5 papers
On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation
Raul de Queiroz Mendes, Eduardo Godinho Ribeiro, Nicolas dos Santos Rosa +1
Inferring the depth of images is a fundamental inverse problem within the field of Computer Vision since depth information is obtained through 2D images, which can be generated fro…
Real-Time Deep Learning Approach to Visual Servo Control and Grasp Detection for Autonomous Robotic Manipulation
Eduardo Godinho Ribeiro, Raul de Queiroz Mendes, Valdir Grassi
In order to explore robotic grasping in unstructured and dynamic environments, this work addresses the visual perception phase involved in the task. This phase involves the process…
Sparse-to-Continuous: Enhancing Monocular Depth Estimation using Occupancy Maps
Nícolas Rosa, Vitor Guizilini, Valdir Grassi
This paper addresses the problem of single image depth estimation (SIDE), focusing on improving the quality of deep neural network predictions. In a supervised learning scenario, t…
Robust path-following control for articulated heavy-duty vehicles
Filipe Marques Barbosa, Lucas Barbosa Marcos, Maira Martins da Silva +2
Path following and lateral stability are crucial issues for autonomous vehicles. Moreover, these problems increase in complexity when handling articulated heavy-duty vehicles due t…
Learning to Race through Coordinate Descent Bayesian Optimisation
Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott +3
In the automation of many kinds of processes, the observable outcome can often be described as the combined effect of an entire sequence of actions, or controls, applied throughout…