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 | Source: | Algorithms, 17 (3) , p. 103 (Art N° 103) | Other: | A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications". | Document URI: | http://hdl.handle.net/1942/42579 | e-ISSN: | 1999-4893 | DOI: | 10.3390/a17030103 | 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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
algorithms-17-00103-v2.pdf | Published version | 803.99 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.