1 resultado para skill combinations
em Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP)
Filtro por publicador
- Aberystwyth University Repository - Reino Unido (1)
- Academic Research Repository at Institute of Developing Economies (4)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- Aquatic Commons (5)
- Archive of European Integration (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (1)
- Aston University Research Archive (12)
- B-Digital - Universidade Fernando Pessoa - Portugal (1)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (4)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (22)
- Boston University Digital Common (2)
- Brock University, Canada (2)
- Bulgarian Digital Mathematics Library at IMI-BAS (1)
- Cambridge University Engineering Department Publications Database (3)
- CentAUR: Central Archive University of Reading - UK (40)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (14)
- Cochin University of Science & Technology (CUSAT), India (3)
- Coffee Science - Universidade Federal de Lavras (2)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (2)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- Dalarna University College Electronic Archive (2)
- Deakin Research Online - Australia (92)
- Digital Commons - Michigan Tech (2)
- Digital Commons at Florida International University (5)
- DigitalCommons - The University of Maine Research (1)
- DigitalCommons@The Texas Medical Center (1)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (1)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (1)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (6)
- Fachlicher Dokumentenserver Paedagogik/Erziehungswissenschaften (1)
- Helda - Digital Repository of University of Helsinki (5)
- Indian Institute of Science - Bangalore - Índia (8)
- Massachusetts Institute of Technology (5)
- Ministerio de Cultura, Spain (4)
- National Center for Biotechnology Information - NCBI (2)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (4)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (44)
- Queensland University of Technology - ePrints Archive (498)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (3)
- Repositorio de la Universidad de Cuenca (2)
- Repositório digital da Fundação Getúlio Vargas - FGV (7)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (14)
- Repositorio Institucional UNISALLE - Colombia (1)
- Research Open Access Repository of the University of East London. (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (1)
- School of Medicine, Washington University, United States (4)
- Universidad Autónoma de Nuevo León, Mexico (1)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (4)
- Université de Lausanne, Switzerland (2)
- Université de Montréal, Canada (3)
- University of Canberra Research Repository - Australia (1)
- University of Michigan (42)
- University of Queensland eSpace - Australia (32)
- University of Southampton, United Kingdom (7)
- University of Washington (2)
- WestminsterResearch - UK (1)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
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 can be traversed and parts that should be avoided. This paper describes an analyses of terrain identification based on different visual information using a MLP artificial neural network and combining responses of many classifiers. Experimental tests using a vehicle and a video camera have been conducted in real scenarios to evaluate the proposed approach.