YOLO-LSD: A Lightweight Object Detection Model for Small Targets at Long Distances to Secure Pedestrian Safety

YOLO-LSD: A Lightweight Object Detection Model for Small Targets at Long Distances to Secure Pedestrian Safety

Ensuring the safety of children, the elderly, and individuals with disabilities remains a significant challenge in modern transportation environments, particularly in urban areas with mixed traffic comprising both vehicles and pedestrians. Real-time detection of long-distance and small-scale objects...

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Bibliographic Details
Main Authors: Ming-An Chung, Sung-Yun Chai, Ming-Chun Hsieh, Chia-Wei Lin, Kai-Xiang Chen, Shang-Jui Huang, Jun-Hao Zhang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Attention mechanism
lightweight
YOLO
small object detection
feature extraction
convolutional neural networks
Online Access:https://ieeexplore.ieee.org/document/10990045/
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https://ieeexplore.ieee.org/document/10990045/

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