Publications
Peer-reviewed papers, conferences, and presentations in my research domains.
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Analysis of scan-pattern induced bias in deep learning methods for cross-calibration of LiDAR and camera
ICMERR 2026
Submitted to ICMERR 2026
Investigates whether end-to-end deep learning methods for LiDAR–camera extrinsic calibration suffer from shortcut learning due to recognizable LiDAR scan patterns. The work bridges production-grade automotive perception and modern deep-learning calibration research.
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A Loop-Based Approach for Topological Processing of Mobility and Subsystem Rigidity in Complex Spatial Multibody Systems
Doctoral Dissertation, University of Duisburg-Essen — DuEPublico · doi:10.17185/duepublico/73524
Development of a loop-based topological framework for analyzing mobility and detecting rigid substructures in complex spatial multibody systems and derivation of efficient closed-form kinematics for suitable subsystems.
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Solving the double-banana rigidity problem: A loop-based approach
Mechanical Sciences, 7(1), 107–117
Resolves the classical "double-banana" counterexample in mobility analysis via a loop-based topological method by tracking isolated degrees of freedom.
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Detecting rigid substructures in spatial nucleation free spherical-spherical bar mechanisms based on kinematical loops
Proceedings of the First IFToMM DA-CH Conference, pp. 68–69, Dortmund, Germany
Applies a loop-based rigidity-detection method to nucleation-free spherical–spherical bar mechanisms — frameworks whose intrinsic mobility cannot be deduced from local degree-of-freedom counting and is only revealed through global loop couplings. Demonstrated on a cyclic seven-roof mechanism for which conventional algorithms fail, identifying it as an effective 7R loop with a single proper DOF.
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A loop-based approach for the detection of rigid substructures in spatial nucleation-free spherical-spherical bar mechanisms
Proceedings of the 14th IFToMM World Congress, pp. 382–391, Taipei, Taiwan
Detection of mechanisms that are inherently mobile but become rigid once embedded in a overall assembly. Rigidity of these mechanisms is impossible to detect by applying counting formulas to isolated the subsystems. Solved by using a graph-based approach representing the mechanism as a system of interconnected loops.
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A novel, loop-based approach for rigidity detection for systems with multiple spherical–spherical bars: The "double banana" case
In: Flores, P. & Viadero, F. (eds.), New Trends in Mechanism and Machine Science (Mechanisms and Machine Science, vol. 24), pp. 91–98. Springer · doi:10.1007/978-3-319-09411-3_10
Introduces a loop-based rigidity-detection algorithm for mechanisms with multiple spherical–spherical bars, tracking "isolated" rotational DOFs through a kinematical network of independent loops. Demonstrated on the classical "double-banana" — which satisfies Grübler's count and Maxwell's rule yet is not rigid — recovering both the proper DOF about its implied edge and the over-constrained direction along it.