Markus Obert
Papers
1
Total Citations
7
H-Index
1
About
Markus Obert is a robotics researcher whose work centers on autonomous navigation, sensor fusion, and high-precision localization for mobile systems. His key contributions lie in advancing simultaneous localization and mapping (SLAM) using 3D LiDAR technology, particularly through the integration of low-cost real-time kinematics (RTK) GPS solutions. His most-cited paper, "3D LiDAR Based SLAM System Evaluation with Low-Cost Real-Time Kinematics GPS Solution" (2022, 7 citations), provides a foundational framework for evaluating SLAM algorithms on robotic platforms, demonstrating how affordable GPS can achieve the centimeter-level accuracy essential for intelligent autonomous behavior in both industrial and field robotics. This work bridges the gap between cost-effective hardware and robust performance, enabling broader adoption of autonomous systems. Obert’s research is pivotal for students and engineers seeking practical, scalable approaches to positioning and mapping, offering a clear methodology for testing and validating SLAM in real-world environments. His contributions continue to influence the development of reliable, low-cost autonomous navigation solutions.
Research Focus
Key Achievements
Top Papers
- 1