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Hua-Ran Zhou

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Open access 2026

Lane-Changing Intention-Aware Vehicle Trajectory Prediction via Mutual Information-Guided Feature Selection and a Hybrid Convolutional Neural Network–Transformer Architecture

A joint intention-and-trajectory prediction framework that combines mutual-information-guided feature selection with a hybrid convolutional neural network (CNN)–Transformer architecture is proposed to improve the accuracy, efficiency, and interpretability of intention-aware vehicle trajectory prediction.

Hua-Ran Zhou, Gao-Teng Yuan, Ping Qiu · Computer Modeling in Enginee... · 0 citations