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A BLE-Based Pedestrian Navigation System for Car Searching in Indoor Parking Garages
- Source :
- Sensors (Basel, Switzerland), Sensors; Volume 18; Issue 5; Pages: 1442
- Publication Year :
- 2018
- Publisher :
- MDPI AG, 2018.
-
Abstract
- The continuous global increase in the number of cars has led to an increase in parking issues, particularly with respect to the search for available parking spaces and finding cars. In this paper, we propose a navigation system for car owners to find their cars in indoor parking garages. The proposed system comprises a car-searching mobile app and a positioning-assisting subsystem. The app guides car owners to their cars based on a “turn-by-turn” navigation strategy, and has the ability to correct the user’s heading orientation. The subsystem uses beacon technology for indoor positioning, supporting self-guidance of the car-searching mobile app. This study also designed a local coordinate system to support the identification of the locations of parking spaces and beacon devices. We used Android as the platform to implement the proposed car-searching mobile app, and used Bytereal HiBeacon devices to implement the proposed positioning-assisting subsystem. We also deployed the system in a parking lot in our campus for testing. The experimental results verified that the proposed system not only works well, but also provides the car owner with the correct route guidance information.
- Subjects :
- Computer science
010401 analytical chemistry
Real-time computing
Navigation system
020206 networking & telecommunications
02 engineering and technology
positioning
navigation
car-searching
Bluetooth Low Energy (BLE)
01 natural sciences
Biochemistry
Article
Atomic and Molecular Physics, and Optics
0104 chemical sciences
Analytical Chemistry
ComputerSystemsOrganization_MISCELLANEOUS
0202 electrical engineering, electronic engineering, information engineering
Parking lot
Electrical and Electronic Engineering
Android (operating system)
Pedestrian navigation system
Instrumentation
Subjects
Details
- ISSN :
- 14248220
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- Sensors
- Accession number :
- edsair.doi.dedup.....55a294dab5109054aee664537fa57323