Title: Detection and localisation of cars in indoor parking through UWB radar-based sensing system

Authors: Sukumar Rajendran; Sandeep Kumar Mathivanan; Manivannan Sorakaya Somanathan; M. Geetha; Prabhu Jayagopal; Maheshwari Venkatasen; Prasanna Mani; Jabez Christopher

Addresses: School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India ' School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India ' School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India ' Department of Electronics and Communication Engineering, Kalaignar Karunathi Institute of Technology, Coimbatore, India ' School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India ' School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India ' School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India ' Department of Computer Science and Information Systems, Birla Institute of Science and Technology, Hyderabad Campus, Telangana, India

Abstract: Location-based identification of entities determines to provide support at the point of need and the precise position in real-time. The indoor parking environments are challenging with complex situations depending on the size, location, and structure with specified locations allocated for entry and exit. UWB provides a high precision positioning for a specific layout through the tags and anchors with accuracy at the centimetre level. In this paper, a specified indoor parking layout is identified with graph entities by visualising the trajectory through SimulNet. The indoor positioning system utilises the NLOS/LOS signal to classify whether the parking lot slots are occupied or not. The UWB positioning mode allows for defining the spatial positioning in the indoor parking lot layout. Decluttered parking spaces with reduced waiting time through graph edge node detection with specific paths for entry are validated through the UWB system. The proposed algorithm provides a real-time dynamic tracking of empty and full parking space with high accuracy.

Keywords: UWB; indoor parking; counting; congestion; crowdedness; graph theory.

DOI: 10.1504/IJUWBCS.2021.119137

International Journal of Ultra Wideband Communications and Systems, 2021 Vol.4 No.3/4, pp.182 - 190

Received: 28 Jul 2020
Accepted: 20 Jan 2021
Published online: 24 Nov 2021 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article