DNAS: a driver nighttime assistance system using rear-view smartphone Online publication date: Mon, 04-Sep-2017
by Chunmei Ma; Haigang Gong; Nianbo Liu; Chao Song; Ming Liu
International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Vol. 26, No. 2, 2017
Abstract: Owing to the poor visibility and improper behaviour, driving at nighttime is much more dangerous. In this paper, we present a cost-effective driver nighttime assistance system (DNAS), which runs on Android smartphones. In DNAS, smartphones are placed on the rear windshield, for periodically capturing road condition by the camera sensor, and warning the drivers of dangerous speeding or tailgating event. To achieve this function, firstly, DNAS uses the bright vehicle headlights and their dimension to determine the following vehicles from the captured images. Then, it analyses their temporal and spatial characteristics in the successive frames. Finally it works out the safety critical events to send out warning sounds. We evaluate the effectiveness of DNAS based on two different real driving routes. The results show that DNAS, on average, is able to detect speeding and tailgating with an accuracy of 87.7% and 83.3% recall, respectively.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook