Utilizing Smartphones for Blind Spot Detection

Talip Talga Sari; Mert Kadir Assoy; Gökhan Seçinti

doi:10.1109/CCNC51644.2023.10060770

Utilizing Smartphones for Blind Spot Detection

Talip Talga Sari, Mert Kadir Assoy, Gökhan Seçinti

Department of Computer Engineering

Vehicle Dynamics Control Technologies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2023 IEEE 20th Consumer Communications and Networking Conference, CCNC 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	911-912
Number of pages	2
ISBN (Electronic)	9781665497343
DOIs	https://doi.org/10.1109/CCNC51644.2023.10060770
Publication status	Published - 2023
Event	20th IEEE Consumer Communications and Networking Conference, CCNC 2023 - Las Vegas, United States Duration: 8 Jan 2023 → 11 Jan 2023

Publication series

Name	Proceedings - IEEE Consumer Communications and Networking Conference, CCNC
Volume	2023-January
ISSN (Print)	2331-9860

Conference

Conference	20th IEEE Consumer Communications and Networking Conference, CCNC 2023
Country/Territory	United States
City	Las Vegas
Period	8/01/23 → 11/01/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Funding

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

Funders	Funder number
Department of Scientific Research Projects	44272, 43828
Istanbul Teknik Üniversitesi

Keywords

Blind Spot Detection Systems
LiDAR
Ultra-Wide Band Communications

Access to Document

10.1109/CCNC51644.2023.10060770

Cite this

Sari, T. T., Assoy, M. K., & Seçinti, G. (2023). Utilizing Smartphones for Blind Spot Detection. In 2023 IEEE 20th Consumer Communications and Networking Conference, CCNC 2023 (pp. 911-912). (Proceedings - IEEE Consumer Communications and Networking Conference, CCNC; Vol. 2023-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCNC51644.2023.10060770

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title = "Utilizing Smartphones for Blind Spot Detection",

abstract = "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.",

keywords = "Blind Spot Detection Systems, LiDAR, Ultra-Wide Band Communications",

author = "Sari, {Talip Talga} and Assoy, {Mert Kadir} and G{\"o}khan Se{\c c}inti",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 20th IEEE Consumer Communications and Networking Conference, CCNC 2023 ; Conference date: 08-01-2023 Through 11-01-2023",

year = "2023",

doi = "10.1109/CCNC51644.2023.10060770",

language = "English",

series = "Proceedings - IEEE Consumer Communications and Networking Conference, CCNC",

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Sari, TT, Assoy, MK & Seçinti, G 2023, Utilizing Smartphones for Blind Spot Detection. in 2023 IEEE 20th Consumer Communications and Networking Conference, CCNC 2023. Proceedings - IEEE Consumer Communications and Networking Conference, CCNC, vol. 2023-January, Institute of Electrical and Electronics Engineers Inc., pp. 911-912, 20th IEEE Consumer Communications and Networking Conference, CCNC 2023, Las Vegas, United States, 8/01/23. https://doi.org/10.1109/CCNC51644.2023.10060770

Utilizing Smartphones for Blind Spot Detection. / Sari, Talip Talga; Assoy, Mert Kadir; Seçinti, Gökhan.
2023 IEEE 20th Consumer Communications and Networking Conference, CCNC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 911-912 (Proceedings - IEEE Consumer Communications and Networking Conference, CCNC; Vol. 2023-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Utilizing Smartphones for Blind Spot Detection

Abstract

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Bibliographical note

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Keywords

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