6 papers
Cross domain Persistent Monitoring for Hybrid Aerial Underwater Vehicles
Ricardo B. Grando, Victor A. Kich, Alisson H. Kolling +3
Hybrid Unmanned Aerial Underwater Vehicles (HUAUVs) have emerged as platforms capable of operating in both aerial and underwater environments, enabling applications such as inspect…
Sonar Image Datasets: A Comprehensive Survey of Resources, Challenges, and Applications
Larissa S. Gomes, Gustavo P. Almeida, Bryan U. Moreira +6
Sonar images are relevant for advancing underwater exploration, autonomous navigation, and ecosystem monitoring. However, the progress depends on data availability. The scarcity of…
AquaFeat: A Features-Based Image Enhancement Model for Underwater Object Detection
Emanuel C. Silva, Tatiana T. Schein, Stephanie L. Brião +7
The severe image degradation in underwater environments impairs object detection models, as traditional image enhancement methods are often not optimized for such downstream tasks.…
Synthetic Enclosed Echoes: A New Dataset to Mitigate the Gap Between Simulated and Real-World Sonar Data
Guilherme de Oliveira, Matheus M. dos Santos, Paulo L. J. Drews-Jr
This paper introduces Synthetic Enclosed Echoes (SEE), a novel dataset designed to enhance robot perception and 3D reconstruction capabilities in underwater environments. SEE compr…
UDBE: Unsupervised Diffusion-based Brightness Enhancement in Underwater Images
Tatiana Taís Schein, Gustavo Pereira de Almeira, Stephanie Loi Brião +3
Activities in underwater environments are paramount in several scenarios, which drives the continuous development of underwater image enhancement techniques. A major challenge in t…
Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Deep Reinforcement Learning Through Environmental Generalization
Ricardo B. Grando, Junior C. de Jesus, Victor A. Kich +3
Previous works showed that Deep-RL can be applied to perform mapless navigation, including the medium transition of Hybrid Unmanned Aerial Underwater Vehicles (HUAUVs). This paper…