activity
20212026
most citedUIVNAV: Underwater Information-driven Vision-based Navigation via Imitation Learning

10 citations · 13 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2026

CAVE-NAV: VLM-Based Autonomous 3D Navigation in Underwater Cave Environments

Zhenqi Wu, Yuanjie Lu, Yisheng Zhang +4

Autonomous navigation in underwater cave environments is essential for search-and-rescue operations, scientific exploration, and emergency egress. Traditional navigation systems co…

cs.RO2026

Sonar-GPS Fusion for Seabed Mapping in Turbid Shallow Waters with an Autonomous Surface Vehicle

Yisheng Zhang, Michael Xu, Alan Williams +3

Accurate seabed mapping is essential for habitat monitoring and infrastructure inspection. In turbid, shallow coastal waters, such as shellfish aquaculture farms, the effectiveness…

eess.IV2024★ 3 cited

Performance Assessment of Feature Detection Methods for 2-D FS Sonar Imagery

Hitesh Kyatham, Shahriar Negahdaripour, Michael Xu +3

Underwater robot perception is crucial in scientific subsea exploration and commercial operations. The key challenges include non-uniform lighting and poor visibility in turbid env…

cs.RO2023★ 10 cited

UIVNAV: Underwater Information-driven Vision-based Navigation via Imitation Learning

Xiaomin Lin, Nare Karapetyan, Kaustubh Joshi +5

Autonomous navigation in the underwater environment is challenging due to limited visibility, dynamic changes, and the lack of a cost-efficient accurate localization system. We int…

cs.RO2021

Detecting and Counting Oysters

Behzad Sadrfaridpour, Yiannis Aloimonos, Miao Yu +2

Oysters are an essential species in the Chesapeake Bay living ecosystem. Oysters are filter feeders and considered the vacuum cleaners of the Chesapeake Bay that can considerably i…