State Observability through Prior Knowledge: A Conceptional Paradigm in Inertial Sensing. - Tom L. Koller; Tim Laue 001; Udo Frese (ICINCO (1), 2019)

State Observability through Prior Knowledge: Tracking Track Cyclers with Inertial Sensors. - Tom L. Koller; Udo Frese (IPIN, 2019)

Towards robotic drinking assistance: low cost multi-sensor system to limit forces in human-robot-interaction. - Tom L. Koller; Maria Kyrarini; Axel Gräser (PETRA, 2019)

Kalman Filter with Moving Reference for Jump-Free, Multi-Sensor Odometry with Application in Autonomous Driving. - Joachim Clemens; Constantin Wellhausen; Tom Lucas Koller; Udo Frese; Kerstin Schill (FUSION, 2020)

The Interacting Multiple Model Filter on Boxplus-Manifolds. - Tom L. Koller; Udo Frese (MFI, 2020)

State Observability through Prior Knowledge: Analysis of the Height Map Prior for Track Cycling. - Tom L. Koller; Udo Frese (Sensors, 2020)

The Interacting Multiple Model Filter and Smoother on Boxplus-Manifolds. - Tom L. Koller; Udo Frese (Sensors, 2021)

Event-Domain Knowledge in Inertial Sensor Based State Estimation of Human Motion. - Tom L. Koller; Tim Laue 001; Udo Frese (FUSION, 2022)

State Estimation Solely Based on Prior Knowledge and Inertial Sensors (Zustandsschätzung allein mit Vorwissen und Inertialsensoren) - Tom L. Koller (2022)

Potential of Tetrahedral Markers for Infrared Pose Tracking in Surgical Navigation. - Erik Immoor; Tom L. Koller (VCBM, 2024)