4D trajectory lightweight prediction algorithm based on knowledge distillation technique

4D trajectory lightweight prediction algorithm based on knowledge distillation technique

IntroductionTo address the challenges of current 4D trajectory prediction—specifically, limited multi-factor feature extraction and excessive computational cost—this study develops a lightweight prediction framework tailored for real-time air-traffic management.MethodsWe propose a hybrid RCBAM–TCN–L...

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Bibliographic Details
Main Authors: Weizhen Tang, Jie Dai, Zhousheng Huang, Boyang Hao, Weizheng Xie
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Neurorobotics
Subjects:
4D trajectory prediction
multi-step prediction
knowledge distillation technique
Teacher-Student Model
feature extraction
Online Access:https://www.frontiersin.org/articles/10.3389/fnbot.2025.1643919/full
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https://www.frontiersin.org/articles/10.3389/fnbot.2025.1643919/full

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