Demo: Ultra-Wideband-Assisted Blind Spot Detection System

Talip Tolga Sari, Sultan Cogay, Suleyman Turan, Mert Kadir Assoy, Gokhan Secinti

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Even today, traffic collision is one of the major fatality reasons Worldwide especially in middle-income countries having dense traffic with limited or insufficient infrastructure. Moreover, according to '2022 Road Traffic Injuries' report of World Health Organization, more than half of traffic crash fatalities are from vulnerable people such as pedestrians, cyclists, and motorcyclists. Blind-spot of the vehicles is still one of the key factors in these collisions. Although advanced safety systems have been recently introduced, incorporating expensive equipment like Lidar or high-resolution cameras, identifying vulnerable users remains a difficult challenge, particularly when the line of sight is obstructed. To tackle this problem, we suggest utilizing ultra-wideband(UWB) outdoor localization to detect cyclists and motorcyclists in blind spots. Our proposed method provides a cost-effective solution that does not require additional hardware, as we assume that vulnerable users' mobile phones can support UWB communication. In this demo, we both show simulation results comparing different localization techniques and architect a simple test-bed using COTS hardware supporting UWB links with Android devices.

Original languageEnglish
Title of host publication2023 IEEE Vehicular Networking Conference, VNC 2023
EditorsSinem Coleri, Onur Altintas, Frank Kargl, Takamasa Higuchi, Michele Segata, Florian Klingler
PublisherIEEE Computer Society
Number of pages2
ISBN (Electronic)9798350335491
Publication statusPublished - 2023
Event14th IEEE Vehicular Networking Conference, VNC 2023 - Instanbul, Turkey
Duration: 26 Apr 202328 Apr 2023

Publication series

NameIEEE Vehicular Networking Conference, VNC
ISSN (Print)2157-9857
ISSN (Electronic)2157-9865


Conference14th IEEE Vehicular Networking Conference, VNC 2023

Bibliographical note

Publisher Copyright:
© 2023 IEEE.


This study is funded by Istanbul Technical University, Department of Scientific Research Projects with project numbers 43828 and 44272.

FundersFunder number
Department of Scientific Research Projects44272, 43828
Istanbul Teknik Üniversitesi


    • Blind Spot Detection
    • Outdoor Localization
    • Ultra-wideband
    • V2X


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