TTD-YOLO: A Real-Time Traffic Target Detection Algorithm Based on YOLOV5-Reference-Cited by-同舟云学术

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TTD-YOLO: A Real-Time Traffic Target Detection Algorithm Based on YOLOV5

Published:2024 Issue: Volume:12 Page:66419-66431
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Xia Wenjun¹^ORCID,Li Peiqing¹,Huang Heyu²,Li Qipeng¹,Yang Taiping¹,Li Zhuoran³

Affiliation:

1. School of Mechanical and Energy Engineering, Zhejiang University of Science and Technology, Hangzhou, China

2. China Industrial Research Institute, Zhejiang University of Finance & Economics, Hangzhou, China

3. Faculty of Information Technology, City University Malaysia, Petaling Jaya, Malaysia

Funder

Zhejiang Lingyan Project

Natural Science Foundation of Zhejiang Province

Key Project of Zhejiang University of Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10509695.pdf?arnumber=10509695

Reference38 articles.

1. Self-drivingr cas: A survey;Badue;Expert Syst. Appl.,2021

2. Real-time detection network for tiny traffic sign using multi-scale attention module

3. Contrast Limited Adaptive Histogram Equalization for Recognizing Road Marking at Night Based on Yolo Models

4. Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art

5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

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