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Deep‐learning‐based vehicle trajectory prediction: A review
Vehicle trajectory prediction enables autonomous vehicles to better reason about fast‐
changing driving scenarios and thus perform well‐informed decision‐making tasks. Among …
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 …
deep learning. Brain-inspired methods are approaches that draw inspiration from the …
Multi‐agent trajectory prediction with adaptive perception‐guided transformers
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 …
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 …
assisting autonomous vehicles in making safe and rational decisions. The complexity and …