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 Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: November 01, 2011
• End date: December 31, 2013
• Field of knowledge: Engineering - Mechanical Engineering
• Principal Investigator: Marcelo Becker
• Grantee: Luciano Henrique Diniz Ramires Junior
• Host 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