3 papers
eess.SY2026
Sampling-based Model Predictive Control Using Trust Regions
Markus Walker, Marcel Reith-Braun, Daniel Frisch +1
Sampling-based model predictive control (MPC) algorithms, such as model predictive path integral (MPPI), enable approximate, gradient-free solutions to optimal control problems by…
eess.SY2026
Smooth Sampling-Based Model Predictive Control Using Deterministic Samples
Markus Walker, Marcel Reith-Braun, Tai Hoang +2
Sampling-based model predictive control (MPC) is effective for nonlinear systems but often produces non-smooth control inputs due to random sampling. To address this issue, we exte…
cs.RO2019
Capturing Object Detection Uncertainty in Multi-Layer Grid Maps
Sascha Wirges, Marcel Reith-Braun, Martin Lauer +1
We propose a deep convolutional object detector for automated driving applications that also estimates classification, pose and shape uncertainty of each detected object. The input…