Abstract: An apparatus, method and computer program product are provided for assessing geospatial aerial images for image processing. In one example, the apparatus receives a plurality of geospatial aerial images, where each of the plurality of geospatial aerial image data represents a zone within a map. The apparatus selects a bounding zone within the map for image processing and, in response to the bounding zone including a subset of the plurality of geospatial aerial images, the apparatus accepts or rejects the subset for the image processing based on one or more attributes of the subset. The one or more attributes is a resolution of each of the subset, an amount of area within the bounding zone covered by the subset, a clarity of each of the subset, an amount of gap or overlap between the subset, or a combination thereof.

Abstract: The disclosure provides a method, a system, and a computer program product for updating map data. The method comprises obtaining vehicle sensor data associated with first spatial data and first temporal data related to one or more hazard-based event. The method may further include obtaining image data associated with second spatial data and second temporal data related to one or more hazard-based event. The method may further include combining the first spatial data with the second spatial data based on a match between the first spatial data and the second spatial data and between the first temporal data and the second temporal data respectively. The method may further include updating the map data based on the combining.

Abstract: Methods for anomaly detection using dictionary based projection (DBP), and system for implementing such methods. In an embodiment, a method comprises receiving input data including a plurality n of multidimensional data points (MDDPs) with dimension m, applying DBP iteratively to the input data to construct a dictionary D, receiving a newly arrived MDDP (NAMDDP), calculating a score S associated with the NAMDDP as a distance of the NAMDDP from dictionary D, and classifying the NAMDDP as normal or as an anomaly based on score S, wherein classification of the NAMDDP as an anomaly is indicative of detection of an unknown undesirable event.

Abstract: A registration method whereby a sensor-based approach is used to establish initial registration and whereby upon the commencement of navigating an endoscope, image-based registration methods are used in order to more accurately maintain the registration between the endoscope location and previously-acquired images. A six-degree-of-freedom location sensor is placed on the probe in order to reduce the number of previously-acquired images that must be compared to a real-time image obtained from the endoscope.

Abstract: An apparatus, method and computer program product are provided for providing a the map including a binary representation of a weather-based hazard. In one example, the apparatus receives data indicating a polygon defining a region being impacted by a weather condition and overlays the polygon on a tile map. The apparatus receives attribute data indicating one or more functional classes of one or more road portions within each tile of the tile map that is partially covered by the polygon and determines a subset of tiles within the tile map that defines the weather condition based on the attribute data.

Abstract: A medical image display apparatus for displaying medical images of a lung on a screen includes a network interface receiving positional information of a navigation instrument from a position sensor of the navigation instrument, a video stream from an optical sensor of the navigation instrument, and medical images from an imaging device, a memory storing a plurality of medical images and instructions, a processor executing the instructions, and a display dynamically displaying images on the screen. The instructions, when executed by the processor, cause the medical image display apparatus to determine whether status information indicates a pathway reviewing mode, a target management mode, or a navigation mode. The instructions, when executed by the processor, further cause the display to dynamically select and update images, which are displayed on the screen, among the plurality of medical images based on the positional information of the navigation instrument and status information.

Abstract: A cavity authentication system for verifying a feature of a user using at least one acoustic signal, including an orifice element, including at least a signal opening and a reflection opening, an acoustic wave generator (AWG), an acoustic wave sensor (AWS), at least one output waveguide, at least one input waveguide, a processor and a memory, the AWG for producing at least one acoustic signal, the AWS for receiving at least one reflection of the acoustic signal, the output waveguide for transmitting the acoustic signal to the user, the input waveguide for receiving the reflection of the acoustic signal, wherein the processor is configured to analyze the reflection and to compare the analyzed reflection with the retrievable cavity authentication data and to generate an indication whether the analyzed reflection matches the retrievable cavity authentication data above a pre determined threshold.

Abstract: Embodiments described herein may provide a method for identifying the location of a hazard, evaluating how long that hazard is likely to be present at the location, and providing an indication of the time to live of the hazard. Methods may include: receiving an indication of a hazard event, where the hazard event includes a timestamp and a location; map matching the location of the hazard event to a map-matched road segment; determining a time to live of the hazard event based, at least in part, on the timestamp and the map-matched road segment; providing an indication of the time to live of the hazard event as at least one of a database entry or a map user interface element; and providing for at least one of route guidance or navigational assistance based, at least in part, on the time to live of the hazard event.

Abstract: A system and method for enhanced navigation for use during a surgical procedure including planning a navigation path to a target using a first data set of computed tomography images previously acquired; navigating a marker placement device to the target using the navigation path; placing a plurality of markers in tissue proximate the target; acquiring a second data set of computed tomography images including the plurality of markers; planning a second navigation path to a second target using the second data set of computed tomography images; navigating a medical instrument to a second target; capturing fluoroscopic data of tissue proximate the target; and registering the fluoroscopic data to the second data set of computed tomography images based on marker position and orientation within the real-time fluoroscopic data and the second data set of computed tomography images.

Abstract: A system, a method, and a computer program product may be provided for processing event data. For example, event data relating to an occurrence of an event corresponding to a first tile is received, and a first count value associated with the received event data is determined. A threshold count value associated with the event within the first tile is obtained, and dynamic switching between a link-based processing and a tile-based processing is performed, based on a comparison between the first count value and the threshold count value, wherein on determining the first count value to be greater than the threshold count value, the tile-based processing is performed, and on determining the first count value to be lesser than the threshold count value, the link-based processing is performed.

Abstract: A method including receiving, from a C-arm device, a plurality of fluoroscopic images of a lung, wherein each fluoroscopic image is obtained with the C-arm device positioned at a particular pose of a plurality of poses traversed by the C-arm device while the C-arm device is moved through a range of motion including a range of rotation, the range of rotation encompassing a sweep angle between 45 degrees and 120 degrees; generating an enhanced tomographic image of the lung, by utilizing: a trained machine learning model and the plurality of fluoroscopic images; and outputting a representation of the enhanced tomographic image, wherein, when tested by a method in which: the lung includes a lesion smaller than 30 millimeters, and the representation is an axial slice showing a boundary of the lesion, the lesion has a contrast-to-noise value of at least 5 as compared to a background of the representation.

Abstract: The present invention provides a method, including: obtaining a first image from a first imaging modality; identifying on the first image from the first imaging modality obtaining a second image from a second imaging modality; generating a compatible virtual image from the first image from the first imaging modality; mapping planning data on the compatible virtual image; coarse registering of the second image from the second imaging modality to the first image from the first imaging modality; identifying at least one element of the mapped planning data from the compatible virtual image; identifying at least one corresponding element on the second imaging modality; mapping the at least one corresponding element on the second imaging modality; fine registering of the second image from the second imaging modality to the first image from the first imaging modality; generating a third image.

Abstract: A medical image display apparatus for displaying medical images of a lung on a screen includes a network interface receiving positional information of a navigation instrument from a position sensor of the navigation instrument, a video stream from an optical sensor of the navigation instrument, and medical images from an imaging device, a memory storing a plurality of medical images and instructions, a processor executing the instructions, and a display dynamically displaying images on the screen. The instructions, when executed by the processor, cause the medical image display apparatus to determine whether status information indicates a pathway reviewing mode, a target management mode, or a navigation mode. The instructions, when executed by the processor, further cause the display to dynamically select and update images, which are displayed on the screen, among the plurality of medical images based on the positional information of the navigation instrument and status information.

Abstract: A cavity authentication system for verifying at least one feature of a user using at least one acoustic signal, including an orifice element, including at least a signal opening and a reflection opening, an acoustic wave generator (AWG), an acoustic wave sensor (AWS), at least one output waveguide, at least one input waveguide, a processor, a memory and a power supply, the AWG for producing at least one acoustic signal, the AWS for receiving at least one reflection of the acoustic signal, the output waveguide for transmitting the acoustic signal to the user, the input waveguide for receiving the reflection of the acoustic signal, the memory configured to store cavity authentication data representative of the feature, wherein the processor is configured to analyze the reflection and to compare the analyzed reflection with the retrievable cavity authentication data and to generate an indication whether the analyzed reflection matches the retrievable cavity authentication data above a pre-determined threshold.

Abstract: A method, apparatus, and user interface for providing a roadworks location detection system is disclosed. For example, image data of at least one roadworks sign may be obtained and a location for the roadworks project may be determined based on the obtained image data. One or more road segments may then be identified, and the determined roadworks location associated with the one or more identified road segments to update a map layer of a geographic database and/or perform other actions.

Abstract: Methods for registering a three-dimensional model of a body volume to a real-time indication of a sensor position that involve analyzing scanned and sensed voxels and using parameters or thresholds to identify said voxels as being either tissue or intraluminal fluid. Those voxels identified as fluid are then used to construct a real-time sensed three-dimensional model of the lumen which is then compared to a similarly constructed, but previously scanned model to establish and update registration.

Abstract: An apparatus autonomously operates at least one system of a vehicle as the vehicle navigates along a route through at least a portion of a traversable network in a sensor-based navigation mode. The apparatus obtains a map fragment corresponding to an area along the route; and, responsive to determining that the vehicle is located within the area, autonomously operates the at least one system of the vehicle as the vehicle navigates a portion of the route within the area in a map-based navigation mode using map data of the map fragment. Responsive to determining that the vehicle has exited the area, the apparatus autonomously operates the at least one system of the vehicle as the vehicle continues to navigate along the route in the sensor-based navigation mode. The map fragment is a portion of a high definition map configured to enable map-based autonomous vehicle navigation/control.

Abstract: A method, apparatus and computer program product for activating a flood event warning are described herein. In the context of a method, a location may be identified as a flood prone location. Data relating to the flood prone location may be received from one or more remote devices. The method may determine a flood confidence for the flood prone location based upon the data. The method may identify an active flood event for the flood prone location based on the flood confidence and cause a flood event warning to be activated in an instance in which the active flood event is identified.

Abstract: An approach is provided for determining bicycle lane deviations for autonomous vehicle warning or operation. The approach, for example, involves retrieving probe data associated with a bicycle transportation mode. The approach also involves determining a plurality of probe points of the probe data that are map-matched outside of a bicycle lane. The approach further involves clustering the plurality of probe points into at least one location cluster. The approach further involves storing the one or more location clusters in a geographic database as respective one or more hazard areas where a plurality of bicycles deviates outside of the bicycle lane. By way of example, the approach can further involve using the at least one location cluster to perform at least one of providing a warning message or determining a driving parameter for an autonomous vehicle.

Abstract: Methods and systems for navigating to a target through a patient's bronchial tree are disclosed including a bronchoscope, a probe insertable into a working channel of the bronchoscope and including a location sensor, and a workstation in operative communication with the probe and the bronchoscope, the workstation including a user interface that guides a user through a navigation plan and is configured to present a central navigation view including a plurality of views configured for assisting the user in navigating the bronchoscope through central airways of the patient's bronchial tree toward the target, a peripheral navigation view including a plurality of views configured for assisting the user in navigating the probe through peripheral airways of the patient's bronchial tree to the target, and a target alignment view including a plurality of views configured for assisting the user in aligning a distal tip of the probe with the target.