Research on Improved YOLOv7 for Traffic Obstacle Detection

Research on Improved YOLOv7 for Traffic Obstacle Detection

Object detection and recognition algorithms are widely used in applications such as real-time monitoring and autonomous driving. However, there is limited research on traffic obstacle detection in complex scenarios involving road construction and sudden accidents. This gap results in low accuracy an...

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Bibliographic Details
Main Authors: Yifan Yang, Song Cui, Xuan Xiang, Yuxing Bai, Liguo Zang, Hongshan Ding
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:World Electric Vehicle Journal
Subjects:
intelligent transportation
object detection
YOLOv7
traffic obstacles
attention mechanism
loss function
Online Access:https://www.mdpi.com/2032-6653/16/1/1
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