Multi-Task Trajectory Prediction Using a Vehicle-Lane Disentangled Conditional Variational Autoencoder

Multi-Task Trajectory Prediction Using a Vehicle-Lane Disentangled Conditional Variational Autoencoder

Trajectory prediction under multimodal information is critical for autonomous driving, necessitating the integration of dynamic vehicle states and static high-definition (HD) maps to model complex agent–scene interactions effectively. However, existing methods often employ static scene encodings and...

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Bibliographic Details
Main Authors: Haoyang Chen, Na Li, Hangguan Shan, Eryun Liu, Zhiyu Xiang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
trajectory prediction
generative model
deep learning
autonomous driving
Online Access:https://www.mdpi.com/1424-8220/25/14/4505
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