73 citations · 88 across the 7 of their papers we have counts for
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cs.CV2023★ 1 cited
Loss it right: Euclidean and Riemannian Metrics in Learning-based Visual Odometry
Olaya Álvarez-Tuñón, Yury Brodskiy, Erdal Kayacan
This paper overviews different pose representations and metric functions in visual odometry (VO) networks. The performance of VO networks heavily relies on how their architecture e…
cs.RO2023★ 2 cited
UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-generation Framework
Abdelhakim Amer, Olaya Álvarez-Tuñón, Halil Ibrahim Ugurlu +3
Underwater robotic surveys can be costly due to the complex working environment and the need for various sensor modalities. While underwater simulators are essential, many existing…