Abstract: Disclosed are embodiments for determining efficient utilization of drones. In some aspects, a drone may be performing a task, and a new task may be identified. Whether the drone should be diverted from the existing task to the new task, in some embodiments, is based on a number of factors. These factors include, for example, a value associated with the existing task and a value associated with the new task. The values are based on, for example, a potential delay introduced in completing the existing task if the drone is diverted to the new task.

Abstract: A method for controlling an unmanned aerial vehicle within a flight operating space. The unmanned aerial vehicle includes one or more sensor arrays on each spar. The method includes determining, using a plurality of sensor arrays, a flight path for the unmanned aerial vehicle. The method also includes receiving, by at least one sensor array of the plurality of sensor arrays, sensor data identifying at least one object in the operating space. The sensor data is transmitted over a communications bus connecting components of the UAV. The method further includes determining, by one or more processors onboard the unmanned aerial vehicle, a flight path around the at least one object. The method also includes generating, by the one or more onboard processors, a first signal to cause the unmanned aerial vehicle to navigate within the operating space around the at least one object.

Abstract: A vehicle control system, comprising a remote operator selection server, a vehicle control device, and a remote operation terminal. The vehicle control device is configured to transmit a manual operation information to the remote operator selection server. The remote operator selection server is configured to acquire the manual operation information transmitted from the vehicle control device, to compute a difference between the manual operation information and a remote operation information for each of the plurality of remote operators, to select a remote operator for whom the difference satisfies a predetermined criterion as a remote operator to remotely operate the vehicle.

Abstract: An autonomous vehicle having a LIDAR system mounted thereon or incorporated therein is described. The LIDAR system has N channels, with each channel being a light emitter/light detector pair. A computing system identifies M channels that are to be active during a scan of the LIDAR system, wherein M is less than N. The computing system transmits a command signal to the LIDAR system, and the LIDAR system performs a scan with the M channels being active (and N-M channels being inactive). The LIDAR system constructs a point cloud based upon the scan, and the computing system controls the autonomous vehicle based upon the point cloud.

Abstract: A method for controlling an unmanned aerial vehicle (UAV) includes obtaining a signal strength of a remote control signal received by the UAV, obtaining a movement path of the UAV in response to the signal strength being less than a preset strength threshold, controlling the UAV to enter a backtrack return mode to return along the movement path, and controlling the UAV to exit the backtrack return mode in response to the signal strength being greater than the preset strength threshold. The movement path of the UAV includes position information of a plurality of discrete points, and the position information of the plurality of discrete points is calculated based on at least one of sensing information obtained by a satellite positioning system disposed in the UAV or sensing information obtained by a vision positioning sensor disposed in the UAV.

Abstract: In an embodiment, a method includes: adjusting a first flight control device of a rotorcraft to control flight around a first axis of the rotorcraft, the first flight control device exercising flight control authority around the first axis of the rotorcraft; detecting a failure of the first flight control device; transitioning at least a portion of the flight control authority around the first axis of the rotorcraft from the first flight control device to a second flight control device of the rotorcraft, the transitioning being performed automatically in response to detecting the failure of the first flight control device; and adjusting the second flight control device to control flight around the first axis of the rotorcraft, the second flight control device being adjusted by a first control process when the rotorcraft is in a first flight mode, the second flight control device being adjusted by a second control process when the rotorcraft is in a second flight mode.

Abstract: A vehicle control system for moving a vehicle to a target location is disclosed. According to examples of the disclosure, a camera captures one or more images of a known object corresponding to the target location. An on-board computer having stored thereon information about the known object can process the one or more images to determine vehicle location with respect to the known object. The system can use the vehicle's determined location and a feedback controller to move the vehicle to the target location.

Abstract: A vehicle provides information on a plurality of chargers that charge a battery mounted on the vehicle. The vehicle includes a navigation screen and an ECU. The ECU controls the navigation screen to show a map and to show a plurality of icons corresponding to the plurality of chargers at corresponding positions of the plurality of chargers on the map. The ECU controls the navigation screen to show the plurality of icons to allow identification of a charging type to which each of the plurality of chargers is adapted and magnitude of electric power that can be output under the charging type.

Abstract: The present disclosure provides a system for monitoring unstructured environments. A predetermined path can be determined according to an assignment of geolocations to one or more agronomically anomalous target areas, where the one or more agronomically anomalous target areas are determined according to an analysis of a plurality of first images that automatically identifies a target area that deviates from a determination of an average of the plurality of first images that represents an anomalous place within a predetermined area, where the plurality of first images of the predetermined area are captured by a camera during a flight over the predetermined area. A camera of an unmanned vehicle can capture at least one second image of the one or more agronomically anomalous target areas as the unmanned vehicle travels along the predetermined path.

Abstract: A control method includes obtaining one or more attitude parameters of a gimbal of a UAV and adjusting one or more attitude parameters of the UAV according to the one or more attitude parameters of the gimbal. The UAV includes a vehicle body, and a power system and the gimbal that are provided at the vehicle body. The power system includes a motor and a propeller and is configured to provide flight power for the UAV. The gimbal is configured to connect a photographing device to the vehicle body. Adjusting the one or more attitude parameters of the UAV includes adjusting a yaw parameter of the UAV according to the yaw parameter of the gimbal. Adjusting the yaw parameter of the UAV includes controlling the UAV to rotate in a yaw direction according to the yaw parameter of the gimbal, to cause the UAV to rotate along with the gimbal.

Abstract: A method performed by an electronic device is described. The method includes obtaining sensor data corresponding to multiple occupants from an interior of a vehicle. The method also includes obtaining, by a processor, at least one occupant status for at least one of the occupants based on a first portion of the sensor data. The method further includes identifying, by the processor, at least one vehicle operation in response to the at least one occupant status. The method additionally includes determining, by the processor, based at least on a second portion of the sensor data, whether to perform the at least one vehicle operation. The method also includes performing the at least one vehicle operation in a case that it is determined to perform the at least one vehicle operation.

Abstract: A method can include perturbing an electric motor of a hybrid powerplant having the electric motor and a fuel powered engine. The method can include measuring a frequency response of the powerplant due to the perturbing of the electric motor to determine a health of the powerplant and/or one or more components thereof.

Abstract: A vehicle performance evaluation method, device and terminal are provided. The method includes: acquiring a labeled ADE score of an ADE item within a time period in which the ADE item occurs, and recording labeled data of an ADE index for indicating a vehicle state; acquiring a correlation between the ADE item and the vehicle state, according to the labeled ADE score and the labeled data of the ADE index; acquiring data of a target ADE index within a preset time period, and acquiring a target ADE score according to the data of the target ADE index and a correlation between the ADE item and the vehicle state; and acquiring a vehicle performance evaluation result according to the target ADE score. The passenger participation is not necessary, costs can be reduced and a vehicle evaluation efficiency can be improved.

Abstract: A control device 200 includes at least one memory configured to store a program code, and at least one processor configured to access the program code and operate as instructed by the program code. The program code includes an acquisition code configured to cause the at least one processor to acquire a request for requesting determination as to whether or not a target area is usable for a predetermined purpose, and a control code configured to cause the at least one processor to perform control to cause a first flying object to fly to the target area. The acquisition code is configured to cause the at least one processor to further acquire sensing data that is data obtained by optical sensing of the target area by the first flying object. The program code further comprises a determination code configured to cause the at least one processor to determine, based on the acquired sensing data, whether or not the target area is usable for the predetermined purpose.

Abstract: A method for vehicle selection performed by a user equipment (UE) associated with a customer includes transmitting, from the UE to a vehicle control system, customer location information identifying a location of the customer. The method also includes receiving, from the vehicle control system based on transmitting the customer location information, vehicle location information and a set of compartment climate values associated with each vehicle of a set of vehicles within a range of the location of the customer. The method further includes outputting the current compartment climate value and a location associated with the vehicle location information of each vehicle of the set of vehicles for display at the UE.

Abstract: An video analysis computing system driving analysis may include a camera associated with a first vehicle and having a viewing angle capable of capturing a video of one or more other vehicles in proximity to the first vehicle, a first memory location communicatively coupled to the camera, wherein the first memory location stores video data captured by the camera, and an evaluation module including a processor executing instructions that cause the processor to: evaluate the captured video stored in the first memory location to determine whether a driving event performed by a second vehicle has occurred, assign, in response to an identified driving event performed by the second vehicle, a driving event rating to a video showing the identified driving event, wherein the driving event rating may be calculated, at least in part, using a crowd-sourced driving event rating obtained after posting the video to a social network.

Abstract: A method for vehicle management performed by a vehicle control system includes monitoring a respective location associated with each vehicle of a plurality of vehicles based on location information transmitted from each of the plurality of vehicles. The method also includes receiving, from a user equipment (UE) associated with a customer, customer location information identifying a location of the customer. The method further includes receiving, from each vehicle of the plurality of vehicles, a set of current compartment climate values based on a triggering event at the vehicle. The method still further includes selecting one vehicle of the plurality of vehicles as a preferred vehicle based on a set of climate preferences associated with the customer. The method also includes transmitting, to the preferred vehicle, a message dispatching the preferred vehicle to the location of the customer, such that the preferred vehicle navigates to the location of the customer.

Abstract: An electronic device receives operational data indicative of an operational characteristic of a vehicle from a sensor of the electronic device, a sensor of the vehicle, and/or images/videos captured by a camera. The electronic device determines that the vehicle has had a potential incident and a likelihood that the potential incident has actually occurred based on analysis of the operational data. The electronic device also receives risk management data associated with the vehicle from a database, and determines a severity level for the potential incident based on the operational data and the risk management data. The electronic device then sends a notification indicative of the potential incident based on the likelihood that the potential incident has actually occurred and the severity level for the potential incident to a third-party remote system (e.g., of a towing service, an emergency service, or both) to request assistance.

Abstract: A system for neutralization of a target aerial vehicle comprises a plurality of counter-attack unmanned aerial vehicles (UAVs) and an aerial vehicle detection system comprising at least one detection sensor operable to detect the target aerial vehicle in flight. The system also comprises an aerial vehicle capture countermeasure in the form of a net tethering the plurality of counter-attack UAVs to one another. The counter-attack UAV(s) are operable to capture and neutralize the target aerial vehicle with the net. The system can comprise at least one net storage device associated with a structure and configured to store at least a portion of the net when in a stowed position, and to facilitate deployment of the net when moved to a deployed position via coordinated flight of the plurality of counter-attack UAVs based on the detected target aerial vehicle.

Abstract: A vehicular control system includes a camera and a control having a processor that processes image data captured by the camera to determine an approaching vehicle that is approaching an intersection forward of the equipped vehicle. The system determines projected path of the equipped vehicle. Estimated time to arrival of the approaching vehicle at the intersection is determined at least in part by processing of captured image data. Responsive to determination that the equipped vehicle will complete a turn at the intersection before the estimated time to arrival elapses, the system may determine that it is safe to proceed along the projected path of travel. Responsive at least in part to determination that the equipped vehicle will not complete the turn at the intersection before the estimated time to arrival elapses, the system may determine that it is not safe to proceed along the projected path of travel.