System Design and Energy Management for Indoor Solar Energy Harvesting Under Consideration of Spectral Characteristics of Solar Cells. - Christian Viehweger; Thomas Keutel; Laura Kasper; Tim Pfeifer; Olfa Kanoun (Int. J. Meas. Technol. Instrum. Eng., 2013)

Robust factor graph optimization - a comparison for sensor fusion applications. - Tim Pfeifer; Peter Weissig; Sven Lange; Peter Protzel (ETFA, 2016)

Dynamic Covariance Estimation - A parameter free approach to robust Sensor Fusion. - Tim Pfeifer; Sven Lange; Peter Protzel (MFI, 2017)

Robust Sensor Fusion with Self-Tuning Mixture Models. - Tim Pfeifer; Peter Protzel (IROS, 2018)

Expectation-Maximization for Adaptive Mixture Models in Graph Optimization. - Tim Pfeifer; Peter Protzel (ICRA, 2019)

Incrementally learned Mixture Models for GNSS Localization. - Tim Pfeifer; Peter Protzel (IV, 2019)

Factor Graph based 3D Multi-Object Tracking in Point Clouds. - Johannes Pöschmann; Tim Pfeifer; Peter Protzel (IROS, 2020)

GNSS/LiDAR Integration Aided by Self-Adaptive Gaussian Mixture Models in Urban Scenarios: An Approach Robust to Non-Gaussian Noise. - Weisong Wen; Xiwei Bai; Li-Ta Hsu; Tim Pfeifer (PLANS, 2020)

It is time for Factor Graph Optimization for GNSS/INS Integration: Comparison between FGO and EKF. - Weisong Wen; Tim Pfeifer; Xiwei Bai; Li-Ta Hsu (CoRR, 2020)

Optimization based 3D Multi-Object Tracking using Camera and Radar Data. - Johannes Pöschmann; Tim Pfeifer; Peter Protzel (IV, 2021)

Advancing Mixture Models for Least Squares Optimization. - Tim Pfeifer; Sven Lange; Peter Protzel (IEEE Robotics Autom. Lett., 2021)

A Credible and Robust Approach to Ego-Motion Estimation Using an Automotive Radar. - Karim Haggag; Sven Lange; Tim Pfeifer; Peter Protzel (IEEE Robotics Autom. Lett., 2022)