Joint learning of video images and physiological signals for lane-changing behavior prediction-Reference-Cited by-同舟云学术

Joint learning of video images and physiological signals for lane-changing behavior prediction

Published:2021-06-17 Issue: Volume: Page:1-20
ISSN:2324-9935
Container-title:Transportmetrica A: Transport Science
language:en
Short-container-title:Transportmetrica A: Transport Science

Author:

Gao Jun¹²,Yi Jiangang¹²,Murphey Yi Lu³

Affiliation:

1. Hubei Key Laboratory of Industrial Fume & Dust Pollution Control, Jianghan University, Wuhan, People’s Republic of China

2. School of Smart Manufacturing, Jianghan University, Wuhan, People’s Republic of China

3. Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI, USA

Funder

High-level Talents Fund of Jianghan University

Publisher

Informa UK Limited

Subject

General Engineering,Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/23249935.2021.1936279

Reference40 articles.

1. Bachlechner, T., B. P. Majumder, H. H. Mao, G. W. Cottrell, and J. J. McAuley. 2020. “ReZero is All You Need: Fast Convergence at Large Depth.” arXiv:2003.04887.

2. Deng, Q., J. Wang, K. Hillebrand, C. R. Benjamin, and D. Soffker. 2020. “Prediction Performance of Lane Changing Behaviors: A Study of Combining Environmental and Eye-Tracking Data in a Driving Simulator.” 21 (8): 3561–3570.

3. Ding, M., Z. Wang, B. Zhou, J. Shi, Z. Lu, and P. Luo. 2019. “Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow.” arXiv:1911.12739.

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