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Abstract:
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This TCC (Undergraduate Course Final Project) aims to develop a solution for intelligent
autonomous navigation with mobile robots using computer vision. Using C language and
OpenCV, an image processing library, the generated code applies different filters and
convolutions in the input image obtained by webcam in order to reduce input noise,
homogenize regions and detect borders. The program, which can be adapted to different
environments by regulating four parameters, allows the robot identifying the floor boundaries
and therefore safely navigating avoiding obstacles in a defined area. Fitting in the research
lines of the Laboratório de Robótica Móvel (ICMC-USP), this work aims to be useful in a
near future at higher levels and in more important projects. |
