25 citations · 55 across the 18 of their papers we have counts for
5 papers · 1 filter
Imitation Learning from Observations: An Autoregressive Mixture of Experts Approach
Renzi Wang, Flavia Sofia Acerbo, Tong Duy Son +1
This paper presents a novel approach to imitation learning from observations, where an autoregressive mixture of experts model is deployed to fit the underlying policy. The paramet…
AV-Occupant Perceived Risk Model for Cut-In Scenarios with Empirical Evaluation
Sarah Barendswaard, Tong Duy Son
Advancements in autonomous vehicle (AV) technologies necessitate precise estimation of perceived risk to enhance user comfort, acceptance and trust. This paper introduces a novel A…
Driving from Vision through Differentiable Optimal Control
Flavia Sofia Acerbo, Jan Swevers, Tinne Tuytelaars +1
This paper proposes DriViDOC: a framework for Driving from Vision through Differentiable Optimal Control, and its application to learn autonomous driving controllers from human dem…
Learning Based NMPC Adaptation for Autonomous Driving using Parallelized Digital Twin
Jean Pierre Allamaa, Panagiotis Patrinos, Herman Van der Auweraer +1
In this work, we focus on the challenge of transferring an autonomous driving controller from simulation to the real world (i.e. Sim2Real). We propose a data-efficient method for o…
Real-time MPC with Control Barrier Functions for Autonomous Driving using Safety Enhanced Collocation
Jean Pierre Allamaa, Panagiotis Patrinos, Toshiyuki Ohtsuka +1
The autonomous driving industry is continuously dealing with safety-critical scenarios, and nonlinear model predictive control (NMPC) is a powerful control strategy for handling su…