Deep learning-based vehicle speed estimation using the YOLO detector and 1D-CNN-Reference-Cited by-同舟云学术

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Deep learning-based vehicle speed estimation using the YOLO detector and 1D-CNN

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

Cvijetić Andrej¹,Djukanović Slobodan¹,Peruničić Andrija¹

Affiliation:

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10078412/10078439/10078518.pdf?arnumber=10078518

Reference14 articles.

1. An approach to improving sound-based vehicle speed estimation

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

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

4. Neural Architecture Search for 1D CNNs—Different Approaches Tests and Measurements

5. A survey of the recent architectures of deep convolutional neural networks

Cited by 3 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. LV-YOLO: logistic vehicle speed detection and counting using deep learning based YOLO network;Signal, Image and Video Processing;2024-07-13

2. Enhancing Road Safety: Machine Learning-Driven Vehicle Speed Monitoring and Alerting in VANET Environments-A Review;Journal of Ubiquitous Computing and Communication Technologies;2024-03

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

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