QUT ePrints

Building Large Scale Traversability Maps Using Vehicle Experience

Martin, Steven, Murphy, Liz, & Corke, Peter (2013) Building Large Scale Traversability Maps Using Vehicle Experience. In Khatib, Oussama (Ed.) Experimental Robotics: The 13th International Symposium on Experimental Robotics [Springer Tracts in Advanced Robotics, Volume 88], Springer, Quebec City, Canada, pp. 891-905.

View at publisher

Abstract

Traversability maps are a global spatial representation of the relative difficulty in driving through a local region. These maps support simple optimisation of robot paths and have been very popular in path planning techniques. Despite the popularity of these maps, the methods for generating global traversability maps have been limited to using a-priori information. This paper explores the construction of large scale traversability maps for a vehicle performing a repeated activity in a bounded working environment, such as a repeated delivery task.We evaluate the use of vehicle power consumption, longitudinal slip, lateral slip and vehicle orientation to classify the traversability and incorporate this into a map generated from sparse information.

Impact and interest:

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

111 since deposited on 31 Jul 2012
36 in the past twelve months

Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 52844
Item Type: Conference Paper
DOI: 10.1007/978-3-319-00065-7_59
ISBN: 978-3-319-00064-0
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Control Systems Robotics and Automation (090602)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 (please consult the author).
Deposited On: 31 Jul 2012 12:45
Last Modified: 20 Jan 2014 10:35

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page