Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52482
Title: Safe and reliable path planning for the autonomous vehicle Verdino
Authors: Arnay, Rafael
Morales, Nestor
Morell, Antonio
Hernandez-Aceituno, Javier
Perea, Daniel
Toledo, Jonay T.
Hamilton, Alberto
Sánchez Medina, Javier Jesús 
Acosta, Leopoldo
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: Space vehicles
Mobile robots
Trajectory
Issue Date: 2016
Journal: IEEE Intelligent Transportation Systems Magazine 
Abstract: This paper introduces a local planner which computes a set of commands, allowing an autonomous vehicle to follow a given trajectory. To do so, the platform relies on a localization system, a map and a cost map which represents the obstacles in the environment. The presented method computes a set of tentative trajectories, using a schema based on a Fren?t frame obtained from the global planner. These trajectories are then scored using a linear combination of weighted cost functions. In the presented approach, new weights are introduced in order to satisfy the specificities of our autonomous platform, Verdino. A study on the influence of the defined weights in the final behavior of the vehicle is introduced. From these tests, several configurations have been chosen and ranked according to two different proposed behaviors. The method has been tested both in simulation and in real conditions.
URI: http://hdl.handle.net/10553/52482
ISSN: 1939-1390
DOI: 10.1109/MITS.2015.2504393
Source: IEEE Intelligent Transportation Systems Magazine [ISSN 1939-1390], v. 8 (2), p. 22-32
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