25 citations · 55 across the 18 of their papers we have counts for
7 papers · 1 filter
Reinforcement Learning from Simulation to Real World Autonomous Driving using Digital Twin
Kevin Voogd, Jean Pierre Allamaa, Javier Alonso-Mora +1
Reinforcement learning (RL) is a promising solution for autonomous vehicles to deal with complex and uncertain traffic environments. The RL training process is however expensive, u…
Safety Envelope for Orthogonal Collocation Methods in Embedded Optimal Control
Jean Pierre Allamaa, Panagiotis Patrinos, Herman Van der Auweraer +1
Orthogonal collocation methods are direct approaches for solving optimal control problems (OCP). A high solution accuracy is achieved with few optimization variables, making it mor…
Evaluation of MPC-based Imitation Learning for Human-like Autonomous Driving
Flavia Sofia Acerbo, Jan Swevers, Tinne Tuytelaars +1
This work evaluates and analyzes the combination of imitation learning (IL) and differentiable model predictive control (MPC) for the application of human-like autonomous driving.…
Learning from Demonstrations of Critical Driving Behaviours Using Driver's Risk Field
Yurui Du, Flavia Sofia Acerbo, Jens Kober +1
In recent years, imitation learning (IL) has been widely used in industry as the core of autonomous vehicle (AV) planning modules. However, previous IL works show sample inefficien…
Virtual Reality Assisted Human Perception in ADAS Development: a Munich 3D Model Study
Felix Bognar, Markus Oster, Herman Van der Auweraer +1
As the development of autonomous driving (AD) and advanced driver assistance systems (ADAS) progresses, the relevance of the comfort of users is gaining increasing interest. It bec…
Sim2real for Autonomous Vehicle Control using Executable Digital Twin
Jean Pierre Allamaa, Panagiotis Patrinos, Herman Van der Auweraer +1
In this work, we propose a sim2real method to transfer and adapt a nonlinear model predictive controller (NMPC) from simulation to the real target system based on executable digita…
MPC-based Imitation Learning for Safe and Human-like Autonomous Driving
Flavia Sofia Acerbo, Jan Swevers, Tinne Tuytelaars +1
To ensure user acceptance of autonomous vehicles (AVs), control systems are being developed to mimic human drivers from demonstrations of desired driving behaviors. Imitation learn…