Enhancing Intelligent Road Target Monitoring: A Novel BGS-YOLO Approach Based on the YOLOv8 Algorithm-Reference-Cited by-同舟云学术

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Enhancing Intelligent Road Target Monitoring: A Novel BGS-YOLO Approach Based on the YOLOv8 Algorithm

Published:2024 Issue: Volume:5 Page:509-519
ISSN:2687-7813
Container-title:IEEE Open Journal of Intelligent Transportation Systems
language:
Short-container-title:IEEE Open J. Intell. Transp. Syst.

Author:

Liu Xingyu¹^ORCID,Chu Yuanfeng²^ORCID,Hu Yiheng¹,Zhao Nan³^ORCID

Affiliation:

1. School of Computing and Engineering, University of Huddersfield, Huddersfield, U.K.

2. Li Auto Inc., Beijing, China

3. School of Electrical and Electronic Engineering, University College Dublin, Dublin, Ireland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/8784355/10382186/10646366.pdf?arnumber=10646366

Reference39 articles.

1. Reliable Road Scene Interpretation Based on ITOM with the Integrated Fusion of Vehicle and Lane Tracker in Dense Traffic Situation

2. A CFAR Algorithm Based on Monte Carlo Method for Millimeter-Wave Radar Road Traffic Target Detection

3. Vision-Based Target Detection and Positioning Approach for Underwater Robots

4. Improved SSD Model for Pedestrian Detection in Natural Scene

5. Road traffic accident scene detection and mapping system based on aerial photography;Wang;Int. J. Crashworthiness,2021

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