Papers

1

Total Citations

13

H-Index

1

About

Gunter Nitzsche is a researcher in autonomous vehicle control systems, with a focus on heavy-duty automation and practical robotics applications. His work centers on developing efficient, real-world path tracking solutions for large commercial vehicles, particularly in yard automation and logistics settings. His most cited paper, "A simple yet efficient Path Tracking Controller for Autonomous Trucks" (2019, 13 citations), presents a streamlined controller implemented within the Robot Operating System (ROS) for a funded project called AutoTruck. This project aimed to automate an 18-ton truck for yard operations, and Nitzsche’s contribution was designing a controller that balances simplicity with sufficient performance—a critical trade-off for industrial deployment. While his citation count is modest, the work’s impact lies in its practical applicability, offering a foundation for scalable autonomous truck systems. Nitzsche’s research exemplifies how targeted engineering solutions can bridge the gap between academic algorithms and real-world automation challenges, making his contributions valuable for students and engineers working on autonomous ground vehicles and ROS-based control systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
A simple yet efficient Path Tracking Controller for Autonomous Trucks
13 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Fraunhofer Institute for Transportation and Infrastructure Systems

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago