Stefan Grodde
Papers
1
Total Citations
83
H-Index
1
About
Stefan Grodde's research lies at the intersection of robotics, autonomous vehicle control, and trajectory optimization. His most influential contribution is a seminal 2007 paper on continuous curvature trajectory design for parking maneuvers, which has garnered 83 citations. In this work, Grodde pioneered a two-step trajectory planning algorithm adapted from robotics to generate collision-free, kinematically feasible paths for autonomous cars. By integrating feedforward control with continuous curvature constraints, he solved the critical challenge of smooth, executable parking trajectories—enabling vehicles to navigate tight spaces without abrupt steering changes. This foundational approach has been widely adopted in autonomous parking systems and remains a key reference in the field. Grodde's work bridges theoretical robotics and practical automotive applications, demonstrating how classical motion planning techniques can be refined for real-world constraints. His contributions have influenced subsequent research in nonholonomic vehicle control and path smoothing, establishing him as a notable figure in autonomous driving technology.
Research Focus
Key Achievements
Top Papers
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