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It is dangerous for drivers to make a call while driving, as it could easily divert the drivers' attention. In this paper, we present a novel method to detect the driver use of mobile phone based on an in-car camera. The in-car camera is mounted on the front windshield to capture the video of the driver during driving, and an activity parsing algorithm is employed to identify whether the driver is...
Recent developments in the mobile devices have made image processing on the go much more feasible. In this paper, we propose a monocular approach that can be deployed on smart phones and tablets and we evaluate its performance and the potential for further development of driving assistance system using mobile devices. This monocular approach relies on the main camera of the mobile device to observe...
The paper aims at providing an intelligent driver assistance system on mobile devices, which is mainly composed of the two parts - off road warning and distance warning of front vehicles. In this application, the paper proposes an efficient lane and front vehicles detection and tracking method which has been experiments on mobile phones. The method is proved to be efficient and practical even though...
Understanding the status of the traffic signal at an intersection is crucial to many vehicle applications. For example, the information can be utilized to estimate the optimal speed for passing the intersection to increase the fuel efficiency, or to provide additional context information for predicting whether a vehicle would run the red light. In this paper, we propose a new real-time traffic light...
Several License Plate Recognition systems have been developed in the past. Our objective is to design a system implemented on a standard camera-equipped mobile phone, capable of recognising vehicle license number. As a first step towards it we propose a license plate text segmentation approach that is robust to various lighting conditions, complex background owing to dirty or rusted LP and non-convential...
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