Abstract: A system included and a computer-implemented method performed in an autonomous-driving vehicle are described. The system performs: detecting one or more movable objects; determining a target movable object from the one or more detected objects; determining a manner of generating a directed alert notification selectively toward the target movable object; and causing a directed alert notification of the determined manner to be generated toward the target movable object.

Abstract: A system included and a computer-implemented method performed in one of a plurality of self-driving vehicles that are connected through a network are described. The system performs: processing image data of one or more scene images received by said one of the plurality of self-driving vehicles, to detect one or more objects included in the one or more scene images; determining a target object from the one or more detected objects at least based on the processed image data; predicting movement of the target object at least based on a current position and a current movement state of the target object; and performing a self-driving operation to drive said one of the plurality of self-driving vehicles based on the predicted movement of the target object.

Abstract: Systems, methods, and non-transitory computer-readable media are provided for implementing a tracking camera system onboard an autonomous vehicle. Coordinate data of an object can be received. The tracking camera system actuates, based on the coordinate data, to a position such that the object is in view of the tracking camera system. Vehicle operation data of the autonomous vehicle can be received. The position of the tracking camera system can be adjusted, based on the vehicle operation data, such that the object remains in view of the tracking camera system while the autonomous vehicle is in motion. A focus of the tracking camera system can be adjusted to bring the object in focus. The tracking camera system captures image data corresponding to the object.

Abstract: A system included and a computer-implemented method performed in one of a plurality of self-driving vehicles that are connected through a network are described. The system performs: processing image data of one or more scene images received by said one of the plurality of self-driving vehicles, to detect one or more objects included in the one or more scene images; determining a target object from the one or more detected objects at least based on the processed image data; predicting movement of the target object at least based on a current position and a current movement state of the target object; and performing a self-driving operation to drive said one of the plurality of self-driving vehicles based on the predicted movement of the target object.

Abstract: A system included and a computer-implemented method performed in an autonomous-driving vehicle are described. The system performs: detecting one or more movable objects; determining a target movable object from the one or more detected objects; determining a manner of generating a directed alert notification selectively toward the target movable object; and causing a directed alert notification of the determined manner to be generated toward the target movable object.

Abstract: Systems, methods, and non-transitory computer readable media configured to generate enhanced three-dimensional information. Three-dimensional information of a scene may be obtained. The three-dimensional information may define a three-dimensional point cloud model of the scene. The three-dimensional information may be determined based on distances of the scene from a location. Image information may be obtained. The image information may define one or more images of an object. The object may be identified based on the image information. A three-dimensional point cloud model of the object may be obtained. Enhanced three-dimensional information of the scene may be generated by inserting the three-dimensional point cloud model of the object into the three-dimensional point cloud model of the scene.

Abstract: Systems, methods, and non-transitory computer readable media configured to generate enhanced training information. Training information may be obtained. The training information may characterize behaviors of moving objects. The training information may be determined based on observations of the behaviors of the moving objects. Behavior information may be obtained. The behavior information may characterize a behavior of a given object. Enhanced training information may be generated by inserting the behavior information into the training information.

Abstract: An adaptive filter system and a method for controlling the adaptive filter system are described herein. The system can includes one or more filters to attenuate incoming light. The one or more filters can be moved by one or more actuators. The method can capture image data from an imaging device through the one or more filters. Information can be determined from the captured image data. The one or more filters can be moved to a position for capturing image data based on the information.

Abstract: A system included and a computer-implemented method performed in an autonomous-driving vehicle are described. The system performs: detecting one or more movable objects; determining a target movable object from the one or more detected objects; determining a manner of generating a directed alert notification selectively toward the target movable object; and causing a directed alert notification of the determined manner to be generated toward the target movable object.

Abstract: The present invention provides a composition comprising the compound having the structure: or a salt of the compound; 4-amino-2-[19F]-fluorobenzoic acid or a salt of 4-amino-2-[19F]-fluorobenzoic acid; and at least one acceptable carrier.

Abstract: Embodiments disclosed herein are directed to autonomous vehicles comprising at least one interior compartment including: at least one table; at least one seating unit; at least one closet; at least one window configured to transition between a substantially transparent state and a substantially opaque state and to display at least navigational information; at least one vanity; at least one storage area; or combinations thereof; wherein the vehicle is configured to operate in at least an autonomous mode. In some instance, the vehicle may not include steering equipment (e.g., steering wheel) and/or acceleration or deceleration equipment (e.g., a gas or brake pedal).

Abstract: A method of assessing the quality of an retinal image (such as a fundus image) includes selecting at least one region of interest within a retinal image corresponding to a particular structure of the eye (e.g. the optic disc or the macula), and a quality score is calculated in respect of the, or each, region-of-interest. Each region of interest is typically one associated with pathology, as the optic disc and the macula are. Optionally, a quality score may be calculated also in respect of the eye as a whole (i.e. over the entire image, if the entire image corresponds to the retina).

Abstract: Embodiments disclosed herein are directed to autonomous vehicles comprising at least one interior compartment including: at least one table; at least one seating unit; at least one closet; at least one window configured to transition between a substantially transparent state and a substantially opaque state and to display at least navigational information; at least one vanity; at least one storage area; or combinations thereof; wherein the vehicle is configured to operate in at least an autonomous mode. In some instance, the vehicle may not include steering equipment (e.g., steering wheel) and/or acceleration or deceleration equipment (e.g., a gas or brake pedal).

Abstract: A system included and a computer-implemented method performed in one of a plurality of self-driving vehicles that are connected through a network are described. The system performs: processing image data of one or more scene images received by said one of the plurality of self-driving vehicles, to detect one or more objects included in the one or more scene images; determining a target object from the one or more detected objects at least based on the processed image data; predicting movement of the target object at least based on a current position and a current movement state of the target object; and performing a self-driving operation to drive said one of the plurality of self-driving vehicles based on the predicted movement of the target object.

Abstract: There is provided a method and apparatus for real-time discriminative ocular artefact removal from EEG signals. This is facilitated by integrating inter-class dissimilarity and within-class similarity in a regularized framework based on oscillatory correlation. Correspondingly, components related to ocular movements are extracted from the raw data as pseudo-artefact channels so that it is applicable to single-channel EEG data without a dedicated EOG or eye-tracker.

Abstract: A method of assessing the quality of an retinal image (such as a fundus image) includes selecting at least one region of interest within a retinal image corresponding to a particular structure of the eye (e.g. the optic disc or the macula), and a quality score is calculated in respect of the, or each, region-of-interest. Each region of interest is typically one associated with pathology, as the optic disc and the macula are. Optionally, a quality score may be calculated also in respect of the eye as a whole (i.e. over the entire image, if the entire image corresponds to the retina).

Abstract: The present invention provides a display panel, a manufacturing method thereof, and a display device. The display panel comprises a base substrate, an opposite substrate, a first electrode, a second electrode, and a plurality of original sub-pixels on at least part of which conversion sub-pixels are provided, and an upper water layer is provided on each of the conversion sub-pixels. The conversion sub-pixel is configured to, when an electric field is generated between the first and second electrodes, shrink to one side of the original sub-pixel so that the upper water layer covers the original sub-pixel from above, and, when no electric field is generated between the first and second electrodes, cover the original sub-pixel located under the conversion sub-pixel from above.

Abstract: Embodiments of the present invention relate to an electronic paper display device and its driving method. The electronic paper display device comprises a plurality of pixels. Each of the pixels includes at least two thin film transistors, and each thin film transistor is electrically connected to a corresponding data line and a corresponding gate line respectively, and within one refresh cycle, is turned on once separately. Embodiments of the invention can make refresh rate quicker and requirement on storage capacitance lower so as to achieve faster grayscale refresh.

Abstract: A method for profiling sleep of an individual is provided. The method includes defining a sleep feature space for the individual, measuring a brain wave for the individual during the individual's sleep, and mapping the sleep feature space in response to a comparison of the brain wave and a previous brain wave measurement used to define the sleep feature space. The brain wave may comprise a brain wave spectrum. The sleep feature space may comprise, or be composed of, spectral power and envelope measures. The method also includes modelling the mapped sleep feature space in response to recognized neural network patterns corresponding to each of a plurality of sleep stages derived from recognizing the neural network patterns from the sleep feature space and deriving a sleep profile for the individual from sleep stages determined in response to the modelled mapped sleep feature space and the brain wave of the individual.

Abstract: Embodiments of the invention provide a handwritten type electronic paper display and a manufacture method thereof. The handwritten type electronic paper display comprises: a first electrode substrate (1) and a second electrode substrate (2) having a same pixel electrode matrix structure, an electronic paper thin film (3), a flexible printed circuit (4), a stylus (5) and an electrical source. The electronic paper thin film (3) is bonded onto an upper surface of the first electrode substrate (1), a common electrode of the electronic paper thin film is electrically connected to a negative electrode of the electrical source; the second electrode substrate (2) is fixed on the electronic paper thin film (3) in a thin film manner; the flexible printed circuit (4) is adapted for electrically connecting pixels of the first electrode substrate (1) to corresponding pixels of the second electrode substrate (2); and the stylus (5) is electrically connect to a positive electrode of the electrical source.