Authors
Chuang-Wen You, Nicholas D Lane, Fanglin Chen, Rui Wang, Zhenyu Chen, Thomas J Bao, Martha Montes-de-Oca, Yuting Cheng, Mu Lin, Lorenzo Torresani, Andrew T Campbell
Publication date
2013/6/25
Book
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
Pages
13-26
Description
We present CarSafe, a new driver safety app for Android phones that detects and alerts drivers to dangerous driving conditions and behavior. It uses computer vision and machine learning algorithms on the phone to monitor and detect whether the driver is tired or distracted using the front-facing camera while at the same time tracking road conditions using the rear-facing camera. Today's smartphones do not, however, have the capability to process video streams from both the front and rear cameras simultaneously. In response, CarSafe uses acontext-aware algorithm that switches between the two cameras while processing the data in real-time with the goal of minimizing missed events inside (e.g., drowsy driving) and outside of the car (e.g., tailgating). Camera switching means that CarSafe technically has a "blind spot" in the front or rear at any given time. To address this, CarSafe uses other embedded sensors on …
Total citations
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Scholar articles
CW You, ND Lane, F Chen, R Wang, Z Chen, TJ Bao… - Proceeding of the 11th annual international conference …, 2013