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pro vyhledávání: '"Luis Alberto Rosero"'
Autor:
Luis Alberto Rosero, Iago Pachêco Gomes, Júnior Anderson Rodrigues da Silva, Carlos André Przewodowski, Denis Fernando Wolf, Fernando Santos Osório
Publikováno v:
Sensors, Vol 24, Iss 7, p 2097 (2024)
Autonomous driving navigation relies on diverse approaches, each with advantages and limitations depending on various factors. For HD maps, modular systems excel, while end-to-end methods dominate mapless scenarios. However, few leverage the strength
Externí odkaz:
https://doaj.org/article/f37c4901884b4423a41458dfaefe0e1e
Autor:
Luis Alberto Rosero Rosero
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USPUniversidade de São PauloUSP.
Este projeto de mestrado visa a pesquisa e o desenvolvimento de métodos e algoritmos, relacionados ao uso de radares, visão computacional, calibração e fusão de sensores em veículos autônomos/inteligentes para fazer a detecção de obstáculos
Autor:
Rosero, Luis Alberto Rosero
Este projeto de mestrado visa a pesquisa e o desenvolvimento de métodos e algoritmos, relacionados ao uso de radares, visão computacional, calibração e fusão de sensores em veículos autônomos/inteligentes para fazer a detecção de obstáculos
Publikováno v:
LARS/SBR
This article proposes a method for sensor calibration and obstacle detection in urban environments. The radar and 3D LIDAR were calibrated with relation to a stereo camera. Data from the radar, 3D LIDAR and stereo camera sensors were fused for the de
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)
Autor:
Francisco A.R. Alencar, Denis F. Wolf, Luis Alberto Rosero, Fernando Santos Osório, Carlos Massera Filho
Publikováno v:
2015 12th Latin American Robotics Symposium and 2015 3rd Brazilian Symposium on Robotics (LARS-SBR).
This article proposes a system that fuses radar and monocular vision sensor data in order to detect and classify on-road obstacles, like cars or not cars (other obstacles). The obstacle detection process and classification is divided into three stage
Autor:
Tiago C. dos Santos, Andrés E. Gómez, Carlos Massera Filho, Luis Alberto Rosero, Fernando Santos Osório, Diego Gomes, Juan C. Perafan, Denis F. Wolf
Publikováno v:
2015 12th Latin American Robotics Symposium and 2015 3rd Brazilian Symposium on Robotics (LARS-SBR).
Cooperative driving systems are a possible solution to improve traffic efficiency, road safety and even reduce the emission of pollutants, but there are several problems relating to aspects of safety, cost, duration and feasibility that slow down the