Abstract: A method for controlling movement of an unmanned aerial vehicle (UAV) includes controlling one or more propulsion units of the UVA to cause the UAV to operate according to a first set of altitude restrictions; assessing, with aid of the one or more processors and based on one or more criteria, whether to control the UAV to operate according to a second set of altitude restrictions; and controlling the one or more propulsion units to cause the UAV to operate according to the second set of altitude restrictions in response to the one or more criteria being fulfilled according to an assessing result. The first set of altitude restrictions constrain an altitude of the UAV relative to a first reference altitude. The second set of altitude restrictions constrain the altitude of the UAV relative to a second reference altitude.

Abstract: A system and method compute a transit time for travel of a vehicle from a first site to a second site. The system and method include determining a dwell time at the second site, computing an initial predicted transit estimated time of arrival of the vehicle based on the dwell time and the transit time, and updating the initial predicted transit estimated time of arrival based upon a user workflow.

Abstract: The disclosure relates to systems, methods and programs for maneuvering unmanned vehicles. More specifically, the disclosure relates to systems, methods and programs for controlling maneuverability of unmanned vehicles (ground, aerial and marine) by coupling vehicle controls with point of regard (PoR) in a 2D plane, translated to a continuously updating flight vector in a 3D space, based on 12 DOF head pose and/or hand gesture of a user.

Abstract: An Unmanned Aerial Vehicle (UAV) control method and apparatus, a base station and a UAV relate to the technical field of wireless communication. The method can include receiving an access message from a UAV, the access message carrying a type identifier of the UAV, acquiring target supervision strategy information based on the access message, the target supervision strategy information indicating a flight criterion of the UAV, and sending a control instruction to the UAV based on the target supervision strategy information, the UAV being configured to control flight based on the control instruction. A base station, when receiving the access message of the UAV, acquires the target supervision strategy information of the UAV based on the access message and controls flight of the UAV based on the target supervision strategy information, so that it is ensured that flight of the UAV meets a supervision requirement.

Abstract: A motor vehicle theft protection and disablement system that is safe, not easy to circumvent, and offers benefits to motor vehicle owners as an incentive for their participation. The core of the invention is a system to minimize motor vehicle theft. The system comprises six elements, a motor vehicle, a programmable safety switch, a programmable transmitter, a programmable security switch, a programmable activator, and at least one remote programmable receiver transmitter.

Abstract: A method for determining transition height elements in a flight climbing stage based on constant value segment identification comprises the steps of splitting a speed component and a Mach component from a flight track, and performing linear interpolation on the two respectively; discretizing the interpolated speed component, and setting a threshold for filtering to obtain a speed discrete value set; identifying a constant-speed segment, and acquiring a maximum constant-speed value and a maximum moment of the constant-speed segment; keeping the Mach component of the track with a time no less than the constant-speed maximum moment; discretizing the kept Mach components, and filtering to obtain a Mach discrete value set; identifying a constant-Mach segment, and acquiring a constant-Mach value corresponding to a minimum moment of the constant-Mach segment; and calculating a transition height in the flight climbing stage according to the constant-speed value and the constant-Mach value obtained.

Abstract: A method for controlling an adaptive motor vehicle headlight (AMVH), wherein a first data storage device (DSD) is assigned to the AMVH, which is designed to emit different segmented light distributions having a resolution of at least 2×12 and has light sources arranged in segments for this purpose, each segment including at least one LED light source.

Abstract: A computer-implemented method when executed by data processing hardware causes the data processing hardware to perform operations. The operations include receiving a navigation route for a mobile robot. The navigation route includes a sequence of waypoints connected by edges. Each edge corresponds to movement instructions that navigate the mobile robot between waypoints of the sequence of waypoints. While the mobile robot is traveling along the navigation route, the operations include determining that the mobile robot is unable to execute a respective movement instruction for a respective edge of the navigation route due to an obstacle obstructing the respective edge, generating an alternative path to navigate the mobile robot to an untraveled waypoint in the sequence of waypoints, and resuming travel by the mobile robot along the navigation route. The alternative path avoids the obstacle.

Abstract: Techniques for perspective-preserving seamless application switching are disclosed. A system may display a first interface using a first application. The first interface includes interface elements representing a plurality of objects. The system may detect a zoom-in command, received by the first application, requesting a particular zoom level for a first interface element, corresponding to a first object in the first plurality of objects. The system may determine that the requested zoom level exceeds a threshold. Responsive to determining that the requested zoom level exceeds the threshold, the system may display, using a second application, a second interface corresponding to the first object. The second interface may include one or more of: (a) characteristics associated with the first object that were not displayed by the first application, or (b) user input elements for executing operations associated with the first object that were not displayed by the first application.

Abstract: Techniques are disclosed for locating a user device in an indoor environment such as a building based at least on a building topology model using one or more Internet of Things (IoT) devices. Certain aspects of the techniques include detecting a presence of a user device in communication with an IoT device in a building, wherein the IoT device is associated with device attributes. The building is identified based at least on a building topology model that is associated with the building and the device attributes. The location of the IoT device is determined based at least on the building topology model. The user device is located relative to the location of the IoT device.

Abstract: The disclosure provides an engine control method, system, and vehicle, and the vehicle comprises a battery and an engine, wherein the method includes: obtaining a current maximum discharge power value of the battery, and a current maximum external characteristic power value of the vehicle; obtaining a current opening value and a current opening change rate of an accelerator pedal of the vehicle; determining a driving intention based on the current opening value and the current opening change rate; and controlling start and stop of the engine according to the driving intention, the current maximum discharge power value, and the current maximum external characteristic power value of the vehicle.

Abstract: Techniques for verifying a reliability of map data are discussed herein. In some examples, map data can be used by a vehicle, such as an autonomous vehicle, to traverse an environment. Sensor data (e.g., image data, lidar data, etc.) can be received from a sensor associated with a vehicle and may be used to generate an estimated map and confidence values associated with the estimated map. When the sensor data is image data, images data from multiple perspectives or different time instances may be combined to generate the estimated map. The estimated map may be compared to a stored map or to a proposed vehicle trajectory or corridor to determine a reliability of the stored map data.

Abstract: A semi-public blockchain maintained on one or more nodes in a map cloud platform comprises data for maintaining a global map of a predetermined geographic area. The blockchain also comprises a plurality of data records, where each data record is associated with an update to a global map. When a message associated with a map update to the global map is received, the nodes of the blockchain determine a consensus by evaluating the map update, where the evaluating comprises performing a plurality of proofs including a proof of location, a proof of iterations, a proof of physical delivery and a proof of safety. When consensus is attained and the map update is validated, a data record associated with the map update is generated and added to the blockchain with a timestamp and a link to prior data records in the blockchain.

Abstract: A filter monitor system (“FMS”) module is installed on the engine/vehicle and is connected to the filter systems, sensors and devices to monitor various performance parameters. The module also connects to the engine control module (“ECM”) and draws parameters from the ECM. The FMS module is capable of interfacing with various output devices such as a smartphone application, a display monitor, an OEM telematics system or a service technician's tool on a computer. The FMS module consists of hardware and software algorithms which constantly monitor filter systems and provide information to the end-user. FMS module provides necessary inputs and outputs for electronic sensors and devices.

Abstract: There is provided a method for operating a vehicle having an automated driving system (ADS) and a fallback stop feature. The method includes obtaining sensor data and localization data including information about a surrounding environment of the vehicle, and determining a plurality of candidate paths for a prediction time horizon within a drivable area in the surrounding environment of the vehicle based on the sensor data and the localization data. Further, the method includes determining an expected trajectory of a target vehicle located in the surrounding environment of the vehicle for the prediction time horizon based on the obtained sensor data and localization data, and determining, for each candidate path, an overlap cost parameter for an overlap between the target vehicle's expected trajectory and a set of stop positions of the vehicle based on predicted executions of the fallback stop feature within the prediction time horizon.

Abstract: A system includes a computing device comprising a processor and a memory. The processor is configured to receive: vehicle data associated with a vehicle associated with a user, where the vehicle data is indicative of characteristics of the vehicle, maintenance recommendation data indicative of vehicle maintenance recommendations for the vehicle, maintenance service data indicative of maintenance services performed on the vehicle, and activity data associated with operation of the vehicle. The processor may then identify a maintenance service to be performed on the vehicle based on the received data and send a notification to a user computing device with an indication of the maintenance service to be performed.

Abstract: A vehicle control method and apparatus, a device and a computer storage medium are disclosed, which relates to the technical fields of autonomous driving and intelligent transportation. A specific implementation solution involves: determining vehicles in a preset geo-fencing region; determining a vehicle weight of each said vehicles according to a vehicle type and a waiting duration of each said vehicles; estimating, according to the vehicle weights of the vehicles in each of lanes in the geo-fencing region and positions of the vehicles in each said lanes, a duration to be waited in each said lanes; and generating a control instruction for each said vehicles according to the respective durations to be waited in each said lanes and the respective positions of the vehicles in each said lanes, the control instruction including a state instruction and/or a target speed instruction.

Abstract: An electronic device is provided. The electronic device includes a management apparatus for providing a route in a wireless communication system that includes: at least one transceiver; and at least one processor operatively connected to the at least one transceiver, wherein: at least one processor receives service information related to a service, receives cell information related to a first cell and second cells provided by a first cellular network and a second cellular network, respectively, and provides the electronic device with a service route which includes at least one second cell among the second cells and is determined on the basis of the service information and the cell information; and the service is provided by the at least one second cell.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: An object is to reduce the data size of surrounding environment information to be stored. A vehicle control device that includes a processor, a first storage unit, and a second storage unit, and stores route information to a target point, the vehicle control device including: an input device that acquires route information of a vehicle and surrounding environment information around the vehicle; and a short-term storage information processing unit that stores the route information and the surrounding environment information acquired while the vehicle is traveling into the first storage unit as short-term storage information, in which the short-term storage information processing unit calculates a feature degree of the surrounding environment information when storing the route information, and temporarily stores the surrounding environment information in which the feature degree is equal to or greater than a predetermined value into the first storage unit as the short-term storage information.