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1. 发明授权

US09967818B2 Method and system for an accurate energy-efficient outdoor localization on a mobile device 有权
公开(公告)号：US09967818B2
公开(公告)日：2018-05-08
申请号：US14636095
申请日：2015-03-02
申请人： Umm-Al-Qura University , Umm-Al-Qura University
发明人： Heba Allah Aly AbdEl-Halim Aly Ismail , Moustafa Amin Abdelazim Youssef
IPC分类号： H04W4/02 , H04W52/02 , H04W4/04
CPC分类号： H04W52/0225 , H04W4/026 , H04W4/027 , H04W4/04 , H04W4/30 , Y02D70/00 , Y02D70/12 , Y02D70/122 , Y02D70/142 , Y02D70/144 , Y02D70/164 , Y02D70/26
摘要： A method and a system that uses standard cell-phone sensors to provide accurate and energy-efficient outdoor localization suitable for mobile navigation design. System and method employs a dead-reckoning localization approach and leverages these road landmarks, among others such as virtual landmarks, to reset the accumulated error and achieve accurate localization. For consuming low energy the system and method uses only energy-efficient sensors or sensors that are already running for other purposes. We present the design of System and method of leveraging crowd-sourcing to automatically learn virtual landmarks and their locations. Tests of the system and method on android devices in both city and highway driving show the accuracy of results for local cell phones to within 8.4 m median error in city roads and 16.6 m on highways. Moreover, compared to GPS and other systems, the battery lifetime was extended by 347%, achieving even better localization results than GPS.

2. 发明申请

US20160091609A1 METHOD AND SYSTEM FOR AN ACCURATE AND ENERGY EFFICIENT VEHICLE LANE DETECTION 审中-公开
标题翻译：用于精确和有效的车辆检测的方法和系统
公开(公告)号：US20160091609A1
公开(公告)日：2016-03-31
申请号：US14661272
申请日：2015-03-18
申请人： Umm-Al-Qura University
发明人： Heba Allah Aly AbdEl-Halim Aly Ismail , Anas Basalamah , Moustafa Amin Youssef
IPC分类号： G01S19/13
CPC分类号： G01S19/49
摘要： Knowledge of the vehicle's lane position is required for several location-based services such as advanced driver assistance systems, driverless cars, and predicting driver's intent, among many other emerging applications. We present LaneQuest: a system and method that leverages the ubiquitous and low-energy inertial sensors available in commodity smart-phones to provide an accurate estimate of the vehicle's current lane. LaneQuest leverages the phone sensors about the surrounding environment to detect the vehicle's lane. For example, a vehicle making a right turn most probably will be in the right-most lane, a vehicle passing by a pothole will be in a specific lane and the vehicle angular velocity when driving through a curve reflects its lane. The ambiguous location, sensors noise, and fuzzy lane anchors; LaneQuest employs a novel probabilistic lane estimation algorithm. Furthermore, it uses an unsupervised crowd-sourcing approach to learn the position and lane span distribution of the different lane-level anchors.
摘要翻译：在许多其他新兴应用中，对于诸如基于位置的服务，诸如先进的驾驶员辅助系统，无人驾驶汽车以及预测驾驶员的意图是必需的。我们提供LaneQuest：利用商用智能手机中普遍存在的低能量惯性传感器来提供车辆当前车道的准确估计的系统和方法。 LaneQuest利用围绕周围环境的手机传感器来检测车辆的车道。例如，右转的车辆最有可能在最右侧的车道中，通过坑洞的车辆将处于特定的车道，并且当通过曲线行驶时的车辆角速度反映其车道。模糊位置，传感器噪声和模糊车道锚点; LaneQuest采用新颖的概率车道估计算法。此外，它使用无监督的人群来源方法来了解不同车道级锚点的位置和车道跨度分布。

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