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Integration of vehicular network and smartphones to provide real-time visual assistance during overtaking

Subhadeep Patra UGent, Carlos T Calafate, Juan-Carlos Cano, Peter Veelaert UGent and Wilfried Philips UGent (2017) INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS. 13(12).
abstract
The Intelligent Transportation Systems area has experienced great developments in the recent past, although suffering from slow adoption ratios thus depriving consumers of many interesting and innovative applications. The only solution to this problem is to develop Intelligent Transportation Systems solutions using the already available technologies that are within the grasp of the common people, to make them cost-effective, quick to deploy and easy to adopt. We have therefore developed an affordable Intelligent Transportation Systems that make use of standard smartphones to assist drivers when overtaking. The system autonomously creates a network among the close-by vehicles and provides drivers with a real-time video feed from the one located just ahead. Our system seamlessly offers a better view of the road, and of any vehicle travelling in the opposite direction, being especially useful when the front view of the driver is blocked by large vehicles. We have validated our overtaking assistance system, in both laboratory environment and realistic scenarios. The laboratory tests involved choosing the most effective video codec between MJPEG and H.264, for providing real-time video streaming. Then, using the chosen codec, we performed the outdoor tests to further tune our application to maximise performance. The preliminary results from our experiments allow being optimistic about the effectiveness and applicability of the proposed system.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
Android application, real implementation, video transmission, MJPEG, H.264, vehicular network, Intelligent Transportation Systems
journal title
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
volume
13
issue
12
article number
1550147717748114
publisher
SAGE Publications
Web of Science type
Article
Web of Science id
000418648100001
ISSN
1550-1477
DOI
10.1177/1550147717748114
language
English
UGent publication?
yes
classification
A1
copyright statement
Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
id
8543516
handle
http://hdl.handle.net/1854/LU-8543516
alternative location
http://journals.sagepub.com/doi/pdf/10.1177/1550147717748114
date created
2018-01-03 18:23:27
date last changed
2018-01-11 13:01:26
@article{8543516,
  abstract     = {The Intelligent Transportation Systems area has experienced great developments in the recent past, although suffering from slow adoption ratios thus depriving consumers of many interesting and innovative applications. The only solution to this problem is to develop Intelligent Transportation Systems solutions using the already available technologies that are within the grasp of the common people, to make them cost-effective, quick to deploy and easy to adopt. We have therefore developed an affordable Intelligent Transportation Systems that make use of standard smartphones to assist drivers when overtaking. The system autonomously creates a network among the close-by vehicles and provides drivers with a real-time video feed from the one located just ahead. Our system seamlessly offers a better view of the road, and of any vehicle travelling in the opposite direction, being especially useful when the front view of the driver is blocked by large vehicles. We have validated our overtaking assistance system, in both laboratory environment and realistic scenarios. The laboratory tests involved choosing the most effective video codec between MJPEG and H.264, for providing real-time video streaming. Then, using the chosen codec, we performed the outdoor tests to further tune our application to maximise performance. The preliminary results from our experiments allow being optimistic about the effectiveness and applicability of the proposed system.},
  articleno    = {1550147717748114},
  author       = {Patra, Subhadeep and Calafate, Carlos T and Cano, Juan-Carlos and Veelaert, Peter and Philips, Wilfried},
  issn         = {1550-1477},
  journal      = {INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS},
  keyword      = {Android application,real implementation,video transmission,MJPEG,H.264,vehicular network,Intelligent Transportation Systems},
  language     = {eng},
  number       = {12},
  publisher    = {SAGE Publications},
  title        = {Integration of vehicular network and smartphones to provide real-time visual assistance during overtaking},
  url          = {http://dx.doi.org/10.1177/1550147717748114},
  volume       = {13},
  year         = {2017},
}

Chicago
Patra, Subhadeep, Carlos T Calafate, Juan-Carlos Cano, Peter Veelaert, and Wilfried Philips. 2017. “Integration of Vehicular Network and Smartphones to Provide Real-time Visual Assistance During Overtaking.” International Journal of Distributed Sensor Networks 13 (12).
APA
Patra, S., Calafate, C. T., Cano, J.-C., Veelaert, P., & Philips, W. (2017). Integration of vehicular network and smartphones to provide real-time visual assistance during overtaking. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 13(12).
Vancouver
1.
Patra S, Calafate CT, Cano J-C, Veelaert P, Philips W. Integration of vehicular network and smartphones to provide real-time visual assistance during overtaking. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS. SAGE Publications; 2017;13(12).
MLA
Patra, Subhadeep, Carlos T Calafate, Juan-Carlos Cano, et al. “Integration of Vehicular Network and Smartphones to Provide Real-time Visual Assistance During Overtaking.” INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS 13.12 (2017): n. pag. Print.