Utilizing infrastructure and vehicle-side information to track and forec...
Multimodal learning has mainly focused on learning large models on, and
...
With the continuous improvement of computing power and deep learning
alg...
This paper proposes a high-fidelity simulation framework that can estima...
Autonomous driving faces great safety challenges for a lack of global
pe...
Concurrent perception datasets for autonomous driving are mainly limited...
Clustering and prediction are two primary tasks in the fields of unsuper...
Modern methods for learning over graph input data have shown the fruitfu...