Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Patrick Y. Shinzato"'
Publikováno v:
LARS/SBR
Obstacle detection and tracking is a fundamental task for several Advanced Driver Assistance Systems (ADAS) and self-driving cars. Several approaches have been presented in the literature in the last years and many of them are based on visual sensors
Autor:
Gustavo Pessin, Jefferson R. Souza, Fernando Santos Osório, Patrick Y. Shinzato, Denis F. Wolf
Publikováno v:
Neurocomputing. 107:77-86
This paper presents a learning-based vehicle control system capable of navigating autonomously. Our approach is based on image processing, road and navigable area recognition, template matching classification for navigation control, and trajectory se
Autor:
Tiago C. dos Santos, Marcos Paulo Batista, Francisco A.R. Alencar, Alberto Yukinobu Hata, Daniela A. Ridel, Luis Alberto Rosero, Carlos M. Massera, Fernando Santos Osório, Patrick Y. Shinzato, Denis F. Wolf
Publikováno v:
ITSC
Road traffic crashes are the leading cause of death among young people between 10 and 24 years old. In recent years, both academia and industry have been devoted towards the development of Driver Assistance Systems (DAS) and Autonomous Vehicles (AV)
Análise De Atributos De Imagem Em Segmentação Baseada Em Blocos Utilizando Redes Neurais Artificiais
Publikováno v:
Anais do 10. Congresso Brasileiro de Inteligência Computacional.
Publikováno v:
Anais do 10. Congresso Brasileiro de Inteligência Computacional.
Autor:
Patrick Y. Shinzato
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
De acordo com a Organização Mundial da Saúde,cerca de 1,2milhões de pessoas no mundo morrem em acidentes de trânsito. Sistemas de assistência ao motorista e veículos autônomos podem diminuir o número de acidentes. Dentre as várias demandas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3d8d11fcf675761dbec9375b93998b3
https://doi.org/10.11606/t.55.2015.tde-07082015-100709
https://doi.org/10.11606/t.55.2015.tde-07082015-100709
Autor:
Patrick Y. Shinzato, Denis F. Wolf, Daniel O. Sales, Jefferson R. Souza, Fernando Santos Osório
Publikováno v:
ACM SIGAPP Applied Computing Review. 11:49-59
Autonomous navigation is a fundamental task in mobile robotics. In the last years, several approaches have been addressing the autonomous navigation in outdoor environments. Lately it has also been extended to robotic vehicles in urban environments.
Autor:
Patrick Y. Shinzato, Denis F. Wolf
Publikováno v:
Journal of Intelligent & Robotic Systems. 62:527-546
Navigation is a broad topic that has been receiving considerable attention from the mobile robotic community over the years. In order to execute autonomous driving in outdoor urban environments it is necessary to identify parts of the terrain that ca
Autor:
Patrick Y. Shinzato, Denis F. Wolf
Publikováno v:
IFAC Proceedings Volumes. 43:306-311
Navigation is a broad topic that has been receiving considerable attention from the mobile robotic community. In order to execute a autonomous driving on outdoors, like street and roads, it is necessary that the vehicle identify parts of the terrain
Publikováno v:
2015 12th Latin American Robotics Symposium and 2015 3rd Brazilian Symposium on Robotics (LARS-SBR).
The detection of obstacles is a fundamental issue in autonomous navigation, as it is the main key for collision prevention. This paper presents a method for the segmentation of general obstacles by stereo vision with no need of dense disparity maps o