YOLO-Extreme: Obstacle Detection for Visually Impaired Navigation Under Foggy Weather

YOLO-Extreme: Obstacle Detection for Visually Impaired Navigation Under Foggy Weather

Visually impaired individuals face significant challenges in navigating safely and independently, particularly under adverse weather conditions such as fog. To address this issue, we propose YOLO-Extreme, an enhanced object detection framework based on YOLOv12, specifically designed for robust navig...

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Bibliographic Details
Main Authors: Wei Wang, Bin Jing, Xiaoru Yu, Wei Zhang, Shengyu Wang, Ziqi Tang, Liping Yang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
YOLO-Extreme
foggy environments
Dual-Branch Bottleneck Block
Multi-Dimensional Collaborative Attention Module
Channel-Selective Fusion Block
RTTS foggy dataset
Online Access:https://www.mdpi.com/1424-8220/25/14/4338
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https://www.mdpi.com/1424-8220/25/14/4338

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