A control device that controls a straddle type vehicle, the control device comprising: a route information acquisition unit configured to acquire information of a scheduled travel route of the straddle type vehicle; a weather information acquisition unit configured to acquire weather information corresponding to the scheduled travel route; a determination unit configured to determine whether the scheduled travel route of the straddle type vehicle is to be affected by weather based on the weather information; and a control unit configured to control a function related to a traveling state of the straddle type vehicle, based on a determination result of the determination unit.

A control device that controls a straddle type vehicle, the control device comprising: a route information acquisition unit configured to acquire information of a scheduled travel route of the straddle type vehicle; a weather information acquisition unit configured to acquire weather information corresponding to the scheduled travel route; a determination unit configured to determine whether the scheduled travel route of the straddle type vehicle is to be affected by weather based on the weather information; and a control unit configured to control a function related to a traveling state of the straddle type vehicle, based on a determination result of the determination unit.

An example method for discovering and grouping application endpoints in a network environment is provided and includes discovering endpoints communicating in a network environment, calculating affinity between the discovered endpoints, and grouping the endpoints into separate endpoint groups (EPGs) according to the calculated affinity, each EPG comprising a logical grouping of similar endpoints for applying common forwarding and policy logic according to logical application boundaries. In specific embodiments, the affinity includes a weighted average of network affinity, compute affinity and user specified affinity.

A method for controlling the distribution of power to a traction motor in a plug-in electric vehicle having a plurality of on-board sources of electric power. Power is distributed at a normal power control relationship in response to an operator control input during operation in a normal mode. Power is depleted at a first rate during operation of the vehicle in the normal mode. Power is distributed at a derate power control relationship in response to the operator control input during operation in a derate mode. Power is depleted at a second rate that is less than the first rate during operation in the derate mode to conserve the power of the one or more on-board sources. Operation in the derate mode can be initiated in response to information from sensors identifying a vehicle condition indicating a battery charge limitation.

A method of controlling a powertrain of a vehicle is carried out such that during shifting in which a first clutch is released and a second clutch is engaged, whether a current shift phase is a torque phase or an inertia phase is determined. Different cost functions for the torque phase and the inertia phase are predefined. A control input change for minimizing the cost functions in the torque phase and the inertia phase is calculated. At least two among input torque, first clutch torque, or second clutch torque input to a transmission are controlled by applying the control input change calculated for the torque phase and the inertia phase.

A method of controlling a powertrain of a vehicle is carried out such that during shifting in which a first clutch is released and a second clutch is engaged, whether a current shift phase is a torque phase or an inertia phase is determined. Different cost functions for the torque phase and the inertia phase are predefined. A control input change for minimizing the cost functions in the torque phase and the inertia phase is calculated. At least two among input torque, first clutch torque, or second clutch torque input to a transmission are controlled by applying the control input change calculated for the torque phase and the inertia phase.

Examples relating to vehicle velocity calculation using radar technology are described. An example method performed by a computing system may involve, while a vehicle is moving on a road, receiving, from two or more radar sensors mounted at different locations on the vehicle, radar data representative of an environment of the vehicle. The method may involve, based on the data, detecting at least one scatterer in the environment. The method may involve making a determination of a likelihood that the at least one scatterer is stationary with respect to the vehicle. The method may involve, based on the determination being that the likelihood is at least equal to a predefined confidence threshold, calculating a velocity of the vehicle based on the data from the sensors. The calculated velocity may include an angular and linear velocity. Further, the method may involve controlling the vehicle based on the calculated velocity.

Examples relating to vehicle velocity calculation using radar technology are described. An example method performed by a computing system may involve, while a vehicle is moving on a road, receiving, from two or more radar sensors mounted at different locations on the vehicle, radar data representative of an environment of the vehicle. The method may involve, based on the data, detecting at least one scatterer in the environment. The method may involve making a determination of a likelihood that the at least one scatterer is stationary with respect to the vehicle. The method may involve, based on the determination being that the likelihood is at least equal to a predefined confidence threshold, calculating a velocity of the vehicle based on the data from the sensors. The calculated velocity may include an angular and linear velocity. Further, the method may involve controlling the vehicle based on the calculated velocity.

A system and method of positioning a grapple of a skidder based on ground conditions and felled timber characteristics, or other material characteristics, such as conduit characteristics for pipe, being moved by the skidder. The vehicle includes a level sensor to determine slope of the vehicle based on ground slope and a traction device to determine a slip condition of the vehicle. Level sensors can include a gyroscope, an accelerometer, or a pitch/roll/yaw sensor. The grapple assembly is automatically positioned based on the vehicle slope, the slip condition, and the weight and/or the length of the felled timber being collected by the grapple.

A device for controlling an automated driving operation of a vehicle may have at least two brake systems, at least two steering systems, an engine controller, a first automated drive controller, a second automated drive controller, a surroundings sensor assembly, and inertial sensors. A third automated drive controller at least controls the vehicle into a standstill. The device is configured such that the automated driving operation is initiated and/or maintained only when the brake systems, steering systems, and at least two of the automated drive controllers are functional and such that the automated driving operation is interrupted if only one of the automated drive controllers is functional and/or if one of the brake systems and/or steering systems is not functional and/or if the engine controller is not functional, in which case the still functional automated drive controller assumes control of the vehicle and guides the vehicle into a standstill.