Deep‐learning‐based vehicle trajectory prediction: A review

C Yin, M Cecotti, DJ Auger, A Fotouhi… - IET Intelligent …, 2025 - Wiley Online Library
Vehicle trajectory prediction enables autonomous vehicles to better reason about fast‐
changing driving scenarios and thus perform well‐informed decision‐making tasks. Among …

Brain-inspired semantic data augmentation for multi-style images

W Wang, Z Shang, C Li - Frontiers in Neurorobotics, 2024 - frontiersin.org
Data augmentation is an effective technique for automatically expanding training data in
deep learning. Brain-inspired methods are approaches that draw inspiration from the …

Multi‐agent trajectory prediction with adaptive perception‐guided transformers

NL Nguyen, M Yoo - IET Intelligent Transport Systems, 2024 - Wiley Online Library
The ability to predict the trajectory of an autonomous vehicle accurately is crucial for safe
and efficient navigation. However, predicting diverse and multimodal futures can be …

MTPI: Multimodal Trajectory Prediction for Autonomous Driving via Informer

M Sun, J Li, J Liu, X Yang - 2024 IEEE 24th International …, 2024 - ieeexplore.ieee.org
The multimodal prediction of surrounding vehicle trajectories serves as a valuable tool in
assisting autonomous vehicles in making safe and rational decisions. The complexity and …