2 papers
cs.RO2025
DRO-EDL-MPC: Evidential Deep Learning-Based Distributionally Robust Model Predictive Control for Safe Autonomous Driving
Hyeongchan Ham, Heejin Ahn
Safety is a critical concern in motion planning for autonomous vehicles. Modern autonomous vehicles rely on neural network-based perception, but making control decisions based on t…
eess.SY2025
Comparing Parameterizations and Objective Functions for Maximizing the Volume of Zonotopic Invariant Sets
Chenliang Zhou, Heejin Ahn, Ian M. Mitchell
In formal safety verification, many proposed algorithms use parametric set representations and convert the computation of the relevant sets into an optimization problem; consequent…