Abstract: Systems for inspecting a warehouse are disclosed. A system includes a laser scanner attachable to an industrial truck and adapted to scan in a plane substantially perpendicular to the industrial truck's main direction of travel to scan an environment of a warehouse on at least one side of the industrial truck and to generate scan data. The system includes a computing unit adapted to receive the scan data and data on the absolute position and/or relative position change of the industrial truck, or data from which one or more of these variables can be derived. The computing unit is further adapted to construct three-dimensional data of the environment on the basis of the scan data and data on the absolute position and/or relative position change of the industrial truck.

Abstract: A travel route prediction device includes a receiver to receive travel loci of a plurality of peripheral vehicles around a vehicle and positioning accuracy of each of the travel loci by vehicle-to-vehicle communication. A travel route on which the vehicle will travel in future is predicted by using the travel loci and the positioning accuracy received by the receiver.

Abstract: Provided is a method for marking a ground surface according to a predefined marking pattern using a system including a robot unit and a local base station including acts of providing two flag points, receiving global positioning data of the robot unit using a robot GNSS receiver, receiving global positioning data of the local base station using a base GNSS receiver, and establishing a local base station position using the received global positioning data of the local base station. A method wherein the predefined marking pattern is arranged relative to the two flag point positions and wherein the local base station position is a system reference point of the system. Also provided is a system for marking a ground surface according to a predefined marking pattern and the use thereof or parts thereof.

Abstract: A unified learning approach for large-scale ride-hailing is described, the approach includes obtaining an offline state value network for predicting a value of a vehicle state, the offline state value network being trained based on a plurality of historical vehicle trajectories; initializing an online state value network and dispatching a plurality of vehicles according to the online state value network for a period of time; training the online state value network based on vehicle states of the plurality of vehicles before and after the dispatching and rewards associated with the dispatching; ensembling the trained online state value network and the offline state value network to obtain an ensembled online state value network; and dispatching the plurality of vehicles according to the ensembled online state value network.

Abstract: A vehicle control method applied to a smart car key includes receiving a connection request sent by a mobile terminal, establishing a communication connection with the mobile terminal in response to the connection request, receiving identity information and authorization request information sent by the mobile terminal, determining whether the identity information is correct, and in response that the identity information is correct, sending pairing information to the mobile terminal in response to the authorization request information and sending the identity information to a vehicle to be controlled. The mobile terminal controls the vehicle through the pairing information and the identity information to perform at least one operation.

Abstract: A display control device includes an acquisition unit for acquiring a communication state of each of a plurality of communication devices, and a control unit for displaying the communication state of each of the plurality of communication devices in association with each communication device.

Abstract: A controller may receive information identifying an area of interest from a plurality of candidate areas of interest including locations on the machine and external to the machine. The controller may obtain, using the one or more first sensor devices, data identifying material located at the area of interest; and generate a graphical representation based on the data. The controller may determine, using the one or more second sensor devices, at least one of a position or an orientation of one or more portions of the machine; and identify a portion of the graphical representation based on the at least one of the position or the orientation of the one or more portions. The portion may correspond to the material located at the area of interest. The controller may determine, using one or more computational models, a volume of the material based on the portion of the graphical representation.

Abstract: A vehicle control system includes a portable device configured to store information on an electronic lock of a vehicle and an in-vehicle controller configured to communicate with the portable device, the in-vehicle controller being installed in the vehicle. The in-vehicle controller is configured to generate a permission command to permit the specific operation to be performed when the in-vehicle controller determines that the operation requested to be performed on the vehicle is a specific operation that needs permission from the authorized user, in-vehicle controller when the in-vehicle controller determines that the portable device is within a predetermined range around the vehicle, and when the in-vehicle controller determines that near field communication between the portable device and the communication terminal based on a first telecommunications standard is established.

Abstract: A vehicle has a plurality of control apparatuses, a user input, a geographic position component, an object detection apparatus, memory, and a display. A processor is also included and is programmed to receive the destination information, identify a route, and determine the current geographic location of the vehicle. The processor is also programmed to identify an object and object type based on object information received from the object detection apparatus and to determine at least one warning characteristic of the identified object based on at least one of: the object type, a detected proximity of the detected object to the vehicle, the location of the detected object relative to predetermined peripheral areas of the vehicle, the current geographic location of the vehicle, and the route. The processor is also configured to select and display on the display an object warning image based on the at least one warning characteristic.

Abstract: A shovel includes a lower traveling body, an upper turning body turnably attached to the lower traveling body, an actuator mounted on the lower traveling body or the upper turning body, and a controller configured to set a prohibited area for an obstacle located in a work area and restrict movement of the actuator. The controller determines whether the shovel has entered the prohibited area, and slows or stops movement of the shovel in response to determining that the shovel enters the prohibited area.

Abstract: A work machine includes work equipment. A control device of the work machine includes a trajectory generation unit, and an operation signal output unit. The trajectory generation unit generates a target trajectory of the work equipment according to an excavation curve ratio determined in advance. The excavation curve ratio is expressed as a ratio of an excavation depth to an excavation length. The operation signal output unit outputs an operation signal for the work equipment according to the target trajectory.

Abstract: A behavior control device for a vehicle includes: a first actuator configured to apply a vertical control force to a left wheel on a first axle, the first axle being a front axle or a rear axle of the vehicle; a second actuator configured to operate independently of the first actuator and to apply a vertical control force to a right wheel on the first axle; and a controller. The controller is configured to calculate a required value of a behavior parameter representing a behavior of the vehicle, convert the required value of the behavior parameter to a first required force for the first actuator and a second required force for the second actuator, and control the first actuator such that the vertical control force applied to the left wheel on the first axle becomes the first required force.

Abstract: Embodiments described herein provide systems and methods for generating a three-dimensional virtual track model. This track model may be used, for example, in collision prevention and mitigation systems and methods, such as those described herein, and in other collision prevention and mitigation systems and other mining systems using virtual track models. In some embodiments, the systems and methods described herein provide a simplified modeling process that enables quick, accurate modeling of tracks of a mining machine that can account for custom tracks that vary in size depending on the particular mining machine.

Abstract: A work machine includes a work implement. A control system for the work machine includes a controller configured to operate the work implement according to a target trajectory for a backward movement while the work machine is moving backward. A method is performed by a processor for controlling a work machine including a work implement. The method includes operating the work implement according to a target trajectory for a backward movement while the work machine is moving backward.

Abstract: A method for controlling a robot. The method includes receiving an indication of a target configuration to be reached from an initial configuration of the robot, determining a coarse-scale value map by value iteration, starting from an initial coarse-scale state and until the robot reaches the target configuration or a maximum number of fine-scale states has been reached, determining a fine-scale sub-goal from the coarse-scale value map, performing, by an actuator of the robot, fine-scale control actions to reach the determined fine-scale sub-goal and obtaining sensor data to determine the fine-scale states reached, starting from a current fine-scale state of the robot and until the robot reaches the determined fine-scale sub-goal, the robot transitions to a different coarse-scale state, or a maximum sequence length of the sequence of fine-scale states has been reached and determining the next coarse-scale state.

Abstract: A synthetic jet actuator includes a cavity layer having an internal cavity for reception of a fluid volume and an orifice providing a fluid communication between the cavity and an external atmosphere; an oscillatory membrane having a piezoelectric material adapted to deflect the oscillatory membrane in response to an electrical signal; and a controller configured to control delivery of electrical signals to the piezoelectric material for controlling operation of the oscillatory membrane based on input data received from one or more sources that informs on a temperature and/or performance level of a targeted objected for cooling. The actuator may further include a thermal element for affecting modified temperature control; and the actuator may be integrated into a surface of a thermally diffusive structure for dissipating heat from a thermal load.

Abstract: Techniques are disclosed for performing custom waypoint missions using an onboard computing device in communication with a movable object. The movable object can include a flight controller, and a communication system. The flight controller can be in communication with the onboard computing device which includes a processor and an onboard data manager. The onboard data manager can receive at least one input, determine one or more instructions to be performed by the at least one movable object based on the at least one input, generate movement commands to implement the one or more instructions, and send movement commands to the flight controller to be executed.

Abstract: A vehicular control system is presented where the contact patches of the vehicle have reduced impact on an environment. Vehicular control systems include force sensors and terrain sensors that provide real-time or near real-time information about the operating environment of a vehicle. The force sensor data may be used to derive one or more forces which can be used to infer the nature of the vehicles contact patches. As the vehicular control system detects changes in a terrain attribute from the terrain sensors, the vehicular control system determines what the contact patches should be to address the terrain change and determines the necessary forces to give rise to the target contact patches. The vehicular control systems may then adjust the operational parameter values of the vehicle to generate the target contact patches to thereby reduce the impact on the environment.

Abstract: Performance mapping of equipment performance parameters by capturing, mapping, and/or structuralizing equipment performance data of a device for installation in a system. This includes generating performance maps which outline the expected feature performance parameter behavior of the equipment based on a set of operating parameters that capture the operating conditions. Each performance parameter on the map is representative of an operating point of specific operating conditions taken at a particular point in time. In one example, a performance parameter can be defined by an individualized set of parameter coefficients which in turn are dependent on instantaneous operating conditions.

Abstract: Embodiments disclosed herein provide for a method including configuring a self-learning safety sign to: establish vehicle-to-everything (V2X) communications with a two-wheeler equipped with a V2X transceiver and positioned at a ride point and/or ridden along a common and divergent route according to a setup stage for the safety sign; receive ride parameters in the V2X communications from the two-wheeler associated with the positioning and/or riding of the two-wheeler; and analyze the received ride parameters to create a ride model for determining a future route to be taken by any two-wheeler in V2X communication with the safety sign.