Quantitative Assessment of Digital Image Correlation Methods to Detect and Monitor Surface Displacements of Large Slope Instabilities. - Valentin Tertius Bickel; Andrea Manconi; Florian Amann (Remote. Sens., 2018)

Automated Detection of Lunar Rockfalls Using a Convolutional Neural Network. - Valentin Tertius Bickel; Charis Lanaras; Andrea Manconi; Simon Loew; Urs Mall (IEEE Trans. Geosci. Remote. Sens., 2019)

Unsupervised Distribution Learning for Lunar Surface Anomaly Detection. - Adam Lesnikowski; Valentin Tertius Bickel; Daniel Angerhausen (CoRR, 2020)

Deep Learning-Driven Detection and Mapping of Rockfalls on Mars. - Valentin Tertius Bickel; Susan J. Conway; Pierre-Antoine Tesson; Andrea Manconi; Simon Loew; Urs Mall (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Extreme Low-Light Environment-Driven Image Denoising Over Permanently Shadowed Lunar Regions With a Physical Noise Model. - Ben Moseley; Valentin Tertius Bickel; Ignacio G. Lopez Francos; Loveneesh Rana (CVPR, 2021)

Using Machine Learning to Reduce Observational Biases When Detecting New Impacts on Mars. - Kiri L. Wagstaff; Ingrid J. Daubar; Gary Doran; Michael J. Munje; Valentin Tertius Bickel; Annabelle Gao; Joe Pate; Daniel Wexler (CoRR, 2022)

Traversing Steep and Granular Martian Analog Slopes With a Dynamic Quadrupedal Robot. - Hendrik Kolvenbach; Philip Arm; Elias Hampp; Alexander Dietsche; Valentin Tertius Bickel; Benjamin Sun; Christoph Meyer 005; Marco Hutter 001 (Field Robotics, 2022)

Global mapping of fragmented rocks on the Moon with a neural network: Implications for the failure mode of rocks on airless surfaces. - Ottaviano Rüsch; Valentin Tertius Bickel (CoRR, 2023)

Scientific exploration of challenging planetary analog environments with a team of legged robots. - Philip Arm; Gabriel Waibel; Jan Preisig; Turcan Tuna; Ruyi Zhou; Valentin Tertius Bickel; Gabriela Ligeza; Takahiro Miki; Florian Kehl; Hendrik Kolvenbach; Marco Hutter 001 (Sci. Robotics, 2023)

Automated Discovery of Anomalous Features in Ultralarge Planetary Remote-Sensing Datasets Using Variational Autoencoders. - Adam Lesnikowski; Valentin Tertius Bickel; Daniel Angerhausen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Superresolution of Lunar Satellite Images for Enhanced Robotic Traverse Planning: Maximizing the Value of Existing Data Products for Space Robotics. - Jose Ignacio Delgado-Centeno; Paula Harder; Valentin Tertius Bickel; Ben Moseley; Freddie Kalaitzis; Siddha Ganju; Miguel A. Olivares-Méndez (IEEE Robotics Autom. Mag., 2024)

Deep-Learning-Based Object Detection and Tracking of Debris Flows in 3-D Through LiDAR-Camera Fusion. - Jacob Hirschberg; Valentin Tertius Bickel; Jordan Aaron (IEEE Trans. Geosci. Remote. Sens., 2025)