5 accepted papers
Differentiable Gaussian Splatting (GS) has emerged as a powerful paradigm for scene representation, enabling efficient rendering and real-time editing. However, existing GS-based methods, which rely mainly on clear visual images, perform poorly in underwater environments due to camera distortions su…
Forward-looking sonar is essential for underwater perception especially in turbid waters, yet its images are often strongly degraded by various noises, including speckle, sidelobe, and structural noises, which severely hinder downstream tasks such as underwater reconstruction, positioning, and navig…
Active visual tracking of underwater non-cooperative targets is a challenging task for autonomous underwater vehicles (AUVs) due to the complexity of underwater environments and the unpredictable dynamics of target motion. To address this challenge, this paper proposes UTracker, a novel framework fo
Differentiable Gaussian Splatting (GS) has emerged as a powerful paradigm for scene representation, enabling efficient rendering and real-time editing. However, existing GS-based methods, which rely mainly on clear visual images, perform poorly in underwater environments due to camera distortions su
Effective 3D reconstruction utilizing imaging sonars is vital for underwater robots, particularly in turbid water conditions. The absence of elevation angles in acoustic echo measurements significantly slows down the Neural Radiance Field (NeRF) method. This is attributed to the differentiable rende