Spatiotemporal capsule neural network for vehicle trajectory prediction

Spatiotemporal capsule neural network for vehicle trajectory prediction

Through advancement of the Vehicle-to-Everything (V2X) network, road safety, energy consumption, and traffic efficiency can be significantly improved. An accurate vehicle trajectory prediction benefits communication traffic management and network resource allocation for the real-time application of...

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書目詳細資料
Main Authors:	Qin, Yan, Guan, Yong Liang, Yuen, Chau
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2023
主題:	Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Trajectory Vehicle-to-Everything Global Positioning System Task Analysis Predictive Models Real-Time Systems Hidden Markov Models
在線閱讀:	https://hdl.handle.net/10356/166621
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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