ParkSense: Automatic Parking Positioning by Leveraging In-Vehicle Magnetic Field Variation
Loading...
Authors
Nguyen, Phuc
Nguyen, Hieu
Nguyen, Dong
Dinh, Thang N.
La, Hung M.
Vu, Tam
Issue Date
2017
Type
Article
Language
Keywords
Parking detection , magnetic field variation , vehicular and wireless technologies , phone embedded sensors , mobile computing
Alternative Title
Abstract
Drivers often park their vehicles without consciously (physically or mentally) noting down the parked location which makes it hard and inconvenient for the users to later locate their vehicles. Existing solutions either require users to explicitly note down the parked position on their mobile device by performing a certain action, such as pressing a button to turn on their global positioning system, or are erroneous and inaccurate. This paper attempts to build ParkSense, a system that allows a smart phone to accurately and automatically "sense," and later navigate to, the position at which the vehicle was parked. We propose to make use of the variations of magnetic fields and electromagnetic fields inside the vehicles to detect when a user stops and turns off his or her vehicle. Our evaluation with an actual implementation of the system on different mobile platforms and operating systems, tested on different mobile devices/phones and car models, shows the detection accuracy of more than 90%, confirming the feasibility of our approach.
Description
Citation
Nguyen, P., Nguyen, H., Nguyen, D., Dinh, T. N., La, H. M., & Vu, T. (2017). ParkSense: Automatic Parking Positioning by Leveraging In-Vehicle Magnetic Field Variation. IEEE Access, 5, 25021–25033. doi:10.1109/access.2017.2767029
Publisher
Journal
Volume
Issue
PubMed ID
ISSN
2169-3536