Hybrid Neural Network Approach with Physical Constraints for Predicting the Potential Occupancy Set of Surrounding Vehicles

Hybrid Neural Network Approach with Physical Constraints for Predicting the Potential Occupancy Set of Surrounding Vehicles

The reliable and uncertainty-aware prediction of surrounding vehicles remains a key challenge in autonomous driving. However, existing methods often struggle to quantify and incorporate uncertainty effectively. To address these challenges, we propose a hybrid architecture that combines a data-driven...

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Bibliographic Details
Main Authors: Bin Sun, Shichun Yang, Jiayi Lu, Yu Wang, Xinjie Feng, Yaoguang Cao
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Mathematical and Computational Applications
Subjects:
autonomous driving
prediction uncertainty
hybrid neural network
physical constraints
potential occupancy
Online Access:https://www.mdpi.com/2297-8747/30/3/56
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