Spatiotemporal capsule neural network for vehicle trajectory prediction

• المؤلفون الرئيسيون: Qin, Yan, Guan, Yong Liang, Yuen, Chau
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: 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
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/166621

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...