Global and Local Path Planning Study in a ROS-Based Research Platform for Autonomous Vehicles

The aim of this work is to integrate and analyze the performance of a path planning method based on Time Elastic Bands (TEB) in real research platform based on Ackermann model. Moreover, it will be proved that all modules related to the navigation can coexist and work together to achieve the goal po...

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Main Authors: Pablo Marin-Plaza, Ahmed Hussein, David Martin, Arturo de la Escalera
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2018/6392697
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author Pablo Marin-Plaza
Ahmed Hussein
David Martin
Arturo de la Escalera
author_facet Pablo Marin-Plaza
Ahmed Hussein
David Martin
Arturo de la Escalera
author_sort Pablo Marin-Plaza
collection DOAJ
description The aim of this work is to integrate and analyze the performance of a path planning method based on Time Elastic Bands (TEB) in real research platform based on Ackermann model. Moreover, it will be proved that all modules related to the navigation can coexist and work together to achieve the goal point without any collision. The study is done by analyzing the trajectory generated from global and local planners. The software prototyping tool is Robot Operating System (ROS) from Open Source Robotics Foundation and the research platform is the iCab (Intelligent Campus Automobile) from University Carlos III. This work has been validated from a test inside the campus where the iCab has performed the navigation between the starting point and the goal point without any collision. During the experiment, we proved the low sensitivity of the TEB method to variations of the vehicle model configuration and constraints.
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publishDate 2018-01-01
publisher Wiley
record_format Article
series Journal of Advanced Transportation
spelling doaj-art-1f42abc84b6743779b5ad8d386e0a6b22025-08-20T02:04:20ZengWileyJournal of Advanced Transportation0197-67292042-31952018-01-01201810.1155/2018/63926976392697Global and Local Path Planning Study in a ROS-Based Research Platform for Autonomous VehiclesPablo Marin-Plaza0Ahmed Hussein1David Martin2Arturo de la Escalera3Universidad Carlos III de Madrid, Leganes, SpainUniversidad Carlos III de Madrid, Leganes, SpainUniversidad Carlos III de Madrid, Leganes, SpainUniversidad Carlos III de Madrid, Leganes, SpainThe aim of this work is to integrate and analyze the performance of a path planning method based on Time Elastic Bands (TEB) in real research platform based on Ackermann model. Moreover, it will be proved that all modules related to the navigation can coexist and work together to achieve the goal point without any collision. The study is done by analyzing the trajectory generated from global and local planners. The software prototyping tool is Robot Operating System (ROS) from Open Source Robotics Foundation and the research platform is the iCab (Intelligent Campus Automobile) from University Carlos III. This work has been validated from a test inside the campus where the iCab has performed the navigation between the starting point and the goal point without any collision. During the experiment, we proved the low sensitivity of the TEB method to variations of the vehicle model configuration and constraints.http://dx.doi.org/10.1155/2018/6392697
spellingShingle Pablo Marin-Plaza
Ahmed Hussein
David Martin
Arturo de la Escalera
Global and Local Path Planning Study in a ROS-Based Research Platform for Autonomous Vehicles
Journal of Advanced Transportation
title Global and Local Path Planning Study in a ROS-Based Research Platform for Autonomous Vehicles
title_full Global and Local Path Planning Study in a ROS-Based Research Platform for Autonomous Vehicles
title_fullStr Global and Local Path Planning Study in a ROS-Based Research Platform for Autonomous Vehicles
title_full_unstemmed Global and Local Path Planning Study in a ROS-Based Research Platform for Autonomous Vehicles
title_short Global and Local Path Planning Study in a ROS-Based Research Platform for Autonomous Vehicles
title_sort global and local path planning study in a ros based research platform for autonomous vehicles
url http://dx.doi.org/10.1155/2018/6392697
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