Patrick Pfreundschuh

According to our database, Patrick Pfreundschuh authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

2024

Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned.

Marco Tranzatto, Mihir Dharmadhikari, Lukas Bernreiter, Marco Camurri, Shehryar Khattak, Frank Mascarich, Patrick Pfreundschuh, David Wisth, Samuel Zimmermann, Mihir Kulkarni, Victor Reijgwart, Benoit Casseau, Timon Homberger, Paolo De Petris, Lionel Ott, Wayne Tubby, Gabriel Waibel, Huan Nguyen, Cesar Cadena, Russell Buchanan, Lorenz Wellhausen, Nikhil Khedekar, Olov Andersson, Lintong Zhang, Takahiro Miki, Tung Dang, Matías Mattamala, Markus Montenegro, Konrad Meyer, Xiangyu Wu, Adrien Briod, Mark W. Mueller, Maurice F. Fallon, Roland Siegwart, Marco Hutter, Kostas Alexis

Field Robotics, 2024

Informed, Constrained, Aligned: A Field Analysis on Degeneracy-aware Point Cloud Registration in the Wild.

Turcan Tuna, Julian Nubert, Patrick Pfreundschuh, Cesar Cadena, Shehryar Khattak, Marco Hutter

CoRR, 2024

A Robust Baro-Radar-Inertial Odometry M-Estimator for Multicopter Navigation in Cities and Forests.

Rik Girod, Marco Hauswirth, Patrick Pfreundschuh, Mariano Biasio, Roland Siegwart

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2024

COIN-LIO: Complementary Intensity-Augmented LiDAR Inertial Odometry.

Patrick Pfreundschuh, Helen Oleynikova, César Cadena, Roland Siegwart, Olov Andersson

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

TULIP: Transformer for Upsampling of LiDAR Point Clouds.

Bin Yang, Patrick Pfreundschuh, Roland Siegwart, Marco Hutter, Peyman Moghadam, Vaishakh Patil

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Dynablox: Real-Time Detection of Diverse Dynamic Objects in Complex Environments.

Lukas Schmid, Olov Andersson, Aurelio Sulser, Patrick Pfreundschuh, Roland Siegwart

IEEE Robotics Autom. Lett., October, 2023

TULIP: Transformer for Upsampling of LiDAR Point Cloud.

Bin Yang, Patrick Pfreundschuh, Roland Siegwart, Marco Hutter, Peyman Moghadam, Vaishakh Patil

CoRR, 2023

Resilient Terrain Navigation with a 5 DOF Metal Detector Drone.

Patrick Pfreundschuh, Rik Bähnemann, Tim Kazik, Thomas Mantel, Roland Siegwart, Olov Andersson

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2021

Dynamic Object Aware LiDAR SLAM based on Automatic Generation of Training Data.

Patrick Pfreundschuh, Hubertus Franciscus Cornelis Hendrikx, Victor Reijgwart, Renaud Dubé, Roland Siegwart, Andrei Cramariuc

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

MOZARD: Multi-Modal Localization for Autonomous Vehicles in Urban Outdoor Environments.

Lukas Schaupp, Patrick Pfreundschuh, Mathias Bürki, Cesar Cadena, Roland Siegwart, Juan I. Nieto

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020