Abstract: Panoramic video acquisition guidance is automatically provided as feedback during panoramic video capture. Commensurate with receiving a panoramic video being captured, at least one panoramic video acquisition guidance indicator is provided. This panoramic video guidance acquisition indicator(s) provides real-time acquisition feedback on the panoramic video being captured, and is based, at least in part, on the panoramic video being captured or movement of a video capture device capturing the panoramic video. In one or more implementations, the panoramic video guidance indicator may include a video rotation progress indicator, a video tilt or video pitch indicator, and/or a video rotation speed indicator.

Abstract: An autonomous vehicle may be configured to detect objects based on known structures of an environment. The vehicle may be configured to obtain image data from a sensor and be configured to operate in an autonomous mode. The image data may include data indicative of a known structure in the environment. The vehicle may include a computer system. The computer system may determine, based on a first portion of the image data, information indicative of an appearance of the known structure. The computer system may determine, based on a second portion of the image data, information indicative of an appearance of an unknown object in the environment. The computer system may also compare the information indicative of the appearance of the known structure with the information indicative of the appearance of the unknown object and provide instructions to control the vehicle in the autonomous mode based on the comparison.

Abstract: Methods and systems for detecting a vehicle signal through image differencing and filtering are described. A computing device may be configured to receive a sequence of images of an identified vehicle in a vicinity of a given vehicle. The computing device may be configured to determine, based on a comparison of a first image of a pair of images of the sequence of images to a second image of the pair of images, a portion of image data exhibiting a change in color and a change in brightness between the first image and the second image of the pair of images. The computing device may be configured to determine that the portion indicates a light signal for the identified vehicle; and provide instructions to control the given vehicle based on the light signal of the identified vehicle.

Abstract: Methods of and systems for determining a location of a mobile device using transmitted audio signals is provided. In an embodiment, meta data included in the audio signals may also be used. In an embodiment, a characteristic, such as a received signal strength, may be measured to determine the location of the mobile device.

Abstract: An autonomous vehicle may be configured to detect objects based on known structures of an environment. The vehicle may be configured to obtain image data from a sensor and be configured to operate in an autonomous mode. The image data may include data indicative of a known structure in the environment. The vehicle may include a computer system. The computer system may determine, based on a first portion of the image data, information indicative of an appearance of the known structure. The computer system may determine, based on a second portion of the image data, information indicative of an appearance of an unknown object in the environment. The computer system may also compare the information indicative of the appearance of the known structure with the information indicative of the appearance of the unknown object and provide instructions to control the vehicle in the autonomous mode based on the comparison.

Abstract: An indoor area may be localized to provide end users with a mobile-accessible map to guide the end user in navigating the indoor area. A preliminary version of a map of the indoor area to be localized is processed to identify different navigable routes within the indoor area. A user may access the processed map and collect sensory data using the mobile device while moving along any of the navigable routes. The different sensory data that is collected at the same moment in time may be associated based on the location of the mobile device when the data is collected. The localized map is then generated with visual indications of the locations of the corresponding sensory data. The end user may then access the localized map on a mobile device to navigate the indoor area and to locate specific points of interest corresponding to the sensory data.

Abstract: Methods and systems for detection of a construction zone sign are described. A computing device, configured to control the vehicle, may be configured to receive, from an image-capture device coupled to the computing device, images of a vicinity of the road on which the vehicle is travelling. Also, the computing device may be configured to determine image portions in the images that may depict sides of the road at a predetermined height range. Further, the computing device may be configured to detect a construction zone sign in the image portions, and determine a type of the construction zone sign. Accordingly, the computing device may be configured to modify a control strategy associated with a driving behavior of the vehicle; and control the vehicle based on the modified control strategy.

Abstract: Systems and methods for filling panoramic images having valid and invalid pixel regions are provided. An invalid region is identified in an initial panoramic image. Pixel data of invalid pixels in the initial panoramic image are replaced with pixel data of pixels from a valid region in at least one nearby panoramic image to obtain a valid fill region.

Abstract: Aspects of this disclosure provide systems and methods for generating models of a wireless network environment in an indoor space which may be used to predict an indoor location. The disclosure relates to collecting wireless network access point identifier information and power level observed at various locations are collected to generate various signal maps. The signal maps may be used to generate models of the indoor space. In one example, a voting model may use a probability distribution of a plurality of signal maps in order to identify a location with a highest probability of overlap with current signals received at a client device. Once a location has been identified, it may be used to assist with any number of navigational functions, such as providing turn by turn directions to another indoor location, for example, a conference room or exit, or simply providing information about the current location.

Abstract: Methods and systems permit automatic matching of videos with images from dense image-based geographic information systems. In some embodiments, video data including image frames is accessed. The video data may be segmented to determine a representative image frame of a segment of the video data. Data representing information from the representative image frame may be automatically compared with data representing information from a plurality of image frames of an image-based geographic information data system. Such a comparison may, for example, involve a search for a best match between geometric features, histograms, color data, texture data, etc. of the compared images. Based on the automatic comparing, an association between the video and one or more images of the image-based geographic information data system may be generated. The association may represent a geographic correlation between selected images of the system and the video data.

Abstract: Aspects of the present disclosure provide systems and methods for generating models of a wireless network environment in an indoor space which may be used to predict an indoor location. The disclosure relates to collecting wireless network access point identifier information and power level observed at various locations are collected to generate various signal maps. The signal maps may be used to generate models of the indoor space. In one example, a voting model may use a probability distribution of a plurality of signal maps in order to identify a location with a highest probability of overlap with current signals received at a client device. Once a location has been identified, it may be used to assist with any number of navigational functions, such as providing turn by turn directions to another indoor location, for example, a conference room or exit, or simply providing information about the current location.

Abstract: Systems and methods provide approximations of latitude and longitude coordinates of objects, for example a business, in street level images. The images may be collected by a camera. An image of a business is collected along with GPS coordinates and direction of the camera. Depth maps of the images may be generated, for example, based on laser depth detection or displacement of the business between two images caused by a change in the position of the camera. After identifying a business in one or more images, the distance from the camera to a point or area relative to the business in the one or more images may be determined based on the depth maps. Using this distance and the direction of the camera which collected the one or more images and GPS coordinates of the camera, the approximate GPS coordinates of the business may be determined.

Abstract: The present invention provides systems and methods for improving the accuracy of location data, such as GPS data. In an embodiment, the present invention adjusts coordinates by receiving a sequence of coordinates corresponding to a plurality of locations; identifying in a map database, for each location, polyline features within a distance from the coordinates for the location; calculating emission probabilities for the polyline features; calculating transition probabilities for the polyline feature; and adjusting the coordinates for the plurality of locations so that the adjusted coordinates correspond to polyline features belonging to a sequence of polyline features selected, based on the emission probabilities and the transition probabilities, to be the most likely sequence of polyline features that correspond to the sequence of coordinates.

Abstract: Systems and methods for filling panoramic images having valid and invalid pixel regions are provided. An invalid region is identified in an initial panoramic image. Pixel data of invalid pixels in the initial panoramic image are replaced with pixel data of pixels from a valid region in at least one nearby panoramic image to obtain a valid fill region.

Abstract: A method for synthesizing three-dimensional images is provided. A displacement map based on distance data, is generated for a two-dimensional image. The distance data represents a distance between an image object and a position. A shifted version of the two-dimensional image is then produced based on the displacement map. The two-dimensional image and the shifted version of the two-dimensional image are then combined to produce a three-dimensional image. A system is also presented.