Valentin Tertius Bickel

According to our database, Valentin Tertius Bickel authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., June, 2024

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

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

Sci. Robotics, July, 2023

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

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, Marco Hutter

Field Robotics, March, 2022

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

2021

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Unsupervised Distribution Learning for Lunar Surface Anomaly Detection.

Adam Lesnikowski, Valentin Tertius Bickel, Daniel Angerhausen

CoRR, 2020

2019

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

2018

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