Publications

Florian Pfaff, Kailai Li, and Uwe D. Hanebeck. Conditional Densities and Likelihoods for Hypertoroidal Densities Based on Trigonometric Polynomials. Proceedings of the 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2021), Institute of Electrical and Electronics Engineers (IEEE), 2021. [PUMA: 2021ias ias]

Florian Pfaff, Kailai Li, and Uwe Hanebeck. Deep Likelihood Learning for 2-D Orientation Estimation Using a Fourier Filter. December 2021. [PUMA: 2021ias ias]

Florian Pfaff, Kailai Li, and Uwe Hanebeck. The State Space Subdivision Filter for SE(3). July 2022. [PUMA: 2022ias ias]

Kailai Li, Florian Pfaff, and Uwe Hanebeck. Circular Discrete Reapproximation. July 2022. [PUMA: 2022ias ias]

Georg Maier, Marcel Reith-Braun, Albert Bauer, Robin Gruna, Florian Pfaff, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, and Jürgen Beyerer. Machine learning based multiobject tracking for sensor based sorting. Forum Bildverarbeitung 2022. Ed.: T. Längle, 115-126, KIT Scientific Publishing, 2022. [PUMA: 2022ias ias]