Patent classifications
H04W4/026
AUTOMATIC LABELING OF OBJECTS IN SENSOR DATA
Aspects of the disclosure provide for automatically generating labels for sensor data. For instance, first sensor data, for a vehicle may be identified. This first sensor data may have been captured by a first sensor of the vehicle at a first location during a first point in time and may be associated with a first label for an object. Second sensor data for the vehicle may be identified. The second sensor data may have been captured by a second sensor of the vehicle at a second location at a second point in time outside of the first point in time. The second location is different from the first location. A determination may be made as to whether the object is a static object. Based on the determination that the object is a static object, the first label may be used to automatically generate a second label for the second sensor data.
Moving Target of Interest Predictive Locating, Reporting, and Alerting
Systems and corresponding methods are provided for moving object predictive locating, reporting, and alerting. This method includes receiving moving object data corresponding to a moving object; receiving sensor data from a sensor and merging the received moving object data and the received sensor data into a set of merged data. The example method further includes based on the set of merged data, automatically determining one or more of a predicted location or range of locations for the moving object, a potential path of travel for the moving object, an alert concerning the moving object, and providing the alert. The automatically determining may be further based on one or more historical traits concerning the object, and the geographic medium the object is moving through. The geographic medium may include one or more of terrain, air, water, and space. The object may be a soldier, vehicle, drone, or ballistic.
In-vehicle device for controlling a movable barrier operator
In one aspect, an in-vehicle device is provided that includes a sensor configured to detect a vehicle characteristic indicative of the vehicle being in proximity to a location associated with a movable barrier operator. The in-vehicle device includes communication circuitry to communicate an open command to the movable barrier operator that causes the movable barrier operator to open a movable barrier connected to the movable barrier operator. A memory is configured to store a vehicle arrival condition indicative of whether the vehicle arrived at the location associated with the movable barrier operator. A processor is configured to determine satisfaction of the vehicle arrival condition and, upon the vehicle arrival condition not being satisfied, cause the communication circuitry to communicate a close command to the movable barrier operator that causes the movable barrier operator to close the movable barrier.
Unsupervised learning of metric representations from slow features
A method of unsupervised learning of a metric representation and a corresponding system for a mobile device determines a metric position information for a mobile device from an environmental representation. The mobile device comprises at least one sensor for acquiring sensor data and an odometer system configured to acquire displacement data of the mobile device. An environmental representation is generated based on the acquired sensor data by applying an unsupervised learning algorithm. The mobile device moves along a trajectory and the displacement data and the sensor data are acquired while the mobile device is moving along the trajectory. A set of mapping parameters is calculated based on the environmental representation and the displacement data. A metric position estimation is determined based on a further environmental representation and the calculated set of mapping parameters.
Information processing apparatus, storage medium, and information processing system
An information processing apparatus connectable to one or more devices via a network. The apparatus includes a measuring unit measuring an inclination of the apparatus; a determining unit determining whether the inclination of the apparatus relative to a given surface of one of the one or more devices is within a predetermined inclination range; a receiving unit that receives radio waves; an obtaining unit obtaining identification information from the radio waves; a radio wave strength measuring unit measuring strength of the radio waves; a selection unit determining whether to select a given one of the one or more devices based on the strength of the radio waves; and a connection unit connecting the information processing apparatus to one of the one or more devices selected by the selection unit and for which the inclination of the apparatus is within the predetermined inclination range.
Color-sensitive virtual markings of objects
Disclosed are systems, methods, and non-transitory computer readable media for making virtual colored markings on objects. Instructions may include receiving an indication of an object; receiving from an image sensor an image of a hand of an individual holding a physical marking implement; detecting in the image a color associated with the marking implement; receiving from the image sensor image data indicative of movement of a tip of the marking implement and locations of the tip; determining from the image data when the locations of the tip correspond to locations on the object; and generating, in the detected color, virtual markings on the object at the corresponding locations.
Sensor-assisted technique for RF power normalization in locationing applications
A radio frequency (RF) device includes a spatial orientation sensor and logic circuit configured to determine spatial orientation of the RF device relative to a reference position or relative to a RF transmitter. In particular, the RF device determines a distance between the RF receiver and the RF transmitter based on a received signal strength of the signal and a determined spatial orientation of the RF device, by determining an orientation compensation value from a stored orientation compensation profile and determining a resulting compensated received signal strength. The RF device is thereby able to determine distance in an orientationally-invariant manner.
REMOTE OBSERVATION AND REPORTING OF VEHICLE OPERATING CONDITION VIA V2X COMMUNICATION
According to one or more examples, a system includes an observer vehicle, and a vehicle in a predetermined vicinity of the observer vehicle. The observer vehicle detects an operating condition of the vehicle using one or more perception devices. The observer vehicle determines that the operating condition does not satisfy a predetermined norm. The observer vehicle generates a message indicating the operating condition of the vehicle. The observer vehicle identifies a communication identifier of the vehicle. The observer vehicle sends the message to be received by the vehicle using the communication identifier via a vehicle to everything (V2X) communication module.
SYSTEMS AND METHODS FOR PROVIDING FUNCTIONALITY BASED ON DEVICE ORIENTATION
Systems, methods, and non-transitory computer-readable media can determine a first orientation in which a computing system is positioned. A first functionality can be provided when the computing system is positioned in the first orientation. It can be determined that the computing system becomes positioned in a second orientation. A second functionality can be selected, out of a set of functionalities, based on a current state associated with the computing system. The second functionality can be provided when the computing system becomes positioned in the second orientation.
ELECTRONICALLY CONNECTED ENVIRONMENT
Briefly, example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, to facilitate and/or support one or more operations and/or techniques for an electronically connected environment, such as implemented in connection with one or more computing and/or communication networks, devices, and/or protocols, for example.