2 papers
cs.RO2026
Environment-Aware Learning of Smooth GNSS Covariance Dynamics for Autonomous Racing
Y. Deemo Chen, Arion Zimmermann, Thomas A. Berrueta +1
Ensuring accurate and stable state estimation is a challenging task crucial to safety-critical domains such as high-speed autonomous racing, where measurement uncertainty must be b…
cs.CV2025
COFFEE: A Shadow-Resilient Real-Time Pose Estimator for Unknown Tumbling Asteroids using Sparse Neural Networks
Arion Zimmermann, Soon-Jo Chung, Fred Hadaegh
The accurate state estimation of unknown bodies in space is a critical challenge with applications ranging from the tracking of space debris to the shape estimation of small bodies…