Search Results for author: Jonas Frey

Found 10 papers, 3 papers with code

Learning with 3D rotations, a hitchhiker's guide to SO(3)

1 code implementation17 Apr 2024 A. René Geist, Jonas Frey, Mikel Zobro, Anna Levina, Georg Martius

Many settings in machine learning require the selection of a rotation representation.

Wild Visual Navigation: Fast Traversability Learning via Pre-Trained Models and Online Self-Supervision

no code implementations10 Apr 2024 Matías Mattamala, Jonas Frey, Piotr Libera, Nived Chebrolu, Georg Martius, Cesar Cadena, Marco Hutter, Maurice Fallon

Natural environments such as forests and grasslands are challenging for robotic navigation because of the false perception of rigid obstacles from high grass, twigs, or bushes.

Navigate Self-Supervised Learning +1

RoadRunner - Learning Traversability Estimation for Autonomous Off-road Driving

no code implementations29 Feb 2024 Jonas Frey, Shehryar Khattak, Manthan Patel, Deegan Atha, Julian Nubert, Curtis Padgett, Marco Hutter, Patrick Spieler

Furthermore, RoadRunner improves the system latency by a factor of roughly 4, from 500 ms to 140 ms, while improving the accuracy for traversability costs and elevation map predictions.

Autonomous Driving Autonomous Navigation +1

Resilient Legged Local Navigation: Learning to Traverse with Compromised Perception End-to-End

no code implementations5 Oct 2023 Jin Jin, Chong Zhang, Jonas Frey, Nikita Rudin, Matias Mattamala, Cesar Cadena, Marco Hutter

In this paper, we model perception failures as invisible obstacles and pits, and train a reinforcement learning (RL) based local navigation policy to guide our legged robot.

Anomaly Detection Navigate +1

MEM: Multi-Modal Elevation Mapping for Robotics and Learning

1 code implementation28 Sep 2023 Gian Erni, Jonas Frey, Takahiro Miki, Matias Mattamala, Marco Hutter

Elevation maps are commonly used to represent the environment of mobile robots and are instrumental for locomotion and navigation tasks.

Colorization Human Detection +1

Fast Traversability Estimation for Wild Visual Navigation

no code implementations15 May 2023 Jonas Frey, Matias Mattamala, Nived Chebrolu, Cesar Cadena, Maurice Fallon, Marco Hutter

We demonstrate the advantages of our approach with experiments and ablation studies in challenging environments in forests, parks, and grasslands.

Navigate Self-Supervised Learning +1

Unsupervised Continual Semantic Adaptation through Neural Rendering

1 code implementation CVPR 2023 Zhizheng Liu, Francesco Milano, Jonas Frey, Roland Siegwart, Hermann Blum, Cesar Cadena

Due to the mismatch between training and deployment data, adapting the model on the new scenes is often crucial to obtain good performance.

Neural Rendering Segmentation +3

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