Cited By
View all- Nambi AMehta IGhosh ALingam VPadmanabhan VGanti RJiang XPicco GZhou X(2019)ALTProceedings of the 17th Conference on Embedded Networked Sensor Systems10.1145/3356250.3360037(29-42)Online publication date: 10-Nov-2019
Smartphone-based driver license testing: demo abstract
Authors: 
Anurag Ghosh, Vijay Lingam, Ishit Mehta, Akshay Uttama Nambi, Venkata N. Padmanabhan, Satish SangameswaranAuthors Info & Claims
Pages 400 - 401
Abstract
Road safety is compromised today by the inadequacies in driver license testing. Testing is typically still performed manually, and efforts aimed at automating testing are stymied by the cost of outfitting a testing track with sensors. We demonstrate a low-cost, smartphone-based system for automating key aspects of the driver license test. We have a pilot deployment of our system at an official testing track in India. We will present an analysis of license test results obtained from this pilot, comparing the smartphone-based testing results with manual evaluation.
References
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2015. WHO Global Health Observatory (GHO) data. http://www.who.int/gho/road_safety/mortality/en/. (2015).
[2]
2017. Road Safety in India Public Perception Survey. http://savelifefoundation.org/wp-content/uploads/2017/07/Road-Safety-in-India_Public-Perception-Survey_SLF.pdf. (2017).
[3]
Joseph DeGol, Timothy Wolfe Bretl, and Derek W Hoiem. 2018. Improved Structure from Motion Using Fiducial Marker Matching (ECCV 2018).
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Rafael Muñoz-Salinas, Manuel J Marín-Jimenez, Enrique Yeguas-Bolivar, and R Medina-Carnicer. 2018. Mapping and localization from planar markers. Pattern Recognition 73 (2018), 158--171.
[5]
Akshay Uttama Nambi, Ishit Mehta, Anurag Ghosh, Vijay Lingam, and Venkata N. Padmanabhan. 2019. ALT: Towards Automating Driver License Testing using Smartphones. In 17th ACM Conference on Embedded Networked Sensor Systems, SenSys (ACM SenSys '19).
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Johannes Lutz Schönberger and Jan-Michael Frahm. 2016. Structure-from-Motion Revisited. In Conference on Computer Vision and Pattern Recognition (CVPR 2016).
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- Smartphone-based driver license testing: demo abstract
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Information
Published In
November 2019
472 pages
ISBN:9781450369503
DOI:10.1145/3356250
- General Chairs:
- Raghu K. Ganti,
- Xiaofan (Fred) Jiang,
- Program Chairs:
- Gian Pietro Picco,
- Xia Zhou
Copyright © 2019 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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- SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
- SIGCOMM: ACM Special Interest Group on Data Communication
- SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
- SIGOPS: ACM Special Interest Group on Operating Systems
- SIGARCH: ACM Special Interest Group on Computer Architecture
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 10 November 2019
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Conference
SenSys '19
SenSys '19: The 17th ACM Conference on Embedded Networked Sensor Systems
November 10 - 13, 2019
New York, New York
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Overall Acceptance Rate 174 of 867 submissions, 20%
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Cited By
View all- Nambi AMehta IGhosh ALingam VPadmanabhan VGanti RJiang XPicco GZhou X(2019)ALTProceedings of the 17th Conference on Embedded Networked Sensor Systems10.1145/3356250.3360037(29-42)Online publication date: 10-Nov-2019
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