Correlating Intrinsic Parameters and Sharpness for Condition Monitoring of Automotive Imaging Sensors. - Marcel Kettelgerdes; Lena Böhm; Gordon Elger (ICSRS, 2021)

Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry. - Andreas Theissler; Judith Pérez-Velázquez; Marcel Kettelgerdes; Gordon Elger (Reliab. Eng. Syst. Saf., 2021)

Modeling Methodology and In-field Measurement Setup to Develop Empiric Weather Models for Solid-State LiDAR Sensors. - Marcel Kettelgerdes; Gordon Elger (DTPI, 2022)

Automotive LiDAR Based Precipitation State Estimation Using Physics Informed Spatio-Temporal 3D Convolutional Neural Networks (PIST-CNN). - Marcel Kettelgerdes; Amit Pandey; Denis Unruh; Hüseyin Erdogan; Bernhard Wunderle; Gordon Elger (M2VIP, 2023)

Accelerated Real-Life (ARL) Testing and Characterization of Automotive LiDAR Sensors to facilitate the Development and Validation of Enhanced Sensor Models. - Marcel Kettelgerdes; Tjorven Hillmann; Thomas Hirmer; Hüseyin Erdogan; Bernhard Wunderle; Gordon Elger (CoRR, 2023)

Precise Adverse Weather Characterization by Deep-Learning-Based Noise Processing in Automotive LiDAR Sensors. - Marcel Kettelgerdes; Nicolas Sarmiento; Hüseyin Erdogan; Bernhard Wunderle; Gordon Elger (Remote. Sens., 2024)

VALISENS: A Validated Innovative Multi-Sensor System for Cooperative Automated Driving. - Lei Wan; Prabesh Gupta; Andreas Eich; Marcel Kettelgerdes; Hannan Ejaz Keen; Michael Klöppel-Gersdorf; Alexey V. Vinel (CoRR, 2025)