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Results of the TAIS/preRunners-project
Linköping University, Department of Management and Engineering, Fluid and Mechanical Engineering Systems. Linköping University, The Institute of Technology.
Linköping University, Department of Management and Engineering, Fluid and Mechanical Engineering Systems. Linköping University, The Institute of Technology.
Swedish Defence Research Agency.
2009 (English)In: Fourth Swedish Workshop on Autonomous Robotics SWAR'09 / [ed] Lars Asplund, 2009, 60-61 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents selected results of the preRunners project. The goal was to experimentally demonstrate the value of collaborating unmanned ground vehicles (UGVs) in an outdoor setting. With uneven terrain and unexpected obstacles a large vehicle benefits greatly from a priori information about theterrain ahead. This information can be gathered by a smaller, more agile and risk tolerant autonomous “preRunner”.

Place, publisher, year, edition, pages
2009. 60-61 p.
Keyword [en]
Outdoor robotics, Mapping, Traversability, SLAM, C-SLAM
National Category
Information Science
Identifiers
URN: urn:nbn:se:liu:diva-52684OAI: oai:DiVA.org:liu-52684DiVA: diva2:284803
Conference
Fourth Swedish Workshop on Autonomous Robotics SWAR'09, Västerås, Sweden, September 8
Projects
PreRunners
Available from: 2010-01-08 Created: 2010-01-08 Last updated: 2012-12-03Bibliographically approved
In thesis
1. Mobile Robot Traversability Mapping: For Outdoor Navigation
Open this publication in new window or tab >>Mobile Robot Traversability Mapping: For Outdoor Navigation
2012 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

To avoid getting stuck or causing damage to a vehicle or its surroundings a driver must be able to identify obstacles and adapt speed to ground conditions. An automatically controlled vehicle must be able to handle these identifications and adjustments by itself using sensors, actuators and control software. By storing properties of the surroundings in a map, a vehicle revisiting an area can benefit from prior information.

Rough ground may cause oscillations in the vehicle chassis. These can be measured by on-board motion sensors. For obstacle detection, a representation of the geometry of the surroundings can be created using range sensors. Information on where it is suitable to drive, called traversability, can be generated based on these kinds of sensor measurements.

In this work, real semi-autonomous mobile robots have been used to create traverasbility maps in both simulated and real outdoor environments. Seeking out problems through experiments and implementing algorithms in an attempt to solve them has been the core of the work.

Finding large obstacles in the vicinity of a vehicle is seldom a problem; accurately identifying small near-ground obstacles is much more difficult, however. The work additionally includes both high-level path planning, where no obstacle details are considered, and more detailed planning for finding an obstacle free path. How prior maps can be matched and merged in preparation for path planning operations is also shown. To prevent collisions with unforeseen objects, up-to-date traversability information is used in local-area navigation and obstacle avoidance.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2012. 122 p.
Series
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1564
Keyword
Traversability, Laser, Roughness, Mapping, Planning, Mobile robot, Navigation, Implementation
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-85937 (URN)LIU-TEK-LIC-2012:49 (Local ID)978-91-7519-726-5 (ISBN)LIU-TEK-LIC-2012:49 (Archive number)LIU-TEK-LIC-2012:49 (OAI)
Presentation
2012-12-14, A39, A-huset, Campus Valla, Linköpings universitet, Linköping, 14:15 (English)
Opponent
Supervisors
Available from: 2012-12-03 Created: 2012-12-03 Last updated: 2012-12-06Bibliographically approved

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Nordin, PeterAndersson, LarsNygårds, Jonas

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