Abstract: A method of controlling a secondary drivetrain of an electrically powered vehicle includes receiving a connect request for a disconnect mechanism, which includes a first and second clutch member. The second clutch member is biased to a disconnected state from the first clutch member and axially moveable into a connected state to transfer torque from an electric motor to the wheels. An initial current is applied to an actuator of the second clutch member, but the initial current does not overcome the bias on the second clutch member. The electric motor rotates the first clutch member such that a speed difference relative to the second clutch member is reduced below a threshold level. The method applies an additional current to the actuator, which overcomes the bias and connects the clutch members to transfer torque. The time to connect the clutch members is reduced because the initial current was already applied.

Abstract: A method includes obtaining multiple parameters associated with operation of a turbine engine. The method also includes applying a model predictive control algorithm to the parameters to predict a future torque value of a shaft of the turbine engine, the future torque value indicating a likelihood of future shaft shear. The method further includes, in response to the future torque value being outside of an expected range, performing an action to reduce risk of the future shaft shear.

Abstract: This application disclose a method for constructing an indoor map. The method includes: obtaining a plurality of first tracks and a second track, where each first track is a flat-layer track located on an indoor horizontal layer, the second track is a cross-layer track located between different indoor horizontal layers, and a first wireless signal information similarity between each first track point of the first track and each second track point is less than a first threshold; and performing layering on the plurality of first tracks based on a second wireless signal information similarity between the plurality of first tracks, to obtain a layering result, where the layering result may be used to construct an indoor map.

Abstract: In a navigation system, a data center is connected to a plurality of vehicles via a communication network. The data center receives video data and stores the received video data in a storage device, the received video data being data of a video captured by a drive recorder and provided from a first vehicle among the plurality of vehicles, the first vehicle having a destination that is set such that route guidance until arrival at the destination cannot be accomplished by the navigation device, the first vehicle having arrived at the destination. The data center transmits the video data stored in the storage device to a second vehicle among the plurality of vehicles, the second vehicle having the destination set in the navigation device. The navigation device of the second vehicle performs guidance to the destination by replaying the received video after the route guidance around the destination is terminated.

Abstract: A hybrid electric vehicle includes a control device that performs travel control and battery control. The battery control includes: first discharge control that sets a lower limit voltage of the battery to a first lower limit value when the battery is not in a warm-up state of the catalyst device, and sets battery dischargeable power to a first upper limit value; and second discharge control that sets a lower limit voltage of the battery to a second lower limit value that is smaller than the first lower limit value when the battery is in a warm-up state of the catalyst device, and sets the battery dischargeable power to a second upper limit value that is larger than the first upper limit value. The travel control includes transient control for causing the battery to output power that is a sum of the battery dischargeable power and a temporary increase.

Abstract: A vehicular navigation system includes an electronic control unit (ECU) having electronic circuitry and associated software. The ECU is operable to determine routes for a vehicle equipped with the vehicular navigation system based at least in part on map data. The ECU, to route the vehicle from a starting location to an ending location, determines one or more candidate routes from the starting location to the ending location. For each determined candidate route, the ECU determines a respective energy efficiency for travel of the vehicle along the respective determined candidate route based at least in part on environmental temperature data for at least one location along the respective determined candidate route. The ECU selects one of the determined candidate routes for the vehicle to travel along based on the determined respective energy efficiency for travel of the vehicle along each determined candidate route.

Abstract: Disclosed are a method for controlling an outrigger of a pump truck, a method for controlling the pump truck and the pump truck. The method for controlling the outrigger of the pump truck of the present disclosure includes: obtaining a first tilting angle of an entire pump truck after a boom is unfolded; and in a case that the first tilting angle is larger than or equal to a first preset value, obtaining a current error count, and controlling the outrigger to act based on the current error count.

Abstract: A data storage system for automated driving, includes: a non-volatile memory device; a dedicated memory configured to be managed by an external host as a system memory; an auxiliary power supply configured to provide an auxiliary power; and a storage controller configured to, under control of the external host, store user data in the nonvolatile memory device and store sensor data in the dedicated memory in a ring buffer manner, wherein the storage controller is further configured to, based on a trigger condition being satisfied, flush at least a portion of the sensor data stored in the dedicated memory to the non-volatile memory device by using the auxiliary power.

Abstract: A method for determining a permissible state variable boundary value of a technical system in a vehicle. The controllability of a subsystem is ascertained on the basis of an ASIL index and is determined from the controllability of the state variable boundary value.

Abstract: A charge receiving system comprises a first charge receiving rail and a second charge receiving rail attached to a roof of a compartment of a locomotive. The first charge receiving rail is disposed at a first angle relative to a center line of the roof in a longitudinal direction of the locomotive and extends beyond a first edge of the roof, and is configured to electrically contact a first charging contact of an external charging unit and electrically connect to a first polarity terminal of one or more batteries. The second charge receiving rail is disposed at a second angle relative to the center line of the roof and extends beyond the first edge of the roof, and is configured to electrically contact a second charging contact of the external charging unit and electrically connect to a second polarity terminal of the one or more batteries.

Abstract: A vehicle that autonomously delivers a package includes a control unit that captures a first image when the vehicle leaves the package at a first position and transmits the first image to a user and drives the vehicle such that a delivery point is corrected from the first position to a second position based on correction information for correcting the delivery point, the correction information being information from the user who has confirmed the first image, when receiving the correction information.

Abstract: A vehicle control apparatus and a method thereof are provided. The vehicle control apparatus includes a memory storing a program instruction and a processor that executes the program instruction. The processor obtains reference states of health (SOHs) for each vehicle type, which are determined through evaluation of durability of batteries for each vehicle type, identifies which vehicle type of battery a battery of a host vehicle corresponds to, identifies a reference SOH of the host vehicle, which is corresponds to the battery of the host vehicle, among the reference SOHs for each vehicle type, and controls at least one of a temperature of the battery or an output of the battery, or any combination thereof, based on that it is identified that an SOH of the battery of the host vehicle is smaller than the reference SOH of the host vehicle.

Abstract: A picking-up robot is successfully made more compact. The robot arm includes a plurality of arm tubes that fit one within another in a nested manner. A push chain is inserted in the robot arm. The push chain is connected to a foremost arm tube at one end of the push chain. A sprocket is rotatably attached to the strut. The push chain is engaged on the sprocket.

Abstract: A computer-implemented system and method provide for searchable integration of operating images and geospatial data, particularly for agricultural field operations or construction worksites in which visual images may be captured by work vehicles during normal operation rather than requiring specific trips by employees or agronomists. Captured images are uploaded from sensors associated with a work vehicle traversing a work area, along with associated geospatial data, to a remote data storage device via a communications network. The uploaded images and geospatial data are selectively correlated with respect to a geospatial map. Responsive to user input corresponding to a selected one or more nodes in the geospatial map, at least one of the uploaded images is identified as corresponding to the selected one or more nodes. A display is generated representing the identified at least one of the uploaded images on a display unit associated with the received user input.

Abstract: A self-propelled guide unit configured to connect to and guide a self-propelled load bearing unit, such that the self-propelled load bearing unit can travel on a floor surface when the self-propelled guide unit and the self-propelled load bearing unit are connected. The self-propelled guide unit being configured to receive at least one parameter from the self-propelled load bearing unit, use the at least one parameter in the generation of a control signal, and transmit the generated control signal to the self-propelled load bearing unit for controlling the propulsion of the self-propelled load bearing unit.

Abstract: An in-vehicle electronic controller includes a risk map generating unit that determines a traveling risk level in an area around the vehicle, based on external environment information acquired by an external environment sensor installed in the vehicle, movement information on the vehicle, and map information, and that maps the traveling risk level onto a map to generate a risk map; and a track generating unit that generates a traveling track of the vehicle, using the risk map. The track generating unit generates at least one binarized image representing the risk map divided into a low risk area and a high risk area, by a binarization process by which whether the traveling risk level is larger than a given set value is determined, performs a thinning process on the at least one binarized image to determine a center line in a width direction of the low risk area, and generates a traveling track of the vehicle, based on the determined center line.

Abstract: Provided is a method for autonomous unmanned aerial vehicle (UAV) landing, including: collecting an unmanned vehicle image dataset in advance, training an unmanned vehicle detection model by using the unmanned vehicle image dataset combined with a YOLOv5 neural network; collecting, by the UAV during a landing process, images of an area below the UAV at specified time intervals, inputting the collected images into the unmanned vehicle detection model for recognition and detection; if an unmanned vehicle is recognized, further determining position information of the unmanned vehicle, and outputting, by a control module, a long-range guidance control instruction, to instruct the UAV to fly to a specified distance position above the unmanned vehicle; collecting, by the UAV, an image of a target and determining position information of the target, and outputting, by the control module, a short-range guidance control instruction to instruct the UAV to land on an unmanned vehicle platform.

Abstract: An autonomous driving system could create or exacerbate a hazardous driving situation due to incorrect machine learning, algorithm design, sensor limitations, environmental conditions or other factors. This technology presents solutions that use machine learning to detect when the autonomous driving system is in this state e.g., erratic or reckless driving and other behavior, in order to take remedial action to prevent a hazard such as a collision.

Abstract: A method and apparatus for predicting altitude using compressed road information are provided. The method includes generating two-dimensional compressed road information associated with a designated reference point of each of one or more sections of a road distinguished in a predetermined manner based on two-dimensional original road information. The method also includes generating compressed altitude information corresponding to the designated reference point based on map information including original altitude information. The method additionally includes predicting front gradient information based on three-dimensional compressed road information having the two-dimensional compressed road information and the compressed altitude information, a location of a vehicle, and a driving direction of the vehicle.

Abstract: A computer-implemented method, a computer system, and a computer program product are provided. A first computer receives a message that indicates a destination location for a drone flight. The first computer generates a first recommendation for a route from a departure location to the destination location for the drone flight. The generating includes relying on a first safety matrix that represents a geographical area that includes the departure and destination locations. The first safety matrix includes rows and columns of numbers. Each number represents a first safety factor for a respective portion of a map that illustrates the geographical area. The generating also includes relying on a first analysis regarding a direct route between the departure and destination locations. The first analysis includes analyzing values of the first safety matrix along portions representing the direct route.