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January 1, 2026International Journal of Intelligent Information and Database SystemsOpen Access

Real-time precise 4D trajectory prediction in complex low-altitude scenarios using multi-sensor fusion

Chenchuan Zhang Zhenkai Zhang Ni Chen

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Key Points

This research aims to enhance trajectory prediction accuracy in complex low-altitude environments using multi-sensor data integration.
Developed a real-time 4D trajectory prediction model using data from multiple sensors.
Conducted simulations in low-altitude scenarios to assess model performance.
Analyzed the impact of sensor fusion on prediction accuracy.
Achieved a prediction accuracy improvement of 25% over traditional methods.
Demonstrated significant enhancements in navigating complex environments.
Reported a reduction in prediction error by 15% when using multi-sensor data.

Implication

Demonstrates precise trajectory prediction in low-altitude scenarios, suggesting improved navigation techniques.

Abstract

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Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/6a05677ca550a87e60a1f8e3 https://doi.org/10.1504/ijiids.2026.10078272

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