Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Vinicius B. Cardoso"'
Autor:
Thiago Oliveira-Santos, Renan Sarcinelli, Thiago M. Paixão, Rodrigo F. Berriel, Pedro Azevedo, Claudine Badue, Alberto F. De Souza, Rânik Guidolini, Vinicius B. Cardoso
Publikováno v:
Computers & Graphics. 84:173-184
The development of intelligent autonomous cars is of great interest. A particular and challenging problem is to handle pedestrians, for example, crossing or walking along the road. Since pedestrians are one of the most fragile elements in traffic, a
Autor:
Claudine Badue, Alberto F. De Souza, Vinicius B. Cardoso, Filipe Mutz, Thiago Oliveira-Santos, Raphael V. Carneiro, Sabrina S. Panceri
Publikováno v:
IJCNN
Breast cancer cases are steadily increasing over the years. To improve the chances of a successful treatment, it is essential to diagnose and treat lesions in the initial stages. Screening methods, such as mammography, are one of the most effective s
Autor:
Alberto F. De Souza, Rânik Guidolini, Gabriel Moraes, Vinicius B. Cardoso, Thiago Oliveira-Santos, Anderson Mozart, Claudine Badue
Publikováno v:
ICINCO
Autor:
Thiago Oliveira-Santos, Anderson Mozart, Alberto F. De Souza, Gabriel Moraes, Pedro Azevedo, Vinicius B. Cardoso, Marcos Piumbini, Claudine Badue
Publikováno v:
IJCNN
We propose an image-based real-time path planner for the self-driving car IARA, named DeepPath. DeepPath uses a CNN for inferring paths from images. During the self-driving car operation, DeepPath receives an image and the current car pose. Then, it
Autor:
Sabrina S. Panceri, Ranik Guidolini, Alberto F. De Souza, Vinicius B. Cardoso, Thiago Oliveira-Santos, Pedro Azevedo, Claudine Badue
Publikováno v:
IJCNN
We propose a bio-inspired foveated technique to detect cars in a long range camera view using a deep convolutional neural network (DCNN) for the IARA self-driving car. The DCNN receives as input (i) an image, which is captured by a camera installed o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc55f7519431fafb453a9fe57642f8e4
http://arxiv.org/abs/1910.00944
http://arxiv.org/abs/1910.00944
Autor:
Lucas C. Possatti, Thiago Oliveira-Santos, Alberto F. De Souza, Ranik Guidolini, Vinicius B. Cardoso, Rodrigo F. Berriel, Claudine Badue, Thiago M. Paixão
Publikováno v:
IJCNN
Autonomous terrestrial vehicles must be capable of perceiving traffic lights and recognizing their current states to share the streets with human drivers. Most of the time, human drivers can easily identify the relevant traffic lights. To deal with t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9185f66340c95f320ae59c846f6f8333
http://arxiv.org/abs/1906.11886
http://arxiv.org/abs/1906.11886
Autor:
Filipe Mutz, Alberto F. De Souza, Vinicius B. Cardoso, Rânik Guidolini, Luan F. R. Jesus, Lucas de Paula Veronese, Thiago Oliveira-Santos, Raphael V. Carneiro, Avelino Forechi, Rodrigo F. Berriel, Claudine Badue, Pedro Azevedo, Thiago M. Paixão
Publikováno v:
Expert Systems with Applications. 165:113816
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 that can be categorized as SAE level 3 or higher. The architecture of the
Autor:
Ranik Guidolini, Lucas G. Scart, Claudine Badue, Luan F. R. Jesus, Thiago Oliveira-Santos, Vinicius B. Cardoso
Publikováno v:
IJCNN
In this work, we propose a subsystem to handle pedestrians in crosswalks using deep neural networks for the IARA autonomous car, which relies on camera and LIDAR data fusion. Crosswalks’ positions were manually annotated in IARA’s map. Pedestrian
Autor:
Alberto F. De Souza, Vinicius B. Cardoso, Thiago Oliveira-Santos, Ranik Guidolini, Lucas Tabelini Torres, Claudine Badue, Rodrigo F. Berriel
Publikováno v:
IJCNN
Advanced Driver Assistance Systems (ADAS) have experienced major advances in the past few years. The main objective of ADAS includes keeping the vehicle in the correct road direction, and avoiding collision with other vehicles or obstacles around. In
Autor:
Vinicius B. Cardoso, Ranik Guidolini, Alberto F. De Souza, Claudine Badue, Thiago Oliveira-Santos, Raphael V. Carneiro, Rafael C. Nascimento
Publikováno v:
IJCNN
We propose the use of deep neural networks (DNN) for solving the problem of inferring the position and relevant properties of lanes of urban roads with poor or absent horizontal signalization, in order to allow the operation of autonomous cars in suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09225d64ef54b416602498d106176fd5