A best practice for the lean development of automated driving function concepts to reduce integration risks. - Karin Tieber; Johannes Rumetshofer; Michael Stolz; Daniel Watzenig (ITSC, 2020)

Sub-optimal and robust path tracking: a geometric approach. - Karin Tieber; Johannes Rumetshofer; Michael Stolz; Daniel Watzenig (IROS, 2021)

AGV Path Planning Using Curiosity-Driven Deep Reinforcement Learning. - Huilin Yin; Yinjia Lin; Jun Yan; Qian Meng; Karin Festl; Lukas Schichler; Daniel Watzenig (CASE, 2023)

RL-based path planning for controller performance validation. - Lukas Schichler; Karin Festl; Michael Stolz; Daniel Watzenig (MED, 2023)

Performance of Graph Database Management Systems as route planning solutions for different data and usage characteristics. - Karin Festl; Patrick Promitzer; Daniel Watzenig; Huilin Yin (CoRR, 2023)

Random Network Distillation Based Deep Reinforcement Learning for AGV Path Planning. - Huilin Yin; Shengkai Su; Yinjia Lin; Pengju Zhen; Karin Festl; Daniel Watzenig (IV, 2024)

A Cost-Effective Approach to Smooth A* Path Planning for Autonomous Vehicles. - Lukas Schichler; Karin Festl; Selim Solmaz; Daniel Watzenig (CoRR, 2024)

Multi-Objective Path Tracking Control for Car-Like Vehicles With Differentially Bounded n-Smooth Output. - Karin Festl; Michael Stolz; Daniel Watzenig (IEEE Trans. Intell. Transp. Syst., 2024)

Thermal-LiDAR Fusion for Robust Tunnel Localization in GNSS-Denied and Low-Visibility Conditions. - Lukas Schichler; Karin Festl; Selim Solmaz; Daniel Watzenig (CoRR, 2025)

A nonlinear dead-time compensation method for path tracking control. - Karin Festl; Michael Stolz (CoRR, 2025)