Vision-based Vehicle Speed Estimation Using the YOLO Detector and RNN-Reference-Cited by-同舟云学术

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Vision-based Vehicle Speed Estimation Using the YOLO Detector and RNN

Published:2023-02-15 Issue: Volume: Page:
ISSN:
Container-title:2023 27th International Conference on Information Technology (IT)
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Author:

Peruničić Andrija¹,Djukanović Slobodan¹,Cvijetić Andrej¹

Affiliation:

1. University of Montenegro,Faculty of Electrical Engineering,Podgorica,Montenegro

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10078412/10078439/10078639.pdf?arnumber=10078639

Reference12 articles.

1. A comparative study of yolov5 models performance for image localization and classification;horvat;Central European Conference on Information and Intelligent Systems,2022

2. YOLOv5 by Ultralytics;jocher,2020

3. Mel-spectrogram features for acoustic vehicle detection and speed estimation;bulatovi?;2022 26th International Conference on Information Technology (IT),2022

4. Recent advances in recurrent neural networks;salehinejad,2017

5. A dataset for audio-video based vehicle speed estimation

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Real-Time Speed Estimation on Indian Vehicles using Deep Learning and Computer Vision;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18

2. Video-Based Vehicle Speed Estimation Using Speed Measurement Metrics;IEEE Access;2024

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