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A vehicle driving assistance system based on sensor fusion.

Grant number: 10/01305-1
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): December 01, 2010
Effective date (End): February 28, 2015
Field of knowledge:Physical Sciences and Mathematics - Computer Science
Principal researcher:Denis Fernando Wolf
Grantee:Patrick Yuri Shinzato
Home Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Associated scholarship(s):11/21956-0 - Development of autonomous vehicles: a hybrid method for identifying markings in urban traffic, BE.EP.DR


The autonomous navigation is one of the fundamental problems of mobile robotics. This subject has been researched for a long time, however still shown great potential for scientific research. Most of the algorithms and solutions developed are designed to operate in highly structured environments, such as halls and buildings. Another issue also interesting to researchers working in this area is the navigation in outdoor unstructured and, more specifically, the development of intelligent autonomous vehicles.This research project proposes to develop a driving assistance system for vehicles in urban environments through sensor fusion. Aiming at reducing the number of traffic accidents through the use of information from laser sensors and video cameras for the construction of a navigable map of the environment. Based on this map, the vehicle driver can be warned at risk of collision, holes in the track and close the tab.

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Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
SHINZATO, Patrick Yuri. Estimation of obstacles and road area with sparse 3D points. 2015. Doctoral Thesis - Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) São Carlos.

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