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Social relation and physical lane aggregator: integrating social and physical features for multimodal motion prediction

Qiyuan Chen, Zebing Wei, Xiao Wang, Lingxi Li, Yisheng Lv

Journal of Intelligent and Connected Vehicles (2022) 5 (3): 302–308.

https://doi.org/10.1108/JICV-07-2022-0028

Published: 25 August 2022

... to the original publication and authors. The full terms of this licence maybe seen at http://creativecommons.org/licences/by/4.0/legalcode Deep learning Machine learning Autonomous driving Trajectory prediction Motion prediction is a crucial component of developing autonomous vehicles (Wang...

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Dynamic prediction of traffic incident duration on urban expressways: a deep learning approach based on LSTM and MLP

Weiwei Zhu, Jinglin Wu, Ting Fu, Junhua Wang, Jie Zhang, Qiangqiang Shangguan

Journal of Intelligent and Connected Vehicles (2021) 4 (2): 80–91.

https://doi.org/10.1108/JICV-03-2021-0004

Published: 25 August 2021

... details about concepts and definitions; key parameters and factors and deep learning modeling approach. The process of an incident is generally divided into four parts: detection time (time duration between incident occurrence and incident discovery), the response time (time duration between...

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Social relation and physical lane aggregator: integrating social and physical features for multimodal motion prediction

Dynamic prediction of traffic incident duration on urban expressways: a deep learning approach based on LSTM and MLP

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Social relation and physical lane aggregator: integrating social and physical features for multimodal motion prediction

Dynamic prediction of traffic incident duration on urban expressways: a deep learning approach based on LSTM and MLP

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