Computer Vision-Enabled Smart Traffic Monitoring for Sustainable Transportation Management-Reference-Cited by-同舟云学术

Computer Vision-Enabled Smart Traffic Monitoring for Sustainable Transportation Management

Published:2022-08-31 Issue: Volume: Page:
ISSN:
Container-title:International Conference on Transportation and Development 2022
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Author:

Shao Yunli¹¹²³¹,Wang Chieh (Ross)¹¹²³¹,Berres Andy¹¹²³¹,Yoshioka Jovan¹¹²³¹,Cook Adian¹¹²³¹,Xu Haowen¹¹²³¹

Affiliation:

1. Buildings and Transportation Science Division, Oak Ridge National Laboratory, Oak Ridge, TN.

2. Computational Sciences Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN.

3. Dept. of Electrical Engineering and Computer Science, Univ. of Tennessee Knoxville, Knoxville, TN. E mail:

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784484319.004

Reference23 articles.

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3. Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., and Fei-Fei, L. (2010). ImageNet: A large-scale hierarchical image database. Institute of Electrical and Electronics Engineers (IEEE), 248–255.

4. Simulating the Autonomous Future: A Look at Virtual Vehicle Environments and How to Validate Simulation Using Public Data Sets;Deter D.;IEEE Signal Processing Magazine,2021

5. Dutta A. and Zisserman A. (2019). “The VIA annotation software for images audio and video.” MM 2019 - Proceedings of the 27th ACM International Conference on Multimedia Association for Computing Machinery Inc 2276–2279.

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