Denis Fernando Wolf — accepted AI-conference papers

2016

Exploiting fully convolutional neural networks for fast road detection

Caio César Teodoro Mendes, Vincent Frémont, Denis Fernando Wolf

ICRA 2016

Road detection is a crucial task in autonomous navigation systems. It is responsible for delimiting the road area and hence the free and valid space for maneuvers. In this paper, we consider the visual road detection problem where, given an image, the objective is to classify every of its pixels int

Cited by 114 Source ↗Scholar ↗

2016

Route planning for active classification with UAVs

Kelen Cristiane Teixeira Vivaldini, Vitor Campanholo Guizilini, Matheus Della Croce Oliveira, Thiago H. Martinelli, Denis Fernando Wolf, Fabio Tozeto Ramos

ICRA 2016

The mapping of agricultural crops by capturing images obtained with UAVs enables fast environmental monitoring and diagnosis in large areas. Airborne monitoring in agriculture can a substantially impacts on the identification of diseases and produce accurate information on affected areas. The proble

Cited by 13 Source ↗Scholar ↗