activity
20152020
most citedSafely Optimizing Highway Traffic with Robust Model Predictive Control-based Cooperative Adaptive Cruise Control

99 citations · 150 across the 13 of their papers we have counts for

collaborators

14 papers

eess.SY2020★ 1 cited

Tube-based Guaranteed Cost Robust Model Predictive Control for Linear Systems Subject to Parametric Uncertainties

Carlos M. Massera, Marco H. Terra, Denis F. Wolf

We propose a tube-based guaranteed cost model predictive controller considering a homothetic formulation for constrained linear systems subject to multiplicative structured norm-bo…

eess.SY2020★ 2 cited

Tube-based Guaranteed Cost Model Predictive Control Applied to Autonomous Driving Up to the Limits of Handling

Carlos M. Massera, Tiago C. dos Santos, Marco H. Terra +1

The development of control techniques to maintain vehicle stability under possible loss-of-control scenarios is essential to the safe deployment of autonomous ground vehicles in pu…

cs.RO2020★ 11 cited

A Software Architecture for Autonomous Vehicles: Team LRM-B Entry in the First CARLA Autonomous Driving Challenge

Luis Alberto Rosero, Iago Pacheco Gomes, Júnior Anderson Rodrigues da Silva +5

The objective of the first CARLA autonomous driving challenge was to deploy autonomous driving systems to lead with complex traffic scenarios where all participants faced the same…

cs.CV2020★ 3 cited

Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function

Thomio Watanabe, Denis F. Wolf

Deep Convolutional Neural Networks are able to identify complex patterns and perform tasks with super-human capabilities. However, besides the exceptional results, they are not com…

cs.CV2019

Environment reconstruction on depth images using Generative Adversarial Networks

Lucas P. N. Matias, Jefferson R. Souza, Denis F. Wolf

Robust perception systems are essential for autonomous vehicle safety. To navigate in a complex urban environment, it is necessary precise sensors with reliable data. The task of u…

cs.CV2019

Instance Segmentation as Image Segmentation Annotation

Thomio Watanabe, Denis Wolf

The instance segmentation problem intends to precisely detect and delineate objects in images. Most of the current solutions rely on deep convolutional neural networks but despite…