre for Robotic Vision, Research School of Engineering Australian National University, Canberra, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Australian Centre for Robotic Vision, Research School of Engineering Australian National University, Canberra, Australia","institution_ids":["https://openalex.org/I4210127558","https://openalex.org/I118347636"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8313,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.81925676,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"73","issue":null,"first_page":"5251","last_page":"5257"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9976999759674072,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9973999857902527,"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-vision","display_name":"Computer vision","score":0.6675114035606384},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6331586837768555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6052272319793701},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5966658592224121},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.35114961862564087},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.33074283599853516},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.20432668924331665}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6675114035606384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6331586837768555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6052272319793701},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5966658592224121},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.35114961862564087},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33074283599853516},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.20432668924331665},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icra.2017.7989616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2017.7989616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/231008","is_oa":false,"landing_page_url":"http://hdl.handle.net/1885/231008","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings - IEEE International Conference on Robotics and Automation","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","score":0.7200000286102295,"display_name":"Clean water and sanitation"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1976210326","https://openalex.org/W2036560722","https://openalex.org/W2046467093","https://openalex.org/W2112938974","https://openalex.org/W2117248802","https://openalex.org/W2130397466","https://openalex.org/W2137017911","https://openalex.org/W2155571491","https://openalex.org/W2244190727","https://openalex.org/W2298369357","https://openalex.org/W2590069064","https://openalex.org/W4239656892","https://openalex.org/W6682798687","https://openalex.org/W6690336856","https://openalex.org/W6733876832"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W2772917594","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747"],"abstract_inverted_index":{"Current":[0],"self-driving":[1],"car":[2,159,198],"systems":[3],"operate":[4],"well":[5],"in":[6,11,41,70,136,200],"sunny":[7],"weather":[8],"but":[9],"struggle":[10],"adverse":[12,20],"conditions.":[13],"One":[14],"of":[15,55,72,97,102,105,112,134,157],"the":[16,25,103,145,167],"most":[17],"commonly":[18],"encountered":[19],"conditions":[21,141,162,203],"involves":[22],"water":[23,51,89,149,161,175],"on":[24,92,127],"road":[26],"caused":[27],"by":[28],"rain,":[29],"sleet,":[30],"melting":[31],"snow":[32],"or":[33],"flooding.":[34],"While":[35],"some":[36],"advances":[37],"have":[38],"been":[39],"made":[40],"using":[42,163,204],"conventional":[43],"RGB":[44],"camera":[45],"and":[46,63,74,87,94,114,139,142,151,188],"LIDAR":[47],"technology":[48],"for":[49,85,144,193],"detecting":[50,86],"hazards,":[52],"other":[53],"sources":[54],"information":[56],"such":[57],"as":[58,110,166],"polarization":[59,93,205],"offer":[60],"a":[61,81,123,154],"promising":[62],"potentially":[64],"superior":[65],"approach":[66],"to":[67,178],"this":[68,77,119],"problem":[69],"terms":[71],"performance":[73],"cost.":[75],"In":[76],"paper,":[78],"we":[79,121,183],"present":[80,122],"novel":[82],"stereo-polarization":[83],"system":[84,172],"tracking":[88,152],"hazards":[90,176],"based":[91],"color":[95],"variation":[96],"reflected":[98],"light,":[99],"with":[100],"consideration":[101],"effect":[104],"polarized":[106,164],"light":[107],"from":[108],"sky":[109],"function":[111],"reflection":[113],"azimuth":[115],"angles.":[116],"To":[117],"evaluate":[118],"system,":[120],"new":[124],"large":[125],"`water":[126],"road'":[128],"datasets":[129],"spanning":[130],"approximately":[131],"2":[132],"km":[133],"driving":[135,160],"various":[137],"on-road":[138],"off-road":[140],"demonstrate":[143],"first":[146],"time":[147],"reliable":[148],"detection":[150],"over":[153],"wide":[155],"range":[156],"realistic":[158],"vision":[165],"primary":[168],"sensing":[169],"modality.":[170],"Our":[171],"successfully":[173],"detects":[174],"up":[177],"more":[179],"than":[180],"100m.":[181],"Finally,":[182],"discuss":[184],"several":[185],"interesting":[186],"challenges":[187],"propose":[189],"future":[190],"research":[191],"directions":[192],"further":[194],"improving":[195],"robust":[196],"autonomous":[197],"perception":[199],"hazardous":[201],"wet":[202],"sensors.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}