Uma técnica híbrida para geração de rotas em espaço geográfico com obstáculos.

• Ano de defesa: 2012
• Autor(a) principal: Picanço, Angelo Furtado
• Orientador(a): Bernardo Filho, Orlando
• Banca de defesa: Farias, Oscar Luiz Monteiro de , Silva, Eduardo Bezerra da
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade do Estado do Rio de Janeiro
• Programa de Pós-Graduação: Programa de Pós-Graduação em Engenharia da Computação
• Departamento: Centro de Tecnologia e Ciências::Instituto Politécnico
• País: BR
• Palavras-chave em Português: Engenharia da Computação; Engenharia de software; Sistemas baseados em agentes; Lógica nebulosa; Planejamento de rotas em robótica; Sistema de Informações Geográficas; SIG
• Palavras-chave em Inglês: Computer Engineering; Software engineering; Systems-based agents; Fuzzy logic; Route planning in robotics; Geographic Information System; GIS
• Área do conhecimento CNPq: CNPQ::ENGENHARIAS
• Link de acesso: http://www.bdtd.uerj.br/handle/1/10833

This research is placed in the field of Geomatics and focuses more specifically on the study of methods for exploration and route selection in geographic areas without prior definition of trafficable roads. Activities that could benefit from such studies are embedded in areas of engineering, logistics and robotics. This study aimed to develop a computational model able to select information from a terrain, explore a lot of viable routes and select those routes that offer the best possible path between two points on a map. It was built a system from the proposed computational model to validate its effectiveness and applicability in different case studies. For this system to be built concepts of agent-based systems, fuzzy logic and route planning in robotics were combined. The information about land were organized, presented and consumed by the system created using digital maps. All features of the system were built using open source. As a result, this research provides an efficient system for the study, planning or route simulation on digital maps, using a fuzzy inference module applied to the classification of routes and a module to operate routes based on autonomous agents. The perspective for future applications using the computational model presented in this study is quite comprehensive. It is believed that from the results, this system can help reduce costs and automate equipment in various human activities.