4D trajectory lightweight prediction algorithm based on knowledge distillation technique

The proposed method effectively balances high-precision modeling of spatiotemporal dependencies with lightweight deployment requirements, enabling real-time air-traffic monitoring and early warning on standard CPUs and embedded devices. This framework offers a scalable solution for enhancing the operational safety and efficiency of modern air-traffic control systems.

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Publication Details

Journal
Frontiers in Neurorobotics
Published
2025-08-22
DOI
https://doi.org/10.3389/fnbot.2025.1643919
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

4D trajectory lightweight prediction algorithm based on knowledge distillation technique

Weizhen Tang, Weiliang Xie, Zhihui Huang, Jiyan Dai et al.
1 links
Frontiers in Neurorobotics
Traffic Prediction and Management Techniques
article

4D trajectory lightweight prediction algorithm based on knowledge distillation technique

Weizhen Tang, Weiliang Xie, Zhihui Huang, Jiyan Dai, Boyang Hao
article en

Abstract

The proposed method effectively balances high-precision modeling of spatiotemporal dependencies with lightweight deployment requirements, enabling real-time air-traffic monitoring and early warning on standard CPUs and embedded devices. This framework offers a scalable solution for enhancing the operational safety and efficiency of modern air-traffic control systems.

Frontiers in NeuroroboticsVol. 19
Civil Aviation Flight University of China (CN)
Civil Aviation Administration of China
Openalex Percentile: Top 77%
Traffic Prediction and Management Techniques
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4D trajectory lightweight prediction algorithm based on knowledge distillation technique — Weizhen Tang, Weiliang Xie, et al. · Frontiers in Neurorobotics (2025) | TGRS Research Map | TGRS