Abstract:
Un procedimiento (500) que comprende: capturar (510) una imagen (100) de una escena por una unidad de captura de imágenes (330) de un dispositivo (300) que incluye al menos un sensor inercial (320) para medir la orientación del dispositivo (300); determinar (520) la orientación de dispositivo relativa del dispositivo (300) en base, al menos en parte, a la ubicación determinada de al menos un punto de fuga (120) en la imagen capturada (100) de la escena; y realizar (530) una o más operaciones de calibración para el al menos un sensor inercial (320) en base, al menos en parte, a la orientación de dispositivo relativa determinada en base, al menos en parte, a la ubicación determinada del al menos un punto de fuga (120) en la imagen capturada (100) de la escena.
Abstract:
Techniques for determining the position of a mobile wireless device are provided. The techniques include a method for determining the position of a mobile wireless device that includes receiving signal characteristics of a signal received from the mobile wireless device at a wireless access point of a Wireless Local Area Network (WLAN) determining an orientation of the mobile wireless device relative to the wireless access point determining a compensation factor based on the orientation of the mobile wireless device relative to the wireless access point and determining an estimated position of the mobile wireless device based at least in part on the compensation factor. The compensation factor compensates for the effect of user occlusion on at least one characteristic of the signal received from the mobile wireless device.
Abstract:
System and method for determining location of a device using opposing cameras are disclosed. In one embodiment the method includes activating a front facing camera and a back facing camera of the device capturing a first pair of images from a first orientation using the front facing camera and the back facing camera where the first pair of images includes a first front image and a first back image monitoring the device being rotated to a second orientation capturing a second pair of images from the second orientation using the front facing camera and the back facing camera where the second pair of images includes a second front image and a second back image and determining a location of the device using the first pair of images and the second pair of images.
Abstract:
System and method for providing informative display for statistical positioning system are disclosed. In one embodiment, the method includes receiving a statistical distribution of user locations in an area, where the statistical distribution of user locations includes a plurality of points representing likelihood of a user at corresponding locations, generating a weighted statistical distribution of user locations using an inverse distance weighting function,, determining one or more estimated locations of the user using the weighted statistical distribution, and displaying the one or more estimated locations of the user, or a representation of the weighted statistical distribution of user position in a display.
Abstract:
Disclosed are systems, methods and devices for application of measurements obtained from a compass or magnetometer in estimating a location of a mobile device. In specific implementations, expected signatures of local magnetic fields at locations are provided to a mobile device as positioning assistance data. In other implementations, magnetic measurements obtained by multiple mobile devices at identifiable locations in an indoor area may be combined for deriving expected signatures of local magnetic fields for use in positioning assistance data.
Abstract:
An estimated position of a pedestrian is obtained by detecting, by a movement sensor on the pedestrian, whether the pedestrian is moving, propagating particles based on a predictive pedestrian movement model upon detecting that the pedestrian is moving, and updating, by a wireless network, the position of the pedestrian upon failure by the movement sensor to detect that the pedestrian is moving. The movement sensor may be a pedometer. The wireless network may be a local wireless network such as a Wi-Fi network.