Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/42579| Title: | Object Detection in Autonomous Vehicles under Adverse Weather: A Review of Traditional and Deep Learning Approaches | Authors: | Tahir, Noor Ul Ain Zhang, Zuping Asim, Muhammad CHEN, Junhong ELAffendi, Mohammed |
Issue Date: | 2024 | Publisher: | MDPI | Source: | Algorithms, 17 (3) (Art N° 103) | Notes: | Zhang, 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. 214718021@csu.edu.cn; zpzhang@csu.edu.cn; asimpk@gdut.edu.cn; junhong.chen@uhasselt.be; affendi@psu.edu.sa |
Other: | A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications". | Keywords: | intelligent transportation system;autonomous vehicles;object detection;deep learning;traditional approaches | Document URI: | http://hdl.handle.net/1942/42579 | e-ISSN: | 1999-4893 | DOI: | 10.3390/a17030103 | ISI #: | 001191814000001 | Rights: | 2024 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/). | Category: | A1 | Type: | Journal Contribution |
| Appears in Collections: | Research publications |
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|---|---|---|---|---|
| algorithms-17-00103-v2.pdf | Published version | 803.99 kB | Adobe PDF | View/Open |
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