10 citations · 11 across the 9 of their papers we have counts for
9 papers
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…
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…
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…
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…
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…
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…
Double Critic Deep Reinforcement Learning for Mapless 3D Navigation of Unmanned Aerial Vehicles
Ricardo Bedin Grando, Junior Costa de Jesus, Victor Augusto Kich +2
This paper presents a novel deep reinforcement learning-based system for 3D mapless navigation for Unmanned Aerial Vehicles (UAVs). Instead of using a image-based sensing approach,…
Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition
Ricardo Bedin Grando, Junior Costa de Jesus, Victor Augusto Kich +5
Since the application of Deep Q-Learning to the continuous action domain in Atari-like games, Deep Reinforcement Learning (Deep-RL) techniques for motion control have been qualitat…
Single Image Restoration for Participating Media Based on Prior Fusion
Joel D. O. Gaya, Felipe Codevilla, Amanda C. Duarte +2
This paper describes a method to restore degraded images captured in a participating media -- fog, turbid water, sand storm, etc. Differently from the related work that only deal w…