A Nighttime Vehicle Detection Method Based on YOLO v8-Reference-Cited by-同舟云学术

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A Nighttime Vehicle Detection Method Based on YOLO v8

Published:2023-10-13 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Unmanned Systems (ICUS)
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Author:

An Weichuan¹,Ruan Jiageng¹,Li Tongyang¹,Xia Jing¹

Affiliation:

1. Beijing University Of Technology,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10318219/10318220/10318511.pdf?arnumber=10318511

Reference13 articles.

1. BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

2. Ultralytics YOLOv8;Ultralytics,0

3. Combining Region-of-Interest Extraction and Image Enhancement for Nighttime Vehicle Detection

4. Feature Enhancement Based on CycleGAN for Nighttime Vehicle Detection

5. Real Time Vehicle Detection and Colour Recognition using tuned Features of Faster-RCNN

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1. Surgical Tool Detection in Open Surgery Based on Faster R-CNN, YOLO v5 and YOLOv8;2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC);2024-03-15

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