6 citations · 7 across the 4 of their papers we have counts for
4 papers
An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios
Leandro Parada, Hanlin Tian, Jose Escribano +1
Collaborative navigation becomes essential in situations of occluded scenarios in autonomous driving where independent driving policies are likely to lead to collisions. One promis…
Probabilistic Planning for Maritime Search and Rescue
Luís Marques, Jose Javier Escribano Macias, Panagiotis Angeloudis
Maritime accidents cause thousands of disappearances every year, with migrant crossings being particularly dangerous and under-reported. Current coastal and NGO search and rescue s…
Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions using Reinforcement Learning
Qiming Ye, Yuxiang Feng, Jose Javier Escribano Macias +2
The deployment of Autonomous Vehicles (AVs) poses considerable challenges and unique opportunities for the design and management of future urban road infrastructure. In light of th…
A Decentralised Multi-Agent Reinforcement Learning Approach for the Same-Day Delivery Problem
Elvin Ngu, Leandro Parada, Jose Javier Escribano Macias +1
Same-Day Delivery services are becoming increasingly popular in recent years. These have been usually modelled by previous studies as a certain class of Dynamic Vehicle Routing Pro…