Detection and localisation of cars in indoor parking through UWB radar-based sensing system. (24th November 2021)

• Record Type: Journal Article
• Authors: Rajendran, Sukumar; Mathivanan, Sandeep Kumar; Somanathan, Manivannan Sorakaya; Geetha, M.; Jayagopal, Prabhu; Venkatasen, Maheshwari; Mani, Prasanna; Christopher, Jabez
• Is Part Of: International journal of ultra wideband communications and systems. Volume 4:Number 3/4(2021)
• Page Start: 182
• Page End: 190
• Publication Date: 2021-11-24
• Subjects: UWB -- indoor parking -- counting -- congestion -- crowdedness -- graph theory; Wireless communication systems -- Periodicals; Ultra-wideband devices -- Periodicals; 621.382
• Languages: English
• ISSNs: 1758-728X

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.