9 citations · 9 across the 2 of their papers we have counts for
4 papers
Data-driven Full-waveform Inversion Surrogate using Conditional Generative Adversarial Networks
Saraiva Marcus, Forechi Avelino, de Oliveira Neto Jorcy +2
In the Oil and Gas industry, estimating a subsurface velocity field is an essential step in seismic processing, reservoir characterization, and hydrocarbon volume calculation. Full…
What is the Best Grid-Map for Self-Driving Cars Localization? An Evaluation under Diverse Types of Illumination, Traffic, and Environment
Filipe Mutz, Thiago Oliveira-Santos, Avelino Forechi +4
The localization of self-driving cars is needed for several tasks such as keeping maps updated, tracking objects, and planning. Localization algorithms often take advantage of maps…
Self-Driving Cars: A Survey
Claudine Badue, Rânik Guidolini, Raphael Vivacqua Carneiro +10
We survey research on self-driving cars published in the literature focusing on autonomous cars developed since the DARPA challenges, which are equipped with an autonomy system tha…
Visual Global Localization with a Hybrid WNN-CNN Approach
Avelino Forechi, Thiago Oliveira-Santos, Claudine Badue +1
Currently, self-driving cars rely greatly on the Global Positioning System (GPS) infrastructure, albeit there is an increasing demand for alternative methods for GPS-denied environ…