Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/42579
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dc.contributor.authorTahir, Noor Ul Ain-
dc.contributor.authorZhang, Zuping-
dc.contributor.authorAsim, Muhammad-
dc.contributor.authorCHEN, Junhong-
dc.contributor.authorELAffendi, Mohammed-
dc.date.accessioned2024-03-11T11:27:31Z-
dc.date.available2024-03-11T11:27:31Z-
dc.date.issued2024-
dc.date.submitted2024-02-28T14:35:58Z-
dc.identifier.citationAlgorithms, 17 (3) (Art N° 103)-
dc.identifier.issn1999-4893-
dc.identifier.urihttp://hdl.handle.net/1942/42579-
dc.description.sponsorshipThis work was supported by EIAS Data Science Lab, CCIS, Prince Sultan University and also by the Special Research Fund (BOF) of Hasselt University (No. BOF23DOCBL11), and Chen Junhong was sponsored by the China Scholarship Council (No. 202208440309). Acknowledgments The authors would like to thank Prince Sultan University for their support.-
dc.language.isoen-
dc.publisherMDPI-
dc.rights2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).-
dc.subject.otherintelligent transportation system-
dc.subject.otherautonomous vehicles-
dc.subject.otherobject detection-
dc.subject.otherdeep learning-
dc.subject.othertraditional approaches-
dc.titleObject Detection in Autonomous Vehicles under Adverse Weather: A Review of Traditional and Deep Learning Approaches-
dc.typeJournal Contribution-
dc.identifier.issue3-
dc.identifier.volume17-
local.bibliographicCitation.jcatA1-
dc.description.notesZhang, ZP (corresponding author), Cent South Univ, Sch Comp Sci & Engn, Changsha 410083, Peoples R China.; Asim, M (corresponding author), Prince Sultan Univ, Coll Comp & Informat Sci, EIAS Data Sci & Blockchain Lab, Riyadh 11586, Saudi Arabia.; Asim, M (corresponding author), Guangdong Univ Technol, Sch Comp Sci & Technol, Guangzhou 510006, Peoples R China.-
dc.description.notes214718021@csu.edu.cn; zpzhang@csu.edu.cn; asimpk@gdut.edu.cn;-
dc.description.notesjunhong.chen@uhasselt.be; affendi@psu.edu.sa-
local.publisher.placeST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND-
local.type.refereedRefereed-
local.type.specifiedReview-
local.bibliographicCitation.artnr103-
dc.identifier.doi10.3390/a17030103-
dc.identifier.isi001191814000001-
dc.description.otherA special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications".-
local.provider.typeCrossRef-
local.description.affiliation[Tahir, Noor Ul Ain; Zhang, Zuping] Cent South Univ, Sch Comp Sci & Engn, Changsha 410083, Peoples R China.-
local.description.affiliation[Asim, Muhammad; Elaffendi, Mohammed] Prince Sultan Univ, Coll Comp & Informat Sci, EIAS Data Sci & Blockchain Lab, Riyadh 11586, Saudi Arabia.-
local.description.affiliation[Asim, Muhammad; Chen, Junhong] Guangdong Univ Technol, Sch Comp Sci & Technol, Guangzhou 510006, Peoples R China.-
local.description.affiliation[Chen, Junhong] Hasselt Univ, Expertise Ctr Digital Media, Flanders Make, Hasselt, Belgium.-
local.uhasselt.internationalyes-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
item.fullcitationTahir, Noor Ul Ain; Zhang, Zuping; Asim, Muhammad; CHEN, Junhong & ELAffendi, Mohammed (2024) Object Detection in Autonomous Vehicles under Adverse Weather: A Review of Traditional and Deep Learning Approaches. In: Algorithms, 17 (3) (Art N° 103).-
item.contributorTahir, Noor Ul Ain-
item.contributorZhang, Zuping-
item.contributorAsim, Muhammad-
item.contributorCHEN, Junhong-
item.contributorELAffendi, Mohammed-
crisitem.journal.eissn1999-4893-
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