Collaborative navigation becomes essential in situations of occluded scenarios in autonomous driving where independent driving policies are likely to lead ...

To evaluate the proposed method, we developed an occluded intersection gym environment based on the CARLA autonomous driving simulator, allowing real-time data ...

This paper presents a comprehensive study of 3D point cloud Federated Few-Shot Learning (3DFFL), focusing on addressing challenges such as limited data ...

An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios. Leandro Parada 1. ,. Hanlin Tian 1. ,. Jose Escribano 1.

Co-authors ; An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios. L Parada, H Tian, J Escribano, P Angeloudis.

An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios. L Parada, H Tian, J Escribano, P Angeloudis. 2023 IEEE ...

An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios. Leandro Parada, Hanlin Tian, Jose Escribano ...

An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios. Leandro Parada, Hanlin Tian, Jose Escribano ...

An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios. 24 Sep 20232023 IEEE 26th International Conference on ...

This simulation framework allows custom designs of various traffic scenarios for train- ing and evaluating cooperative driving models.