Abstract: A display control unit displays a background of a touch panel in a first color and does not display a button for starting autonomous driving on the touch panel when an autonomous driving vehicle is not permitted to travel in autonomous driving from a management center and displays the background of the touch panel in a second color different from the first color and displays an autonomous driving start button for starting the autonomous driving on the touch panel when the autonomous driving vehicle is permitted to travel in autonomous driving from the management center.

Abstract: A driving assistance apparatus is configured to perform an assistance control of assisting in driving a vehicle, when a first condition and a second condition are satisfied, in a situation in which a target is recognized. The driving assistance apparatus is provided with: a determinator configured to determine a state of the assistance control. The determinator is configured (i) to determine that the state of the assistance control is a standby state if a standby condition is satisfied, wherein the standby condition requires that the first condition is satisfied, but the second condition is not satisfied, in the situation in which the target is recognized, and (ii) to determine that the state of the assistance control is an interruption state if an interruption condition is satisfied, wherein the interruption condition requires that the first condition is no longer satisfied while the satisfaction of the standby condition is continued.

Abstract: A connected diagnostic system (CDS) for mobile assets that includes an onboard processing unit and a remote web-based platform that provides a remote view of an onboard display and/or Human Machine Interface (HMI) of the mobile asset. The onboard display and/or HMI can be the mobile asset's own onboard display or an onboard display can be included with the CDS. The onboard processing unit receives data from data sources onboard the mobile asset, such as onboard systems and onboard subsystems, and/or data sources remote from the mobile asset and displays the data on the onboard display, using wired communication channels, and on the remote web-based platform, using wireless communication channels. The onboard processing unit can also receive data from a data acquisition and recording system (DARS) for mobile assets that includes a data recorder.

Abstract: The invention relates to a method for operating a motor vehicle (1) which has an electrical machine (7) with at least three phases, an electrical energy store (13) and a power electronics system (12) having a plurality of switching elements, wherein the switching elements of the power electronics system (12) are actuated for electrically connecting the phases to the energy store (13), in order to produce a generator deceleration moment. Provision is made for a driving situation of the motor vehicle (1) to be determined, wherein an actuation method is selected from amongst a group of at least two possible actuation methods according to the determined driving situation, and wherein the switching elements are actuated according to the selected actuation method.

Abstract: A self-moving device includes a body, a walking assembly arranged on the body, and a control system arranged in the body. The self-moving device further includes an optical receiving device and at least two optical emitting devices arranged on the body. Paths of emitted light emitted by the at least two optical emitting devices are different. The optical receiving device is adapted to receive a reflected light formed after the emitted light emitted by at least one of the optical emitting devices hits an obstacle. A distance measuring method of the self-moving device is also disclosed.

Abstract: A vehicle control system controls a steer-by-wire type vehicle. The vehicle control system executes: reaction force control that applies a steering reaction force to a steering wheel; and driving assist control that assists driving of the vehicle. The reaction force control includes road information transmission control that applies a steering reaction force component corresponding to an oscillation caused by road surface unevenness to the steering wheel. The vehicle control system deactivates the road information transmission control when a deactivation condition is satisfied. The deactivation condition is that the driving assist control is in operation and a steering parameter reflecting a driver's steering intention is less than a threshold. As another example, the deactivation condition is that the driving assist control that vibrates the steering wheel for notifying the driver of a possibility of a lane departure is in operation.

Abstract: A train management method includes sending a registration request to a takeover zone controller (ZC) in response to determining that the train enters an area of co-management, so that the takeover ZC calculates a second movement authority (MA) of the train according to the registration request and exchanges information with a handover ZC, determining a target MA according to a first MA of the handover ZC for the train and the second MA of the takeover ZC for the train, and traveling according to the target MA within the area of co-management. The area of co-management is composed of a part of an area of management of the handover ZC and a part of an area of management of the takeover ZC.

Abstract: A system and method for providing an agent action anticipative transformer that include receiving image data associated with a video of a surrounding environment of an ego agent. The system and method additionally include analyzing the image data and extracting short range clips from the image data. The system and method also include analyzing the short range clips and extracting clip-level features associated with each of the short range clips. The system and method further include executing self-supervision using causal masking with respect to the extracted clip-level features to output action predictions and feature predictions to enable ego-centric action anticipation with respect to at least one target agent to autonomously control the ego agent.

Abstract: A system includes a vehicle event recorder and a modem. The vehicle event recorder is configured to receive a sensor data signal from a sensor that is mounted on a vehicle trailer. The modem is configured to demodulate the sensor data signal to create a modulated sensor data signal. The demodulated sensor data signal is received using a first line. The first line is coupled via a harness to sensor on a vehicle trailer.

Abstract: Backing a vehicle around objects and vehicles is assisted by digitally mapping the location and size/footprint of objects and vehicles. A path for the vehicle to follow is generated by mathematically concatenating small segments of lines of various shapes iteratively, until a mathematical spline curve extending from the vehicle's starting point to a desired end point is generated, the shape of which will safely route the vehicle around objects. The starting and ending points of the spline curve, control points and inflection points are also mapped and wirelessly transmitted provided to a display device for the driver or to the vehicle's steering controls.

Abstract: A control apparatus includes a first controller which controls an operation of a door of a railway vehicle, a second controller capable of controlling the operation of the door, and a diagnosis tester. The diagnosis tester performs a diagnosis related to an abnormality in the second controller when performing a start process which accompanies turning on power of the control apparatus.

Abstract: Methods, computer-readable media, software, and apparatuses may collect, in real-time and via an edge-computing device located in a vehicle, vehicle driving event data including data indicative of driving characteristics associated with an operation of the vehicle. The edge-computing device may analyze, based on a machine learning model, characteristics of the vehicle driving event data. The edge-computing device may, based on the machine learning model, determine at least one of: a driving behavior, a driver rating, occurrence of a collision, and vehicle diagnostics, and the information may be displayed via a graphical user interface to a user in the vehicle.

Abstract: A joystick outputs an operating signal indicating a tilt amount and a twist direction of the joystick. A controller receives the operating signal and controls a marine propulsion device to output a thrust having a magnitude depending on the tilt amount. The controller changes a rudder angle of the marine propulsion device such that a watercraft turns in a direction corresponding to the twist direction. The controller reduces a speed of changing the rudder angle with an increase in the magnitude of the thrust.

Abstract: In an aspect, a system for modifying a physical transfer path includes a computing device configured to generate an initial physical transfer path, wherein generating further comprises receiving a request for an alimentary combination, determining a first transfer party as a function of a geolocation area, determine a trouble state as a function of the initial physical transfer path, wherein determining further comprises receiving a delayed delivery notification, and determining the trouble state as a function of the delayed delivery notification and the initial physical transfer path using a trouble machine-learning model, and produce a modified physical transfer path, wherein producing further comprises receiving a delivery time threshold, identifying an alternate transfer party as a function of the trouble state, and producing the modified physical transfer path as a function of the delivery time threshold and the alternate transfer party using a transfer machine-learning model.

Abstract: A system or method for individualized coolant flow to each of a plurality of energy storage devices 10 housed in an electric vehicle. Each energy storage device 10 includes a heat exchanger 11 coupled in thermal conductivity with a segmented battery module 13. The segmented battery module 13 includes battery cells 13B and sensors (13C, 13D, and 13E). The heat exchanger 11 includes an HE flow controller 11C. Individual sensor information for each energy storage device 10 is collected via the BMU 13A of each segmented battery module 13. The charging SCC 22 uses this individual sensor information to calculate the HE flow rate of coolant pumped through each energy storage device's 10 heat exchanger 11 to cool the battery cells 13B of the energy storage device 10. Coolant delivered to the heat exchangers 11 is cooled by an external cooling unit 21 of a power source 20 during each charging session.

Abstract: A service vehicle provides a platform for servicing a container handling vehicle while on a grid-based rail system of a three-dimensional storage grid of an automated storage system for storing storage containers. The service vehicle includes two or more wheel modules. Each module having a first set of wheels configured to move the vehicle along a first lateral direction of the grid-based rail system and a second set of wheels configured to move the vehicle along a second lateral direction of the grid-based rail system. The second direction is perpendicular to the first direction. A platform is mounted on the two or more wheel modules. The platform includes an enclosure that has at least one opening that can be closed by a barrier. The platform has a set of tracks matching the width of the tracks on the grid.

Abstract: A vehicle control device of an embodiment includes a recognizer that recognizes a surroundings situation of a vehicle, a driving controller that controls one or both of steering and acceleration or deceleration of the vehicle, and a first receiver that receives an operation of switching between driving modes, the driving controller causes the vehicle to travel in any of a plurality of driving modes including a first mode and a second mode in which a task imposed on an occupant of the vehicle is lighter than that in the first mode, and the driving controller switches the driving mode from the first mode to the second mode after a speed of the vehicle reaches a target speed when a traveling environment is such that the first mode is being executed and the second mode is able to be executed and when an operation of switching to the second mode.

Abstract: An exemplary embodiment of the present disclosure relates to an apparatus providing drive guide information of a construction equipment includes: an information acquisition unit acquiring information generated according to a motion of the construction equipment; a storage unit storing an item defined for calculating a score for worker driving of the construction equipment and an equation for calculating the score for the item, and storing a guide phrase for each item and information on equipment setting change for each item; a control unit calculating the score for each item according to the information provided, and selecting an item which needs to be improved based on the calculated score for each item; and a display unit displaying a guide phrase matching an item selected according to an instruction of the control unit and information on equipment setting change matching the selected item at a predetermined time.

Abstract: A vehicle control device controls a vehicle including an internal combustion engine, an electric motor, and a drive wheel driven by an output of at least one of the internal combustion engine and the electric motor. When the internal combustion engine is in a cylinder deactivation operation, if a target torque reaches a cylinder deactivation bottom torque at which a value of a cylinder deactivation brake specific fuel consumption, which is a brake specific fuel consumption when the internal combustion engine is in the cylinder deactivation operation, is minimized, the vehicle control device executes cylinder deactivation bottom assist control for increasing a motor torque output from the electric motor in accordance with an increase in the target torque while maintaining an engine torque output from the internal combustion engine at the cylinder deactivation bottom torque.

Abstract: A method and a controller unit for controlling motion of a watercraft with a hydrofoil) obtains information indicating shape of water surface in front of the hydrofoil. The controller unit further predicts wave acceleration of the watercraft using a neural network. Furthermore, the controller unit determines a target route and corresponding total acceleration of the watercraft under a set of constraints. The total acceleration is minimized when the watercraft travels according to the target route. The set of constraints includes: a first constraint that the hydrofoil stays within an interval relative to the water surface, and a second constraint relating to magnitude of acceleration derived from maximum AoA and the predicted wave acceleration. The controller unit calculates an AoA for the target route. Next, the controller unit sends a signal for adjusting the hydrofoil according to the AoA.