Multimodal trajectory prediction for intelligent connected vehicles in complex road scenarios based on causal reasoning and driving cognition characteristics

Multimodal trajectory prediction for intelligent connected vehicles in complex road scenarios based on causal reasoning and driving cognition characteristics

Abstract The safe and efficient operation of smart Intelligent vehicles relies heavily on accurate trajectory prediction techniques. Existing methods improve prediction accuracy by introducing scene context information, but lack the causal perspective to explain why scene context improves prediction...

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Bibliographic Details
Main Authors: ZhiYong Yang, Jun Yang, Yu Zhou, QinXin Xu, MingHui Ou
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Trajectory prediction
Intelligent connected vehicles
Causal reasoning
Driving cognition
Multimodal prediction
Online Access:https://doi.org/10.1038/s41598-025-91818-y
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https://doi.org/10.1038/s41598-025-91818-y

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