Object Detection in Autonomous Vehicles under Adverse Weather: A Review of Traditional and Deep Learning Approaches

Object Detection in Autonomous Vehicles under Adverse Weather: A Review of Traditional and Deep Learning Approaches

Enhancing the environmental perception of autonomous vehicles (AVs) in intelligent transportation systems requires computer vision technology to be effective in detecting objects and obstacles, particularly in adverse weather conditions. Adverse weather circumstances present serious difficulties for...

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Bibliographic Details
Main Authors: Noor Ul Ain Tahir, Zuping Zhang, Muhammad Asim, Junhong Chen, Mohammed ELAffendi
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Algorithms
Subjects:
intelligent transportation system
autonomous vehicles
object detection
deep learning
traditional approaches
Online Access:https://www.mdpi.com/1999-4893/17/3/103

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https://www.mdpi.com/1999-4893/17/3/103

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