Robust and ubiquitous smartphone-based lane detection

Lane-level positioning is required for several location-based services such as advanced driver assistance systems, driverless cars, predicting driver’s intent, among many other emerging applications. Yet, current outdoor localization techniques fail to provide the required accuracy for estimating the car’s lane. In this paper, we present LaneQuest: an accurate and energy-efficient smartphone-based lane detection system. LaneQuest leverages hints from the ubiquitous and low-power inertial sensors available in commodity off-the-shelf smartphones about the car’s motion and its surrounding environment to provide an accurate estimate of the car’s current lane position. For example, a car making a u-turn, most probably, will be in the left-most lane; a car passing by a pothole will be in the pothole’s lane; and the car angular velocity when driving through a curve reflects its lane. Our investigation shows that there are amble opportunities in the environment, i.e. lane “ancho...

• Type: Journal
• Year: 2016
• Where: PERCOM
• Authors: Heba Aly, Anas Basalamah, Moustafa Youssef
• Keywords: Computer Networks, PERCOM 2016