Please use this identifier to cite or link to this item: https://doi.org/10.1145/2422956.2422959
DC FieldValue
dc.titleGPSView: A scenic driving route planner
dc.contributor.authorZheng, Y.-T.
dc.contributor.authorYan, S.
dc.contributor.authorZha, Z.-J.
dc.contributor.authorLi, Y.
dc.contributor.authorZhou, X.
dc.contributor.authorChua, T.-S.
dc.contributor.authorJain, R.
dc.date.accessioned2013-07-23T09:25:06Z
dc.date.available2013-07-23T09:25:06Z
dc.date.issued2013
dc.identifier.citationZheng, Y.-T., Yan, S., Zha, Z.-J., Li, Y., Zhou, X., Chua, T.-S., Jain, R. (2013). GPSView: A scenic driving route planner. ACM Transactions on Multimedia Computing, Communications and Applications 9 (1). ScholarBank@NUS Repository. https://doi.org/10.1145/2422956.2422959
dc.identifier.issn15516857
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/43105
dc.description.abstractGPS devices have been widely used in automobiles to compute navigation routes to destinations. The generated driving route targets the minimal traveling distance, but neglects the sightseeing experience of the route. In this study, we propose an augmented GPS navigation system, GPSView, to incorporate a scenic factor into the routing. The goal of GPSView is to plan a driving route with scenery and sightseeing qualities, and therefore allow travelers to enjoy sightseeing on the drive. To do so, we first build a database of scenic roadways with vistas of landscapes and sights along the roadside. Specifically, we adapt an attention-based approach to exploit community-contributed GPS-tagged photos on the Internet to discover scenic roadways. The premise is: a multitude of photos taken along a roadway imply that this roadway is probably appealing and catches the public's attention. By analyzing the geospatial distribution of photos, the proposed approach discovers the roadside sight spots, or Points-Of-Interest (POIs), which have good scenic qualities and visibility to travelers on the roadway. Finally, we formulate scenic driving route planning as an optimization task towards the best trade-off between sightseeing experience and traveling distance. Testing in the northern California area shows that the proposed system can deliver promising results. © 2013 ACM.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1145/2422956.2422959
dc.sourceScopus
dc.subjectAlgorithm
dc.subjectExperimentation
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1145/2422956.2422959
dc.description.sourcetitleACM Transactions on Multimedia Computing, Communications and Applications
dc.description.volume9
dc.description.issue1
dc.identifier.isiut000315457000003
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.