Alexander Hardt-Stremayr
Papers
6
Total Citations
37
H-Index
4
About
Alexander Hardt-Stremayr is a robotics researcher whose work sits at the intersection of autonomous navigation, medical robotics, and aerial systems. His primary contributions lie in visual-inertial odometry (VIO) and state estimation, particularly for challenging environments where traditional methods fail. He pioneered fully dense direct filtering approaches for monocular VIO, enabling robust localization in low-textured scenes with smooth gradients—a critical advancement for indoor UAV flight and real-world deployment. His work on combined system identification and state estimation for quadrotor UAVs has improved control design and navigation accuracy, with his 2021 paper on this topic garnering 8 citations. Notably, his 2023 paper on bridging the simulation-to-real gap for AI-based needle and target detection in robot-assisted ultrasound-guided interventions (12 citations) marks a significant pivot toward medical applications, demonstrating how his expertise in perception and robotics translates to life-saving clinical tools. Hardt-Stremayr also developed VINSEval, an evaluation framework for benchmarking visual-inertial navigation systems, contributing to standardized testing in the field. With a growing citation record and work spanning UAV autonomy to interventional radiology, he is a rising figure in applied robotics and perception.
Research Focus
Key Achievements
Top Papers
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- 2Combined System Identification and State Estimation for a Quadrotor UAV8 citations · 2021
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