Abstract: Systems, methods, and at least one computer-readable medium for selecting a velocity profile for an electric vehicle. In some embodiments, a first parameter value may be determined for a road segment in a selection horizon, and a second parameter value may be determined for an energy storage device of the electric vehicle. The first and second parameter values may be used to predict a plurality of velocity profiles over the selection horizon, wherein each velocity profile is predicted based on a corresponding value of a variable relating to a driving style of a driver of the electric vehicle. An energy consumption cost and a travel time cost may be computed for each velocity profile. A velocity profile may be selected from the plurality of velocity profiles, based on the respective energy consumption costs and the respective travel time costs.

Abstract: The present invention is for an autonomous aerial vehicle that enables near real-time and offline data processing among heterogenous devices that are in unreliable or unconnected network service areas, wherein the heterogenous devices are associated with heavy industrial systems. The autonomous aerial vehicle may obtain data from a first physical asset, and segment the obtained data as suitable for a local area compute node and/or a cloud compute node. The autonomous aerial vehicle may identify a location associated with the one or more destination devices and may compute a flight path to the destination location. The aerial device may thereafter travel to the destination location and upload relevant data to the at least one destination upon arrival.

Abstract: In one embodiment, a method includes receiving sets of measurement parameters associated with a sensed object and respectively captured by sensors. The method includes determining a relative orientation between the sensors based on comparison of the received sets of measurement parameters. The method includes determining one or more calibration factors based on comparing the determined relative orientation between sensors to an expected relative orientation between the sensors. The method includes applying at least one of the determined calibration factors to one or more of the measurement parameters captured by the sensors.

Abstract: A magazine for loading projectiles into a launch assembly by gravity feed. The magazine has a plurality blades radially extending from a central axis and defining a like plurality of compartments in an axially rotatable ring. The ring rests upon a stationary deck plate having a hole for gravity feed of the projectile into the launch assembly below. Projectiles having different fight characteristics are deposited into the compartments at a safe location, supported by the deck plate and the launch assembly with an associated device are transported to a hostile environment. A first projectile is launched by the launch assembly in a longitudinal direction. The launch assembly is retracted, automatically indexing the rotatable ring and dropping the next projectile through the hole and into the launch assembly for subsequent launch.

Abstract: The techniques described herein relate to a motor vehicle, including: a battery pack electrically connected to an electric machine and a plurality of electrical loads, wherein the motor vehicle is operable in a full power mode in which power can flow from the battery pack to the electric machine and each of the plurality of electrical loads, and a battery save mode in which a flow of power is prevented between the battery pack and either or both of the electric machine or at least some of the plurality of electrical loads; and a controller configured to command the motor vehicle to operate in the battery save mode if the motor vehicle has been parked in a known extended parking location for a first time period, or if the motor vehicle has been parked in a location other than a known extended parking location for a second time period longer than the first time period.

Abstract: The disclosure generally pertains to systems and methods for use of a vehicle to conduct a site survey. An example method can include receiving navigation guidance to move a vehicle along a pre-defined path on a property for executing a site survey operation of the property. The site survey operation can include a staking procedure performed by a robotic arm attached to the vehicle, an image capture procedure performed by use of a camera in the vehicle, and/or a subterranean scanning procedure for detecting a buried object. In an example implementation, the staking procedure can include inserting at a first location on the property, a stake having affixed thereon, a barcode label. A barcode scanner can be used to read the barcode label for obtaining information associated with an object present at the first location.

Abstract: A method of controlling a drive axle system of a vehicle. The temperature of a first electric power source that is configured to store electrical energy and provide electrical energy to an electric motor to provide propulsion torque may be reduced when an upper temperature limit is exceeded. The temperature of the first electric power source may be increased when the temperature is below a lower temperature limit.

Abstract: A communication system for sending surveillance signals in a hostile environment to an operator. The communication system comprises a plurality of relay sensors to transceive collected data between sequential relay sensors and ultimately to an operator. The communication system has a tractor for dispensing plural relay sensors throughout the hostile environment. The sensors may be dispensed by an elevator to a position where a relay sensor can be retrieved by a drone for placement to maintain line of sight communication. And relay sensors can be dispensed directly from the tractor to the ground or water. Direct dispensing of the relay sensors can occur through a hole in tractor or off a ramp.

Abstract: A method controlling an ego vehicle in an environment includes determining, via a flow model of a parked vehicle recognition system, a flow between a first representation of the environment and a second representation of the environment. The method also includes determining, via a velocity model of the parked vehicle recognition system, a velocity of a vehicle in the environment based on the flow. The method further includes determining, via a parked vehicle classification model of the parked vehicle recognition system, the vehicle is parked based on the velocity of the vehicle and one or more of features associated with the vehicle and/or the environment. The method still further includes planning a trajectory of the ego vehicle based on determining the vehicle is parked.

Abstract: A system for providing security functions to a vehicle may comprise a chassis and a drone. The chassis may be configured to be mounted on top of the vehicle. The chassis may include a drone port for housing a drone. The drone may include a camera. The camera of the drone may be configured to capture images of objects outside of the chassis while the drone is positioned in the drone port. A device including the chassis may be a light bar and further include lights positioned at a periphery of the device.

Abstract: An autonomous drone is provided. When a remote control circuit of a remote controller is triggered to output a remote control signal, a main controller of a drone records the remote control signal and a flight control panel of the drone controls the drone to fly according to the remote control signal. When the remote controller is triggered to output an automatic flight signal, a signal receiver of the drone receives and transmits the automatic flight signal to the main controller. At this time, the main controller instructs the flight control panel to control the drone to fly according to movement instruction messages of the remote control signal previously recorded.

Abstract: An unmanned aerial vehicle (“UAV”) system for energy transport includes a UAV having an energy tank configured to transport energy, a processor, and a memory. The memory includes instructions which, when executed by the processor, may cause the system to receive a first location for collecting or releasing the energy, determine an energy level of the energy tank, and transport the energy by the UAV to or from the first location based on the determined energy level.

Abstract: An apparatus and a method of a wireless communication system, and a computer-readable storage medium are disclosed. The apparatus comprises a processing circuit. The processing circuit is configured to configure, directly or indirectly on the basis of one or more height thresholds for user equipment and a current height of the user equipment, operation of the user equipment. According to at least one aspect of the embodiments of the disclosure, configuring, on the basis of a height threshold, operation of a user equipment optimizes communication performance in an unmanned aerial vehicle communication scenario.

Abstract: A hybrid vehicle control method for a hybrid vehicle having a drive motor, a battery supplying electric power to the drive motor, and an engine for power generation configured to supply electric power to the battery and the drive motor includes operating the engine at a higher engine rotation speed in an operating state in which a fuel consumption device that contributes to improved fuel consumption performance does not operate than in an operating state in which the fuel consumption device operates.

Abstract: A method (700) for determining the value of a size of an object (150) is described. The method (710) comprises determining (711) an occupancy grid (200) indicating evidence that individual cells (201) are vacant or occupied by the object (150). Further, the method (710) comprises determining (712) a subset of cells (201) associated with the object (150). Further, the method (710) comprises detecting (713) two opposing bounding edges of the object (150), and determining (714) a measurement value of the size of the object (150) based on the distance between the detected edges of the object (150). The method (710) further comprises determining (715) a quality measure indicating how well the two opposing edges of the object (150) could be detected, and determining (716) a measurement probability distribution of the size of the object (150) dependent on the quality measure.

Abstract: An inspection apparatus, which inspects a CAN communication function of an ECU to be inspected, comprises: a connection unit configured to connect a communication circuit of the ECU and the inspection apparatus on a one-to-one basis; an inspection message creation unit configured to create an inspection message in which a predetermined signal level indicating a higher priority of communication arbitration than the message received from the ECU to be inspected is set in an identifier field of a data format corresponding to the message; a transmission unit configured to transmit the inspection message to the ECU; a reception unit configured to receive a message transmitted from the ECU; and a reception function determination unit configured to determine whether a reception function of the ECU is normal based on whether the reception unit has received the message from the ECU after transmission of the inspection message.

Abstract: A method for controlling secure delivery of a medication package includes receiving a medication delivery request to deliver a medication package to a first delivery location. The method also includes identifying one or more authenticated delivery locations corresponding to a recipient and determining whether the one or more authenticated delivery locations includes the first delivery location and, in response to a determination that the one or more authenticated delivery locations includes the first delivery location, instructing an unmanned aerial vehicle to transport the medication package from a starting location to the first delivery location. The method also includes, in response to the unmanned aerial vehicle communicating authentication data, determining whether the authentication data corresponds to the recipient.

Abstract: Systems and apparatuses for receiving data from a plurality of sensors and using the data, as well as other data, to generate a parking recommendation for an autonomous vehicle and instruct the autonomous vehicle to travel to the recommended parking location are provided. Data may be received from a plurality of sensors within a first autonomous vehicle, as well as from other vehicles and/or structures. Historical parking data associated with the first autonomous vehicle may also be extracted. In some examples, an expected future trip of the first autonomous vehicle may be determined. The system may then evaluate the data to generate a parking recommendation for the first autonomous vehicle. The system may generate and transmit instructions for traveling from a current location to the recommended parking location and may cause the first autonomous vehicle to travel to the recommended parking location.

Abstract: The present invention relates to a method for determining the current angle of lateral inclination (a) of a roadway by means of a vehicle, at least comprising the steps of: a) determining the current radius of curvature (K) of the roadway; b) measuring the current velocities v(1,2) of at least two different wheels of the vehicle, one of the wheels with the velocity v(1) lying closer to the current curve center point of the roadway; c) calculating the current radius of lateral inclination (Q) of the roadway using the current wheel velocity v(1), the wheel distance (d) and the difference between the wheel velocities measured in method step b); d) calculating the current angle of inclination (a) of the vehicle on the roadway using the quotient of the radius of curvature (K) determined in method step a) and the current radius of lateral inclination (Q) calculated in method step c).

Abstract: A system may include one or more sensors configured to acquire data associated with a driver of a vehicle and a processor. The processor may receive the data and determine whether the data is within a baseline data associated with expected behavior of the driver. The processor may then control one or more operations of the vehicle in response to the data being outside the baseline data.