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Game-theoretic motion planning method for dynamic interactive vehicles based on intent-awareness and multimodal trajectory prediction | Synapse
March 3, 2026
Game-theoretic motion planning method for dynamic interactive vehicles based on intent-awareness and multimodal trajectory prediction
WL
Weihe Liang
Nanjing University of Aeronautics and Astronautics
WC
Wenhe Cao
Nanjing University of Aeronautics and Astronautics
CW
Chunyan Wang
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Key Points
Improved motion planning significantly enhances vehicle interactions, leading to better navigation.
The intent-awareness feature effectively predicts trajectories, resulting in a 20% increase in safety during maneuvers.
Employing a game-theoretic approach allows vehicles to understand each other's intentions, reducing conflicts.
This innovative model requires further real-world testing to confirm its effectiveness in actual traffic scenarios.
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Liang et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75de6c6e9836116a28311
https://doi.org/https://doi.org/10.1016/j.aei.2026.104383
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