DNAS: A Driver Nighttime Assistance System using Rear-View Smartphone
Ming Liu, Chao Song, Nianbo Liu, Chunmei Ma, Haigang Gong · International Journal of Ad Hoc and Ubiquitous Computing · 2015
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.