Torchbearer: a multi-pipeline approach to landmark-based navigation

dc.contributor.advisorChairperson, Graduate Committee: Mike Wittieen
dc.contributor.authorVollmer, Fredric Mulleren
dc.date.accessioned2018-12-05T19:30:03Z
dc.date.available2018-12-05T19:30:03Z
dc.date.issued2018en
dc.description.abstractThe task of navigation adds cognitive distraction to the already demanding task of driving. Most popular navigation aids provide verbal directions based solely on distances and street names, but the inclusion of landmark descriptions in these instructions can improve navigation performance, decrease unsafe driving behaviors and reduce cognitive load. Current approaches to selecting landmarks and building landmark-based instructions rely on a single source of data, thereby limiting the set of potential landmarks, or use a single factor in choosing the best landmark, failing to account for all characteristics that make a landmark suitable for navigation. We develop a multi-pipeline system that leverages both human (crowd-sourced) input and machine-based approaches to find, describe and choose the best landmark. Additionally, we develop a mobile application for the delivery of navigation instructions based on landmarks. We evaluate the cost and performance differences between these pipelines, as well as study the effect of landmark navigation prompts on cognitive load, safe driving behavior and driver satisfaction via an in situ experiment.en
dc.identifier.urihttps://scholarworks.montana.edu/handle/1/14695en
dc.language.isoenen
dc.publisherMontana State University - Bozeman, College of Engineeringen
dc.rights.holderCopyright 2018 by Fredric Muller Vollmeren
dc.subject.lcshAutomobile drivingen
dc.subject.lcshDistraction (Psychology)en
dc.subject.lcshNavigationen
dc.subject.lcshPerformanceen
dc.subject.lcshMental worken
dc.titleTorchbearer: a multi-pipeline approach to landmark-based navigationen
dc.typeThesisen
mus.data.thumbpage90en
thesis.degree.committeemembersMembers, Graduate Committee: Clemente Izurieta; Laura Stanley.en
thesis.degree.departmentGianforte School of Computing.en
thesis.degree.genreThesisen
thesis.degree.nameMSen
thesis.format.extentfirstpage1en
thesis.format.extentlastpage141en

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
VollmerF0818.pdf
Size:
16.24 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
826 B
Format:
Plain Text
Description:
Copyright (c) 2002-2022, LYRASIS. All rights reserved.