On the limits of positioning-based pedestrian risk awareness

Shubham Jain; Carlo Borgiattino; Yanzhi Ren; Marco Gruteser; Yingying Chen

doi:10.1145/2609829.2609834

On the limits of positioning-based pedestrian risk awareness

Shubham Jain
, Carlo Borgiattino
, Yanzhi Ren
, Marco Gruteser
, Yingying Chen

Computer Science

Stony Brook University

Polytechnic University of Turin
Stevens Institute of Technology
Rutgers - The State University of New Jersey, New Brunswick

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

32 Scopus citations

Abstract

This paper studies the use of positioning techniques for sensing when pedestrians are at an increased risk of a traffic accident. Such sensing techniques could support augmented reality applications that increase pedestrian safety. We discuss requirements for pedestrian risk detection from rural to urban environments and consider algorithms relying on inertial and positioning sensors for distinguishing safe and unsafe walking locations. We study the limits of this approach through walking trials in different environments.

Original language	English
Title of host publication	MARS 2014 - Proceedings of the 2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, Co-located with MobiSys 2014
Publisher	Association for Computing Machinery
Pages	23-28
Number of pages	6
ISBN (Print)	9781450328241
DOIs	https://doi.org/10.1145/2609829.2609834
State	Published - 2014
Event	2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, MARS 2014 - Co-located with MobiSys 2014 - Bretton Woods, NH, United States Duration: Jun 16 2014 → Jun 16 2014

Publication series

Name	MARS 2014 - Proceedings of the 2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, Co-located with MobiSys 2014

Conference

Conference	2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, MARS 2014 - Co-located with MobiSys 2014
Country/Territory	United States
City	Bretton Woods, NH
Period	06/16/14 → 06/16/14

Keywords

Augmented reality
GPS
Localization
Pedestrian safety
Smartphone

Access to Document

10.1145/2609829.2609834

Cite this

Jain, S., Borgiattino, C., Ren, Y., Gruteser, M., & Chen, Y. (2014). On the limits of positioning-based pedestrian risk awareness. In MARS 2014 - Proceedings of the 2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, Co-located with MobiSys 2014 (pp. 23-28). (MARS 2014 - Proceedings of the 2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, Co-located with MobiSys 2014). Association for Computing Machinery. https://doi.org/10.1145/2609829.2609834

Jain, Shubham ; Borgiattino, Carlo ; Ren, Yanzhi et al. / On the limits of positioning-based pedestrian risk awareness. MARS 2014 - Proceedings of the 2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, Co-located with MobiSys 2014. Association for Computing Machinery, 2014. pp. 23-28 (MARS 2014 - Proceedings of the 2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, Co-located with MobiSys 2014).

@inproceedings{03580e56509249a9b6cf8636c66daf52,

title = "On the limits of positioning-based pedestrian risk awareness",

abstract = "This paper studies the use of positioning techniques for sensing when pedestrians are at an increased risk of a traffic accident. Such sensing techniques could support augmented reality applications that increase pedestrian safety. We discuss requirements for pedestrian risk detection from rural to urban environments and consider algorithms relying on inertial and positioning sensors for distinguishing safe and unsafe walking locations. We study the limits of this approach through walking trials in different environments.",

keywords = "Augmented reality, GPS, Localization, Pedestrian safety, Smartphone",

author = "Shubham Jain and Carlo Borgiattino and Yanzhi Ren and Marco Gruteser and Yingying Chen",

year = "2014",

doi = "10.1145/2609829.2609834",

language = "English",

isbn = "9781450328241",

series = "MARS 2014 - Proceedings of the 2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, Co-located with MobiSys 2014",

publisher = "Association for Computing Machinery",

pages = "23--28",

booktitle = "MARS 2014 - Proceedings of the 2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, Co-located with MobiSys 2014",

note = "2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, MARS 2014 - Co-located with MobiSys 2014 ; Conference date: 16-06-2014 Through 16-06-2014",

}

Jain, S, Borgiattino, C, Ren, Y, Gruteser, M & Chen, Y 2014, On the limits of positioning-based pedestrian risk awareness. in MARS 2014 - Proceedings of the 2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, Co-located with MobiSys 2014. MARS 2014 - Proceedings of the 2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, Co-located with MobiSys 2014, Association for Computing Machinery, pp. 23-28, 2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, MARS 2014 - Co-located with MobiSys 2014, Bretton Woods, NH, United States, 06/16/14. https://doi.org/10.1145/2609829.2609834

On the limits of positioning-based pedestrian risk awareness. / Jain, Shubham; Borgiattino, Carlo; Ren, Yanzhi et al.
MARS 2014 - Proceedings of the 2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, Co-located with MobiSys 2014. Association for Computing Machinery, 2014. p. 23-28 (MARS 2014 - Proceedings of the 2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, Co-located with MobiSys 2014).

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

TY - GEN

T1 - On the limits of positioning-based pedestrian risk awareness

AU - Jain, Shubham

AU - Borgiattino, Carlo

AU - Ren, Yanzhi

AU - Gruteser, Marco

AU - Chen, Yingying

PY - 2014

Y1 - 2014

N2 - This paper studies the use of positioning techniques for sensing when pedestrians are at an increased risk of a traffic accident. Such sensing techniques could support augmented reality applications that increase pedestrian safety. We discuss requirements for pedestrian risk detection from rural to urban environments and consider algorithms relying on inertial and positioning sensors for distinguishing safe and unsafe walking locations. We study the limits of this approach through walking trials in different environments.

AB - This paper studies the use of positioning techniques for sensing when pedestrians are at an increased risk of a traffic accident. Such sensing techniques could support augmented reality applications that increase pedestrian safety. We discuss requirements for pedestrian risk detection from rural to urban environments and consider algorithms relying on inertial and positioning sensors for distinguishing safe and unsafe walking locations. We study the limits of this approach through walking trials in different environments.

KW - Augmented reality

KW - GPS

KW - Localization

KW - Pedestrian safety

KW - Smartphone

UR - https://www.scopus.com/pages/publications/84904185701

U2 - 10.1145/2609829.2609834

DO - 10.1145/2609829.2609834

M3 - Conference contribution

SN - 9781450328241

T3 - MARS 2014 - Proceedings of the 2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, Co-located with MobiSys 2014

SP - 23

EP - 28

BT - MARS 2014 - Proceedings of the 2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, Co-located with MobiSys 2014

PB - Association for Computing Machinery

T2 - 2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, MARS 2014 - Co-located with MobiSys 2014

Y2 - 16 June 2014 through 16 June 2014

ER -

Jain S, Borgiattino C, Ren Y, Gruteser M, Chen Y. On the limits of positioning-based pedestrian risk awareness. In MARS 2014 - Proceedings of the 2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, Co-located with MobiSys 2014. Association for Computing Machinery. 2014. p. 23-28. (MARS 2014 - Proceedings of the 2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, Co-located with MobiSys 2014). doi: 10.1145/2609829.2609834

On the limits of positioning-based pedestrian risk awareness

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Keywords

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