Pedestrian Trajectory Prediction with Convolutional Neural Networks

no code implementations • 12 Oct 2020 • Simone Zamboni, Zekarias Tilahun Kefato, Sarunas Girdzijauskas, Noren Christoffer, Laura Dal Col

In this work, we propose a new approach to pedestrian trajectory prediction, with the introduction of a novel 2D convolutional model.

Autonomous Driving Data Augmentation +2

Set-Membership Estimation in Shared Situational Awareness for Automated Vehicles in Occluded Scenarios

no code implementations • 2 Mar 2021 • Vandana Narri, Amr Alanwar, Jonas Mårtensson, Christoffer Norén, Laura Dal Col, Karl Henrik Johansson

Depending on the ego-vehicle's ability to fuse information from sensors in other vehicles or in the infrastructure, shared situational awareness is developed using a set-based estimation technique that provides robust guarantees for the location of the pedestrian.