2 papers
eess.SY2021
Set-Membership Estimation in Shared Situational Awareness for Automated Vehicles in Occluded Scenarios
Vandana Narri, Amr Alanwar, Jonas Mårtensson +3
One of the main challenges in developing autonomous transport systems based on connected and automated vehicles is the comprehension and understanding of the environment around eac…
cs.CV2020
Pedestrian Trajectory Prediction with Convolutional Neural Networks
Simone Zamboni, Zekarias Tilahun Kefato, Sarunas Girdzijauskas +2
Predicting the future trajectories of pedestrians is a challenging problem that has a range of application, from crowd surveillance to autonomous driving. In literature, methods to…