Research on Improvement of Environment Perception Algorithm for Autonomous Driving Vehicles Based on YOLOv5

Yang, Yuxi (2025) Research on Improvement of Environment Perception Algorithm for Autonomous Driving Vehicles Based on YOLOv5. In: Proceedings of the 2nd International Conference on Machine Learning and Automation, CONF-MLA 2024, November 21, 2024, Adana, Turkey.

[thumbnail of 71880.pdf] PDF
71880.pdf

Download (720kB)

Abstract

Autonomous driving relies heavily on vehicle object detection, and YOLOv5s is presently one of the best algorithms for this purpose. However, in extreme environments such as severe weather, cars have poor perception of the environment, and their ability to detect dynamic targets is greatly affected,

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 18:27
Last Modified: 16 Apr 2026 21:37
URI: http://eprints.eai.eu/id/eprint/52559

Actions (login required)

View Item
View Item