Este artigo apresenta a integração de duas metodologias que visam o desenvolvimento das Soft Skills, integrando a metodologia de Aprendizagem Baseada em Projeto (Project Based Learning – PBL) a um método prático para a integração de habilidades e mentalidade inovadora no desenvolvimento de soluções, conhecido por Design Thinking - DT. Esta integração se deu no âmbito de um projeto de intercâmbio internacional com equipes formadas por alunos de países diferentes, oriundos de cursos diversos, com outros idiomas, cultura e base de conhecimento, desenvolvido ao longo de dez semanas. Levar aos alunos a formação em Soft Skills nesta multiplicidade se tornou um desafio ainda maior por ter ocorrido em um período de pandemia. Os resultados da integração PBL-DT demonstram o grande potencial destes métodos utilizados de maneira integrada, e atingiu aos objetivos do projeto.
Researchers have been spending a lot of effort in increasing the level of autonomy of Unmanned Aerial Systems (UASs). There is a sort of important scenarios where an autonomous drone would be very effective. One of these scenarios of applications is the long term monitoring of the Amazon rain forest. The uniform pattern of the canopy defines a mission difficult to be performed by a human operator. Imagine someone in front of a monitor seeing for hours long the very same thing: treetops. In such situation, an embedded vision system capable to drive the vehicle while taking decision of what is not fitting to a standard canopy pattern plays a critical role on both remotely operated and autonomous navigation modes. The goal of this work is to present a scheme based on image processing able to extract natural landmarks in forest areas, and to track them during posterior missions over the same area, as reference for the onboard navigation system. The scheme is composed of two main steps: 1) Nonrelevant features suppression based on wavelet, to eliminate the canopy uniform pattern; and 2) Keypoints extraction by SIFT algorithm, to extract new landmarks or to track existing ones. Preliminary results demonstrated that this system can increase the robustness of mission execution in scenarios where usually only GPS references are available.
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