Title:
Distributed parking spot detection with on-board sensors

dc.contributor.advisor Bras, Berdinus A.
dc.contributor.author Spinolo, Philip Luke
dc.contributor.committeeMember Jiao, Roger
dc.contributor.committeeMember Telenko, Cassandra
dc.contributor.department Mechanical Engineering
dc.date.accessioned 2018-08-20T15:28:48Z
dc.date.available 2018-08-20T15:28:48Z
dc.date.created 2017-08
dc.date.issued 2017-05-31
dc.date.submitted August 2017
dc.date.updated 2018-08-20T15:28:48Z
dc.description.abstract Drivers searching for parking are significant contributors to congestion in urban areas. It has been shown that informing these drivers about available parking can help alleviate some of this congestion and thus reduce overall travel time and emissions. However, informing drivers about available parking requires up-to-date knowledge of the occupancy of parking spaces in the area. For certain situations with well-controlled entries and exits, like parking garages, this is a simple process. For more distributed parking, as in open parking lots or curbside parking, the current approach is to deploy sensors at each individual parking space. A more dynamic occupancy detection system may be possible using vehicle-borne sensors to check for open spaces. As vehicle technology continues to advance, capable sensors may even be natively equipped on some vehicles and trim levels, with no need for aftermarket kits. However, when using sensors that make distance measurements to determine whether or not a space is open, a secondary system must be able to check that a detected opening is a parking space and not an intersection or a bus stop or other area that cannot be parked in. In this thesis, a method for detecting openings using a late-model vehicle’s ultrasound parallel park assist sensors and then verifying that the openings are valid parking using basic map data in OpenStreetMap is described. An overview of parking guidance systems as well as relevant sensors is also provided. The system is then tested in two stages, first for the ultrasound sensors by themselves and then for the combined detection and validation system in three different parking scenarios around Atlanta. Results show that the system is effective at identifying opening parking spaces both on the street and in parking lots, though parking lots with angled spots and GPS accuracy are both challenges for the system.
dc.description.degree M.S.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/60140
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Parking
dc.subject Parking guidance system
dc.subject Ultrasound sensors
dc.subject OpenStreetMap
dc.title Distributed parking spot detection with on-board sensors
dc.type Text
dc.type.genre Thesis
dspace.entity.type Publication
local.contributor.advisor Bras, Berdinus A.
local.contributor.corporatename George W. Woodruff School of Mechanical Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication 9c522ea2-cfd8-4ff0-ac9c-b62b07f7c32a
relation.isOrgUnitOfPublication c01ff908-c25f-439b-bf10-a074ed886bb7
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Masters
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
SPINOLO-THESIS-2017.pdf
Size:
36.74 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
LICENSE.txt
Size:
3.87 KB
Format:
Plain Text
Description: