Abstract: A method for controlling movement of a drone is disclosed. A spatial vector between a flight-capable drone and a reference object is computed. The spatial vector defines a direction and a distance by which the drone is spaced from the reference object. Flightpath attributes based on the computed vector are determined. The flightpath attributes include one or more of a flight direction, a flight distance, and a flight speed. The flight direction is variable as a function of the direction of the spatial vector. The flight distance is variable as a function of the distance of the spatial vector. The flight speed is variable as a function of the distance of the spatial vector. In an automated operation, movement of the drone is controlled according to the determined flightpath attributes.

Abstract: In an embodiment a system includes: an automated vehicle configured to traverse a first predetermined path; and a sensor system located on the automated vehicle, the sensor system configured to detect a vertical obstacle along the first predetermined path along one or two floorboards ahead of the automated vehicle, wherein the automated vehicle is configured to traverse a second predetermined path in response to detecting the vertical obstacle.

Abstract: A system and method include receiving sensor data from a of at least a portion of a work surface of a worksite including a first one or more material properties, a first timestamp, a first location, and the like, determining a multi-layer map based at least in part from this data and including new layer commands, meeting or exceeding data thresholds, new machine operations, machine learning models, and receiving additional sensor data containing a second same, similar, and/or different information, generating a new layer and/or overwriting the existing layer data, and providing a processed map to one or more machines, memory, additional devices, and the like. The method also includes saving prior layers and/or data of overwritten layers. The method further includes causing at least a part of the multi-layer material property map to be displayed.

Abstract: A control device including an acquisition unit configured to acquire information related to an overview of a structure, and a flight information generating unit configured to generate flight information of a flying body being caused to fly over a periphery of the structure to image the structure on the basis of the information acquired by the acquisition unit. The control device generates information used to cause the flying body to image the structure, and thereby makes it possible to make more efficient the inspection performed by the flying body capable of performing imaging.

Abstract: The disclosure relates to a sensor assembly for a vehicle, comprising: a sensor body; and a positioning bracket for positioning the sensor body. A first rotary shaft and a second rotary shaft are respectively provided on the opposing first and second sides of the sensor body, and the first rotary shaft and the second rotary shaft are respectively rotatably accommodated in a first rotary shaft receiving portion and a second rotary shaft receiving portion provided on the positioning bracket so as to achieve the rotation of the sensor body relative to the positioning bracket. A toothed structure is provided on a third side of the sensor body, other than the first side and the second side, and a detent structure is correspondingly provided on the positioning bracket, and when the sensor body rotates to a desired angle relative to the positioning bracket, fixing of the sensor body relative to the positioning bracket is enabled by means of the engagement between the toothed structure and the detent structure.

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 system including a sensor configured to detect an orientation of the vehicle, a vehicle ECU configured to communicate with the sensor and with a work machine, a work machine ECU configured to communicate with the vehicle and to control performance of a work function of the work machine, and wherein, the sensor is configured to communicate a detected orientation of the vehicle to the vehicle ECU, the vehicle ECU is configured to transmit a signal to the work machine ECU if the detected orientation is outside of target parameters corresponding to an orientation of the vehicle, and the signal is configured to notify the work machine ECU of the detected orientation and/or modify operation of a work function performed by the work machine.

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: 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: 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 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 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 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 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 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: 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 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: 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.