Abstract: Systems and methods for planning and filtering a path of a vehicle in a work area or field are described. An example system includes a user interface that supports a selection of a threshold value used to filter the path of the vehicle. The system also includes a data processor that receives the path that defines guidance lines and transitions between guidance lines and filters the path by deleting portions of the guidance lines that do not satisfy the threshold value. The guidance lines define movement of the vehicle though a work area or field. The system includes a guidance module that controls at least one motive function of the vehicle based on the filtered path.

Abstract: The vehicle of the present disclosure stores autonomous driving data generated during execution of autonomous driving and switch a storage mode according to an available capacity of a storage area for storing the autonomous driving data. The storage mode includes an all-storage mode and a partial-storage mode. The all-storage mode is a mode that is selected when the available capacity of the storage area is equal to or larger than a threshold value, and is a mode for storing all of the autonomous driving data. The partial-storage mode is a mode that is selected when the available capacity of the storage area is less than the threshold value, and is a mode for storing only a part of the autonomous driving data. The part of the autonomous driving data stored in the partial-storage mode includes data for reproducing autonomous driving.

Abstract: An apparatus for estimating a vehicle weight includes a memory storing computer-executable instructions and at least one processor that accesses the memory and executes the instructions. The at least one processor applies a real velocity and real acceleration to a trained real-to-virtual transformation model to obtain a virtual output set at a target time point, which includes a virtual gradient of a vehicle, a virtual velocity of the vehicle, and virtual longitudinal acceleration of the vehicle, and applies the virtual output set at the target time point and a real wheel torque at the target time point to a trained mass estimation model to obtain weight information of the vehicle. The real-to-virtual transformation model includes a first sub-model for obtaining an initial virtual velocity, a second sub-model for obtaining the virtual longitudinal acceleration, and a third sub-model for obtaining the virtual gradient.

Abstract: A method for managing taxiing paths of an aircraft includes at least one computer system, the method being implemented by the computer system. The method includes the following steps: editing an initial path; displaying a route of the initial path on a screen using a first route symbolism; obtaining a validation of the initial path; displaying a route of the validated initial path on the screen using a second route symbolism; implementing the validated initial path in a taxiing setpoint of the aircraft. The method further includes an editing process and an independent display process.

Abstract: A vehicle control method, an adapter interface, apparatus and computer readable medium for improving in vehicle connectivity. The in-vehicle connectivity is improved by: in response to determining that a mobile terminal accesses the cockpit domain controller through the adapter interface, universal serial communication connection between the mobile terminal and a terminal interface of an adapter and between a vehicle interface of the adapter and the adapter interface is established; a vehicle control instruction forwarded by the adapter is received, and the vehicle control instruction is generated by the mobile terminal in response to a user operation and transmitted to the adapter; and vehicle control corresponding to the vehicle control instruction is executed using the cockpit domain controller.

Abstract: A control device performs: determining (a) whether a length in a traveling direction of a connection area in which a first lane and a second lane are connected satisfies being a length for changing a lane of a mobile object; determining (b) whether changing the lane of the mobile object to the second lane is possible in the connection area at a mobile object speed; notifying an occupant that the mobile object is not able to change the lane before the mobile object arrives at the second lane and when (a) is not satisfied; and decelerating the mobile object to a speed at which the mobile object is able to change the lane and which is equal to or higher than the prescribed speed when the mobile object is scheduled to change the lane to the second lane and when (a) is satisfied and (b) is not satisfied.

Abstract: An information provision system according to an aspect of the present disclosure includes at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: collect, from a user terminal, position information of the user terminal and behavior information indicating a movement behavior of the user terminal moving at an acceleration higher than a predetermined value; generate a danger level map representing an attention-seeking place based on a position in which the behavior information is observed on a predetermined map; and provide the danger level map to a predetermined terminal.

Abstract: Methods and systems for user definable prioritization of market information are disclosed. An example method to prioritize market information displayed in a window within a trading interface includes updating the market information displayed in the window at a first frequency, wherein the first frequency is to correspond to a first window priority. The example method also includes, based on a trigger activation, assigning a second window priority to the window, wherein the second window priority is to cause the market information displayed in the window to update at a second frequency, the second frequency different from the first frequency.

Abstract: Various techniques can be utilized to emit a signal away from the entity generating the signal or otherwise reduce the signature in the electromagnetic spectrum of an entity in communication with another entity at a distance. Static and mobile air, land, and sea-based assets can be used with combinations of physical, wired, and wireless interactions.

Abstract: A method of operating an access door in a vehicle includes receiving, via an electronic controller, a command to open the access door and detecting an obstacle within range of operation of the access door. The method also includes generating, via a camera, a predefined image on the obstacle relative to the access door and processing, via the electronic controller, a pixelated resolution of the generated image. The method additionally includes determining, via the electronic controller, a distance of the obstacle from the access door and relative to the door's range of operation using the pixelated resolution of the image. Furthermore, the method includes limiting, via the electronic controller, the access door's range of operation when the distance of the obstacle from the door and relative to the door's range of operation is within a predetermined zone to avoid physical contact between the access door and the obstacle.

Abstract: A driving assistance control apparatus comprises a controller configured to perform, as a driving assistance control, a steering assistance control to automatically vary a steering angle of a host vehicle and/or an acceleration assistance control to automatically vary an acceleration of the host vehicle, based on at least a traveling state of the host vehicle. The controller is configured to receive a setting operation input from a driver of the host vehicle; and vary a strength degree of a steering assistance in the steering assistance control in accordance with the setting operation input, and/or vary a strength degree of an acceleration assistance in the acceleration assistance control in accordance with the setting operation input.

Abstract: A system comprises an EV with an infotainment unit, a driver App, an electric mobility service provider (eMSP) cloud and a user charging profile database to identify a Bluetooth® and time/location-based driver charging profile for its automatic selection in a charging session. The driver App is configured to communicate with the infotainment unit via a Bluetooth® interface such that a Bluetooth® MAC address being assigned to each device connected to a network is used to identify a vehicle ID and a mobile device location is used as a proxy for a vehicle location. The eMSP cloud is configured to receive the vehicle ID and the vehicle location. The user charging profile database including user charging profiles. The driver App includes a Bluetooth® plus time-based profile automatic selector for a charging session to automatically select a proper user charging profile based on the MAC address plus a day/time/location-based pre-configuration.

Abstract: To provide a work vehicle capable of improving efficiency of wrapping work by computing a wrapping travel path, based on work route records by a roll baler. A work vehicle, which moves along position information by a GNSS receiver on a map in which a work travel path and a circling travel path by a roll baler are registered, includes a work locus recording control section that records a roll release point P together with a work locus, and generates a wrapping travel path when a wrapping machine is attached, based on the recorded roll release point. The traveling direction of the wrapping travel path is set to be orthogonal to an axial direction of a cylindrical roll at the roll release point.

Abstract: Techniques for generating and/or updating a timekeeping mechanism for an ECU are described herein. Monotonic and/or global time sources may be used to generate and/or update a real time clock used by component(s) of an autonomous vehicle. In some examples, a clock manager may receive a monotonic time value from a monotonic clock and a global time value from a global clock. The clock manager may use the monotonic time value and the global time value to generate an adjustment factor. In some instances, the clock manager may store the adjustment factor in a read-only shared memory location. In such instances, vehicle component may determine a predicted current time based on reading the adjustment factor from the shared memory and the monotonic time value. Upon determining the predicted current time, the vehicle component may synchronize a real time clock of the vehicle component according to the predicted current time.

Abstract: Systems and methods of automatic correction of map data for autonomous vehicle navigation are disclosed. An autonomous vehicle system can receive first sensor data from a first sensor of an autonomous vehicle and second sensor data from a second sensor of the autonomous vehicle, the first sensor data and the second sensor data captured during operation of the autonomous vehicle; generate, based on the first sensor data, a first prediction of a dimension of a lane of a road; generate, based on the second sensor data, a second prediction of a position of the autonomous vehicle within the lane of the road; determine a confidence value for the second prediction of the position of the autonomous vehicle within the lane of the road based on the first prediction and the second prediction; and navigate the autonomous vehicle based on the confidence value.

Abstract: A vehicle control system may include a mode selector for enabling selection of an operating mode of the vehicle among a plurality of selectable operating modes, where at least one of the selectable operating modes includes an off-road driving assistance mode that controls propulsive torque and braking torque application when the off-road driving assistance mode is active. The system may further include a torque control module to generate both a propulsive torque request and a braking torque request based on a target speed set in association with the off-road driving assistance mode, a sensor network operably coupled to components of the vehicle to obtain tractive information associated with an operating context of the vehicle, and a controller operably coupled to the sensor network to receive the tractive information and modify operation of the torque control module responsive to the tractive information indicating a trigger event.

Abstract: A cargo handling control device includes: a fork lowering controller for controlling so that a fork holding a pallet is lowered toward a loading surface; a pallet posture determination unit configured to determine a posture of the pallet relative to the fork; a pallet placement controller for controlling so that the fork is placed on the loading surface depending on the posture of the pallet; and a fork withdrawal controller for controlling so that the fork is pulled out of the pallet. The pallet placement controller judges based on the posture of the pallet whether the fork is allowed to be pulled out of the pallet. When the fork is allowed to be pulled out of the pallet, the fork stops being lowered. When the fork is not allowed to be pulled out of the pallet, the fork tilts along the loading surface.

Abstract: A computer system comprising a processor device configured to receive initial image data from at least one camera of a vehicle; detect, in the initial image data, at least one predetermined target mounted to a trailer of the vehicle, the at least one predetermined target at an initial position and initial angular orientation relative to the at least one camera; position a virtual assist feature in a first position and a first angular orientation in a display view based on the initial position and the initial angular orientation of the at least one predetermined target; detect, in subsequent image data, the at least one predetermined target at a subsequent position and a subsequent angular orientation relative to the at least one camera; and adjust the virtual assist feature in the display view based on the subsequent position and the subsequent angular orientation relative to the at least one camera.

Abstract: A vehicle includes: a plurality of sensors configured to obtain state information on a nearby vehicle; and a processor that is operatively connected to the plurality of sensors. The processor is configured to: determine a degree of risk of collision between the vehicle and the nearby vehicle based on the state information on the nearby vehicle; generate a top view image based on at least one of the state information or the degree of risk of collision; and determine a collision mode which indicates whether the vehicle collides with at least on of the nearby vehicle or a predicted collision portion through an artificial neural network model using the top view image as an input.

Abstract: A method for training an automatic driving model comprises: obtaining a sample acquisition strategy of the automatic driving model; transmitting the sample acquisition strategy of the automatic driving model to a vehicle equipment, the vehicle equipment being configured to sort objective driving data from a driving data set based on the sample acquisition strategy; receiving the objective driving data from the vehicle equipment; adding the objective driving data into a training set of the automatic driving model; and training the automatic driving model based on the training set. A system for training the automatic driving model is also disclosed.