activity
20182026
most citedImproved Fourier Mellin Invariant for Robust Rotation Estimation with Omni-cameras

10 citations · 18 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2026

Towards Multi-Object-Tracking with Radar on a Fast Moving Vehicle: On the Potential of Processing Radar in the Frequency Domain

Tim Hansen, Arturo Gomez-Chavez, Ilya Shimchik +1

We promote in this paper the processing of radar data in the frequency domain to achieve higher robustness against noise and structural errors, especially in comparison to feature-…

cs.RO2019

Adaptive Navigation Scheme for Optimal Deep-Sea Localization Using Multimodal Perception Cues

Arturo Gomez Chavez, Qingwen Xu, Christian A. Mueller +2

Underwater robot interventions require a high level of safety and reliability. A major challenge to address is a robust and accurate acquisition of localization estimates, as it is…

cs.RO2018★ 10 cited

Improved Fourier Mellin Invariant for Robust Rotation Estimation with Omni-cameras

Qingwen Xu, Arturo Gomez Chavez, Heiko Bülow +2

Spectral methods such as the improved Fourier Mellin Invariant (iFMI) transform have proved faster, more robust and accurate than feature based methods on image registration. Howev…

cs.RO2018★ 1 cited

Robust Gesture-Based Communication for Underwater Human-Robot Interaction in the context of Search and Rescue Diver Missions

Arturo Gomez Chavez, Christian A. Mueller, Tobias Doernbach +2

We propose a robust gesture-based communication pipeline for divers to instruct an Autonomous Underwater Vehicle (AUV) to assist them in performing high-risk tasks and helping in c…

cs.CV2018

CADDY Underwater Stereo-Vision Dataset for Human-Robot Interaction (HRI) in the Context of Diver Activities

Arturo Gomez Chavez, Andrea Ranieri, Davide Chiarella +3

In this article we present a novel underwater dataset collected from several field trials within the EU FP7 project "Cognitive autonomous diving buddy (CADDY)", where an Autonomous…

cs.RO2018★ 7 cited

Robust Continuous System Integration for Critical Deep-Sea Robot Operations Using Knowledge-Enabled Simulation in the Loop

Christian A. Mueller, Tobias Doernbach, Arturo Gomez Chavez +2

Deep-sea robot operations demand a high level of safety, efficiency and reliability. As a consequence, measures within the development stage have to be implemented to extensively e…