Karin Festl

According to our database, Karin Festl authored at least 10 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

A nonlinear dead-time compensation method for path tracking control.

Karin Festl, Michael Stolz

CoRR, July, 2025

Thermal-LiDAR Fusion for Robust Tunnel Localization in GNSS-Denied and Low-Visibility Conditions.

Lukas Schichler, Karin Festl, Selim Solmaz, Daniel Watzenig

CoRR, May, 2025

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., July, 2024

A Cost-Effective Approach to Smooth A* Path Planning for Autonomous Vehicles.

Lukas Schichler, Karin Festl, Selim Solmaz, Daniel Watzenig

CoRR, 2024

Random Network Distillation Based Deep Reinforcement Learning for AGV Path Planning.

Huilin Yin, Shengkai Su, Yinjia Lin, Pengju Zhen, Karin Festl, Daniel Watzenig

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

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

RL-based path planning for controller performance validation.

Lukas Schichler, Karin Festl, Michael Stolz, Daniel Watzenig

Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023

AGV Path Planning Using Curiosity-Driven Deep Reinforcement Learning.

Huilin Yin, Yinjia Lin, Jun Yan, Qian Meng, Karin Festl, Lukas Schichler, Daniel Watzenig

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2021

Sub-optimal and robust path tracking: a geometric approach.

Karin Tieber, Johannes Rumetshofer, Michael Stolz, Daniel Watzenig

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

A best practice for the lean development of automated driving function concepts to reduce integration risks.

Karin Tieber, Johannes Rumetshofer, Michael Stolz, Daniel Watzenig

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020