Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Lucas de Paula Veronese"'
Autor:
Lucas de Paula Veronese, Filipe Mutz, Alberto F. De Souza, Edilson de Aguiar, Thiago Oliveira-Santos, Jose Guivant, Claudine Badue, Fernando Auat-Cheein
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 22:1449-1458
In general, proposed solutions for LiDAR-based localization used in autonomous cars require expensive sensors and computationally expensive mapping processes. Moreover, the global localization for autonomous driving is converging to the use of maps.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::664015475389da3fb0e0ffb0794d5596
https://doi.org/10.1109/tits.2020.2971054
https://doi.org/10.1109/tits.2020.2971054
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e681d88462ec04a5ffdaedd789cda5c4
https://doi.org/10.1016/j.eswa.2020.113816
https://doi.org/10.1016/j.eswa.2020.113816
Autor:
Filipe Mutz, Thiago Oliveira-Santos, Fernando Auat Cheein, Alberto F. De Souza, Edilson de Aguiar, Lucas de Paula Veronese
Publikováno v:
Expert Systems with Applications
Artículos CONICYT
CONICYT Chile
instacron:CONICYT
Artículos CONICYT
CONICYT Chile
instacron:CONICYT
We present a mapping system for large-scale environments with changing features.We describe in a high level of detail a mapping algorithm for 3D-LiDAR.G-ICP was used for loop closure displacement calculation in GraphSLAM.Experiments were made with an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::533ed992e388a3d9c0e4243e24ffbbe5
https://doi.org/10.1016/j.eswa.2015.10.045
https://doi.org/10.1016/j.eswa.2015.10.045
Autor:
Teodiano Bastos-Filho, Lucas de Paula Veronese, Alberto FerreiraźDeźSouza, Fernando AuatźCheein, Edilson de Aguiar
Publikováno v:
Journal of Field Robotics. 33:946-966
Localization and tracking of vehicles is still an important issue in GPS-denied environments both indoors and outdoors, where accurate motion is required. In this work, a localization system based on the random disposition of LiDAR sensors which shar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9d563ac3e65e8649333532aa63e6f90
https://doi.org/10.1002/rob.21594
https://doi.org/10.1002/rob.21594
Autor:
Vinicius B. Cardoso, Lucas de Paula Veronese, Thomas Teixeira, Alberto F. De Souza, Josias Oliveira, Claudine Badue, Filipe Mutz, Thiago Oliveira-Santos
Publikováno v:
ICRA
We present the Model-Predictive Motion Planner (MPMP) of the Intelligent Autonomous Robotic Automobile (IARA). IARA is a fully autonomous car that uses a path planner to compute a path from its current position to the desired destination. Using this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f425f89a7b09accdb39382c5f09c1933
https://doi.org/10.1109/icra.2017.7989028
https://doi.org/10.1109/icra.2017.7989028
Autor:
Alberto F. De Souza, Claudine Badue, Lucas de Paula Veronese, Ranik Guidolini, Mariella Berger
Publikováno v:
ITSC
We present a simple yet effective obstacle avoider for the Intelligent and Autonomous Robotic Automobile (IARA). At each or several motion planning cycles, the IARA's obstacle avoider firstly receives as input an updated map of the environment around
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1559b39c3d044b5a834f1107be2529e2
https://doi.org/10.1109/itsc.2016.7795866
https://doi.org/10.1109/itsc.2016.7795866
Autor:
Filipe Mutz, Jose Guivant, Claudine Badue, Thiago Oliveira-Santos, Fernando Auat Cheein, Lucas de Paula Veronese, Alberto F. De Souza, Edilson de Aguiar
Publikováno v:
ITSC
We propose a light-weight yet accurate localization system for autonomous cars that operate in large-scale and complex urban environments. It provides appropriate localization accuracy and processing time at high frequency suitable for fast control a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4e472bbb323a72a4f890a7674d3597d
https://doi.org/10.1109/itsc.2016.7795604
https://doi.org/10.1109/itsc.2016.7795604
Autor:
Lucas de Paula Veronese, Felipe Pedroni, Wallace Favoreto Henrique, Alberto F. De Souza, Claudine Badue, Patrick Marques Ciarelli, Elias Oliveira
Publikováno v:
Neurocomputing. 72:2209-2217
In automated multi-label text categorization, an automatic categorization system should output a label set, whose size is unknown a priori, for each document under analysis. Many machine learning techniques have been used for building such automatic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b034896b4faa157b80f887b5890247b0
https://doi.org/10.1016/j.neucom.2008.06.028
https://doi.org/10.1016/j.neucom.2008.06.028
Autor:
Lucas de Paula Veronese, Alberto F. De Souza, Edilson de Aguiar, Thiago Oliveira-Santos, Rafael C. Nascimento, Jose Guivant, Fernando Auat Cheein
Publikováno v:
IROS
Vehicle localization in large-scale urban environments has been commonly addressed as a map-matching problem in the literature. Generally, the maps are 2D images of the world where each pixel covers a part of it. However, building maps for large-scal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bfff1f39352e672fed211dc0514cda0
https://doi.org/10.1109/iros.2015.7353984
https://doi.org/10.1109/iros.2015.7353984
Autor:
Thiago Oliveira-Santos, Lucas de Paula Veronese, Avelino Forechi, Lauro Jose Lyrio Junior, Claudine Badue, Alberto F. De Souza
Publikováno v:
IJCNN
Mapping and localization are fundamental problems in autonomous robotics. Autonomous robots need to know where they are in their area of operation to navigate through it and to perform activities of interest. In this paper, we propose an Image-Based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f960ff58951025caa48cfbd1984a9c17
https://doi.org/10.1109/ijcnn.2014.6889888
https://doi.org/10.1109/ijcnn.2014.6889888