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Autonomous Embedded Navigation System - Detection of Roads based on Monocular Camera Data, Growth of Regions Method and Genetics Algorithms

Grant number: 11/17440-8
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): November 01, 2011
Effective date (End): December 31, 2013
Field of knowledge:Engineering - Mechanical Engineering
Principal Investigator:Marcelo Becker
Grantee:Luciano Henrique Diniz Ramires Junior
Home Institution: Escola de Engenharia de São Carlos (EESC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Associated research grant:08/57858-9 - National Institute for Optics and Photonics, AP.TEM

Abstract

This undergraduate research project is part of a bigger project entitled SENA Project - Autonomous Embedded Navigation System that aims the development of assistive and autonomous systems that can be embedded in vehicle in order to increase the safety of drivers, passengers, and pedestrians. In this project proposal, the student will use the MatLab platform to develop routines to detect routes (both in urban and on highways areas) by collected images through a monocular camera previously calibrated and assembled on a test vehicle. For this it will use the images segmentation method known as growing regions and genetics algorithms implementation to optimize the parameters involved in the routines. It is expected with the development of this project take another step toward the use of artificial vision systems embedded in passenger vehicles with assistive systems