Vehicle Type Classification Using Deep Learning-Reference-Cited by-同舟云学术

Vehicle Type Classification Using Deep Learning

Published:2020 Issue: Volume: Page:279-290
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Bhujbal Avinash,Mane D. T.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-2475-2_26

Reference11 articles.

1. Ren, S., He, K., Girshick, R., Sun, J.: Regional convolutional neural network: towards real time object detection with region proposal networks. In: IEEE Trans. Pattern Anal. Machine Intelligence, 39(6) (2016)

2. Luvizon, D.C., Nassu, B.T., Minetto, R.: A video based system for vehicle speed measurement in urban roadways. IEEE Trans. Intell. Transp. Syst. 18(6), 1393 (2017)

3. Shi, K., Bao, H., Ma, N.: Forward vehicle detection based on incremental learning and fast regional convolutional neural network. In: IEEE 13th International Conference on Computational Intelligence and Security (2017)

4. Wen, X., Shao, L., Xue, Y., Fang, W.: A rapid learning algorithm for vehicle classification, Elsevier (2015)

5. Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: You only look once: unified, real-time object detection. In: IEEE Conference on Computer Vision and Pattern Recognition (2016)

Cited by 5 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. Examining the Performance of a Deep Learning Model Utilizing Yolov8 for Vehicle Make and Model Classification;Journal of Engineering Technology and Applied Sciences;2024-08-30

2. Embedded Raspberry Pi Vehicle Detection and Classification using Single Shot Detector and Dilated Multi-Column Convolutional Neural Network;2022 3rd International Conference on Embedded & Distributed Systems (EDiS);2022-11-02

3. Image-Based Plant Seedling Classification Using Ensemble Learning;Proceedings of the 6th International Conference on Advance Computing and Intelligent Engineering;2022-09-22

4. Multi-Column Convolutional Neural Network for Vehicle-Type Classification;Advances in Computing Systems and Applications;2022

5. A new comparison framework to survey neural networks‐based vehicle detection and classification approaches;International Journal of Communication Systems;2021-07-27