A driving assistance system for navigation in urban environments

Authors:
Leandro C. Fernandes;Maurício A. Dias;Fernando S. Osório;Denis F. Wolf
Affiliations:
University of São Paulo, ICMC-SSC, Mobile Robotics Laboratory, São Carlos, SP, Brazil;University of São Paulo, ICMC-SSC, Mobile Robotics Laboratory, São Carlos, SP, Brazil;University of São Paulo, ICMC-SSC, Mobile Robotics Laboratory, São Carlos, SP, Brazil;University of São Paulo, ICMC-SSC, Mobile Robotics Laboratory, São Carlos, SP, Brazil
Venue:
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Year:
2010

Citing 4
Cited 0

Stanley: The robot that won the DARPA Grand Challenge: Research Articles

Journal of Robotic Systems - Special Issue on the DARPA Grand Challenge, Part 2
In-vehicle vision processors for driver assistance systems

Proceedings of the 2008 Asia and South Pacific Design Automation Conference
Autonomous driving in urban environments: Boss and the Urban Challenge

Journal of Field Robotics - Special Issue on the 2007 DARPA Urban Challenge, Part I
A cost-effective ultrasonic sensor-based driver-assistance system for congested traffic conditions

IEEE Transactions on Intelligent Transportation Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Mobile robot navigation in urban environments is a very complex task. As no single sensor is capable to deal with these situations by itself, sensor fusion techniques are required to allow safe navigation in this type of environment. This paper proposes an approach to combine different sensors in order to assist a driver in a cooperative manner. An adaptive attention zone in front of the vehicle is defined and the driver is notified about obstacles presence, identifying dangerous situations. Experiments using a commercial vehicle loaded with GPS and a LIDAR sensor have been performed in real environments in order to evaluate proposed approach.