LaneQuest: An Accurate and Energy-Efficient Lane Detection System
Heba Aly, Anas Basalamah, Moustafa Youssef

TL;DR
LaneQuest is a low-energy system that uses smartphone sensors and environmental cues to accurately detect a vehicle's lane position with high precision, suitable for mobile devices.
Contribution
It introduces a probabilistic lane estimation algorithm and unsupervised crowd-sourcing to identify lane anchors, improving accuracy and energy efficiency over existing methods.
Findings
Over 90% accuracy in detecting lane anchors
80% exact lane detection rate, 89% within one lane
Effective on various Android devices and driving conditions
Abstract
Current outdoor localization techniques fail to provide the required accuracy for estimating the car's lane. In this paper, we present LaneQuest: a system that leverages the ubiquitous and low-energy inertial sensors available in commodity smart-phones to provide an accurate estimate of the car's current lane. LaneQuest leverages hints from the phone sensors about the surrounding environment to detect the car's lane. For example, a car making a right turn most probably will be in the right-most lane, a car passing by a pothole will be in a specific lane, and the car's angular velocity when driving through a curve reflects its lane. Our investigation shows that there are amble opportunities in the environment, i.e. lane "anchors", that provide cues about the car's lane. To handle the ambiguous location, sensors noise, and fuzzy lane anchors; LaneQuest employs a novel probabilistic lane…
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