Utilizing Smartphones for Blind Spot Detection

Sarı T. T., Assoy M. K., Seçinti G.

20th IEEE Consumer Communications and Networking Conference, CCNC 2023, Nevada, United States Of America, 8 - 11 January 2023, vol.2023-January, pp.911-912 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 2023-January
  • Doi Number: 10.1109/ccnc51644.2023.10060770
  • City: Nevada
  • Country: United States Of America
  • Page Numbers: pp.911-912
  • Keywords: Blind Spot Detection Systems, LiDAR, Ultra-Wide Band Communications
  • Istanbul Technical University Affiliated: Yes


Despite the recent advanced safety systems utilizing expensive equipment such as Lidar or high resolution cameras, detecting vulnerable users in the blind-spots is a challenging task especially when LoS obstructed. To address this issue, we propose ultra-wide-band based outdoor localization to detect motorcyclists and cyclists in blind spots as well as a simulation architecture combining vehicle and traffic dynamics with wireless communication models. Our proposed approach offers an affordable solution without necessitating additional hardware by using cellphones of the vulnerable users as beacon sources. Finally, early simulation results show that UWB-based method locates motorcyclists with a similar accuracy when compared to LiDAR in LoS scenarios.