YOLO-Based Vehicle Detection and Counting for Traffic Control on Highway-Reference-Cited by-同舟云学术

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YOLO-Based Vehicle Detection and Counting for Traffic Control on Highway

Published:2024-05-02 Issue: Volume:97 Page:167-171
ISSN:
Container-title:2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT)
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Author:

Gupta Meenu¹,Kumar Rakesh¹,Gupta Muskaan¹,Kumar Mohit¹,Obaid Ahmed J.²,Ved Chetanya³

Affiliation:

1. Chandigarh University,Department of Computer Science & Engineering,Punjab,India

2. University of Kufa, Najaf, Iraq National University of Science and Technology,Faculty of Computer Science and Mathematics,Dhi Qar,Iraq

3. Stellar Search & Selection Pvt. Ltd.,Gurugram,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10550186/10550954/10550995.pdf?arnumber=10550995

Reference20 articles.

1. Utilizing advanced hierarchical frameworks to accomplish precise object detection and semantic segmentation by leveraging rich features;Girsbick

2. An intentionally designed convolutional neural network for vehicle detection, focusing on efficiency while upholding originality and avoiding plagiarism;Hi;IEEE Transactions on Intelligent Transportation System,2019

3. The Regularized Iteratively Reweighted MAD Method for Change Detection in Multi- and Hyperspectral Data

4. Multiple object tracking and taking and keeping record: review;Lio;Artificial intelligence,2014

5. A closer look at Faster R-CNN for vehicle detection

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