activity
20212023
most citedUnderwater enhancement based on a self-learning strategy and attention mechanism for high-intensity regions

1 citations · 1 across the 8 of their papers we have counts for

collaborators

8 papers

cs.RO2023

Parallel Distributional Prioritized Deep Reinforcement Learning for Unmanned Aerial Vehicles

Alisson Henrique Kolling, Victor Augusto Kich, Junior Costa de Jesus +4

This work presents a study on parallel and distributional deep reinforcement learning applied to the mapless navigation of UAVs. For this, we developed an approach based on the Sof…

cs.CV2023

EvCenterNet: Uncertainty Estimation for Object Detection using Evidential Learning

Monish R. Nallapareddy, Kshitij Sirohi, Paulo L. J. Drews-Jr +3

Uncertainty estimation is crucial in safety-critical settings such as automated driving as it provides valuable information for several downstream tasks including high-level decisi…

cs.CV2023

SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images

Nikhil Gosala, Kürsat Petek, Paulo L. J. Drews-Jr +2

Bird's-Eye-View (BEV) semantic maps have become an essential component of automated driving pipelines due to the rich representation they provide for decision-making tasks. However…

cs.RO2022

Active Perception Applied To Unmanned Aerial Vehicles Through Deep Reinforcement Learning

Matheus G. Mateus, Ricardo B. Grando, Paulo L. J. Drews-Jr

Unmanned Aerial Vehicles (UAV) have been standing out due to the wide range of applications in which they can be used autonomously. However, they need intelligent systems capable o…

cs.RO2022

Deterministic and Stochastic Analysis of Deep Reinforcement Learning for Low Dimensional Sensing-based Navigation of Mobile Robots

Ricardo B. Grando, Junior C. de Jesus, Victor A. Kich +3

Deterministic and Stochastic techniques in Deep Reinforcement Learning (Deep-RL) have become a promising solution to improve motion control and the decision-making tasks for a wide…

eess.IV2022★ 1 cited

Underwater enhancement based on a self-learning strategy and attention mechanism for high-intensity regions

Claudio D. Mello, Bryan U. Moreira, Paulo J. O. Evald +2

Images acquired during underwater activities suffer from environmental properties of the water, such as turbidity and light attenuation. These phenomena cause color distortion, blu…