Abstract: A vehicle control system includes: a terminal configured to be carried by a user; and a control device configured to execute a remote autonomous moving process to move a vehicle from an initial position to a prescribed stop position based on an input from the terminal and to stop the vehicle at the stop position. The remote autonomous moving process proceeds on condition of continuation of a reciprocating operation on the terminal by the user, and has a plurality of modes in which a vehicle speed to move the vehicle is set to values different from each other. The control device or the terminal is configured to select one of the plurality of modes based on a speed of the reciprocating operation.

Abstract: An electronic control system is configured to control operation of a platoon including a plurality of vehicles. The electronic control system may be configured one or more of operate each of the vehicles to provide operation emulating the lowest non-platooning vehicle performance capability among the plurality of vehicles of the platoon, operate an individualized predictive cruise control (IPCC) process for each of the vehicles and a corresponding supervisory safety process for the platoon, and operate a cooperative predictive cruise control (CPCC) process for each of the vehicles and a corresponding supervisory safety process for the platoon.

Abstract: A self-propelled construction machine comprises a machine frame having a working means arranged thereon, and a drive means for driving left and right crawler tracks at respective predetermined chain speeds. A control unit is configured such that, based on a distance between a front reference point with respect to the machine frame in the working direction and a predetermined path, the chain speed(s) of the left and/or right crawler track is predetermined such that the front reference point moves on the predetermined path. The control unit is further configured such that, during cornering, the control is corrected based on a distance between a rear reference point with respect to the machine frame in the working direction and the predetermined path such that the distance between the rear reference point with respect to the machine frame in the working direction and the predetermined path is reduced.

Abstract: A system and method for differential traction drive and steering axis coordination for an autonomous mower or other turf device includes initiating a steering motion based on determining a target forward speed and a steering rotational speed, calculating a left wheel speed and a right wheel speed, and applying the left and right wheel speeds, wherein the steering rotational speed is driven by a steering motor and the traction wheels associated with the autonomous mower, and the left and right wheel speeds are based on the target forward speed, a distance from a steering axle to the center of the respective wheel, and the steering rotational speed.

Abstract: The present disclosure relates to a self-propelled robotic tool (1) and a method in a self-propelled robotic tool (1), being used to detecting lifting of the self-propelled robotic device from the ground. The method includes collecting (21) driving data (31) related to the driving of a wheel (5), collecting (23) measured inertia data from an inertial measurement unit (13), IMU, in the self-propelled robotic tool, determining (25), using an estimation function (33), a residual parameter corresponding to a differential between said measured inertia data and estimated inertia data resulting from said driving data being input to said estimation function, and determining a lifting condition based on the residual parameter.

Abstract: A vehicle control device includes: a storage portion in which map information is stored, the map information showing a position where a roadside machine configured to transmit a radio signal including predetermined information is provided; a route setting portion configured to set a route where an autonomous driving vehicle is to travel when a current position, of the autonomous driving vehicle, that is measured by a positioning portion provided in the autonomous driving vehicle is included within a predetermined distance from the position of the roadside machine on the map information and the autonomous driving vehicle approaches the position where the roadside machine is provided, the route being set so that a communication portion provided in the autonomous driving vehicle can receive the radio signal; and a vehicle controlling portion configured to control the autonomous driving vehicle so that the autonomous driving vehicle travels along the route.

Abstract: A moving robot includes: a main body; a traveling unit configured to rotate and move the main body; a sensing unit configured to sense position information of a specific point of a front portion of a docking device; and a controller configured to, based on sensing result of the sensing unit, determine i) whether a first condition, which is preset to be satisfied when the docking device is disposed in a front of the moving robot, is satisfied, and ii) whether a second condition, which is preset to be satisfied when the moving robot is disposed in a front of the moving robot, is satisfied, to control an operation of the traveling unit so as to satisfy the first condition and the second condition, and to move to the front so as to attempt to dock in a state where the first condition and the second condition are satisfied.

Abstract: Methods and systems are provided for improving vehicle speed measurements. A vehicle may detect the impact of a roadway irregularity to its front wheels and its rear wheels, and may calculate an instantaneous vehicle speed on the basis of its wheelbase and an elapsed time between the two impacts. This instantaneous vehicle speed may then be used to calculate one or more correction factors which may be used to correct a conventionally-acquired vehicle speed measurement, an operational parameter of the vehicle underlying such measurements (such as a wheel size or a final drive ratio), or both.

Abstract: An adaptive cruise control for a motor vehicle includes a detection module for detecting a vehicle ahead, a production module capable of producing a setpoint, a storage module configured to store a value corresponding to the setpoint, a chronometer configured to be initialized and activated at a moment when the vehicle stops, and a reinitialization module for reinitializing the storage module. This cruise control includes a setup module capable of determining a limit according to the environment of the vehicle. The reinitialization module reinitializes the value stored by the storage module if the chronometer provides a duration greater than the limit.

Abstract: A driving system for a motor vehicle includes a first driving function for automated driving with automated longitudinal and transverse guidance and a second driving function for automated driving with at least automated longitudinal guidance or with at least automated transverse guidance. The second driving function has a lower level of automation. The first driving function is available for activation in a first admissibility range defined by a lower and/or upper limit for a driving parameter. The driver uses a first input component to prescribe a driver nominal value preset for the driving parameter that is in the first admissibility range. In response, the current driving behavior of the active second driving function is adapted. The driving system then establishes that the driving parameter satisfies a first criterion for the first admissibility range. The first driving function is then activated.

Abstract: A controller for a steering device includes an electronic control unit configured to control the steering device. The electronic control unit is configured to acquire an action force and to calculate a basic reaction force based on the acquired action force. The action force includes at least two of axial forces of a plurality of types and a tire force. The axial forces of a plurality of types are applied to a turning shaft that is connected to turning wheels. The tire force is applied to the turning wheels. The electronic control unit is configured to, when one predetermined force of the acquired action force is abnormal, calculate the basic reaction force such that a contribution proportion of the predetermined force to the basic reaction force is lower than a contribution proportion when the predetermined force is not abnormal.

Abstract: A number of illustrative variations may include a method of providing a reliable driving surface friction coefficient estimate.

Abstract: A method for determining kinematics of a target includes generating a measured trace of a target position, speed, and angle of a target relative to an ego vehicle. The radius of the curve that the target is taking is calculated, using the generated trace. A number of paths possible to be followed by the target are projected, expressed as abstract movement functions of a polynomial degree and using as input the calculated radius. At each further cycle, higher probabilities are added to the paths projected in a previous measuring cycle which are equal with the newly projected ones. The projected paths are kept if the radius remains the same as in the previous measuring cycle. The current kinematics values are computed by smoothing filtering as predicted kinematics values, which are compared with the kinematics values resulted from the projected paths, to determine the final kinematics values.

Abstract: A driving assistance device of a vehicle connected to a trailer, a vehicle system including the same, and a method thereof are provided. The vehicle driving assistance device includes a processor that determines a driving situation and a braking situation of a vehicle towing a trailer based on vehicle's internal signals and determines an amount of rear wheel steering control and an amount of braking control based on the driving situation and the braking situation of the vehicle and a storage storing the amount of rear wheel steering control and the amount of braking control, determined by the processor, and the vehicle's internal signals.

Abstract: A vehicle driving assist apparatus includes an first calculator to calculate a degree of acceleration suppression, a controller to suppress target acceleration based on the degree of acceleration suppression, a map information storage to store road map information, an estimator to estimate a vehicle position and identify a traveling lane on the road map information, a detector to detect whether there is a crossing road ahead of the identified traveling lane, and a second calculator to calculate an azimuth angle difference between an azimuth of the crossing road where the own vehicle is about to turn and an azimuth in the traveling direction of the own vehicle. The acceleration suppression degree calculator makes a degree of acceleration suppression for suppressing the acceleration of the own vehicle higher then an azimuth angle difference becomes narrower based on the azimuth angle difference.

Abstract: A vehicle control device to be installed in a vehicle includes a self-driving controller and a calculator. The self-driving controller is configured to set a target vehicle speed and a target steering angle to allow the vehicle to trace a predetermined target travel locus. The self-driving controller is configured to control the vehicle based on the target vehicle speed and the target steering angle. The calculator is configured to calculate a deviation between an index of an actual vehicle behavior and an index of a reference vehicle behavior. The self-driving controller corrects one or both of the target vehicle speed and the target steering angle in accordance with an increase of the deviation, so as to stabilize the vehicle.

Abstract: The invention relates to a method for controlling a robot system as well as a robot system. The robot system includes the following components: a robot ROBO with elements driven by actuators; first sensors S1i for sensing a current robot state; a central control unit ZSE, which executes a current control program SP(t) for controlling the robot system; one or more user interfaces NSp; one or more processor units PEr (205), which execute services MPSr for the central control unit ZSE and/or for one or more of the other components of the robot system; wherein the robot ROBO, the first sensors S1i, the central control unit ZSE, the user interfaces NSp, and the processor units PEr communicate with one another over a data network DN. The central control unit ZSE is configured and executed to predictively test whether an execution of the current control program SP(t) will lead to an error state. If such an error state is predicted during the test, execution of one or more actions takes place.

Abstract: A teaching apparatus includes circuitry. The circuitry is configured to obtain result information corresponding to a position of a worked region on a workpiece. The circuitry is configured to generate first teaching information based on the result information. The first teaching information specifies a motion of an examination robot configured to examine the workpiece that has undergone work.

Abstract: A device for controlling, in real time, the trajectory of an autonomous vehicle includes a control module which produces, in real time, from a state vector at each point in time, a first steering command in order to stabilize the trajectory of the vehicle relative to a vehicle path. The device includes an anticipation module which generates a variable representative of a meta-vector of deviations for each predicted position of the vehicle at points in time resulting in a given quantity at the current point in time and of the state vector at the current point in time. The control module produces the first steering command by quadratic optimization of a relationship between the generated representative variable and a meta-vector of successive steering commands for each predicted position of the vehicle at points in time resulting in a given quantity at the current point in time.

Abstract: Controlling a maximum vehicle speed for an industrial vehicle includes determining, by a processor of the industrial vehicle, a torque applied to the traction wheel of the industrial vehicle; converting the torque to an equivalent force value; and determining an acceleration of the industrial vehicle while the torque is applied to the traction wheel. Additional steps include calculating a load being moved by the industrial vehicle, based at least in part on the acceleration and the equivalent force value; and controlling the maximum speed of the industrial vehicle based on the calculated load being moved by the industrial vehicle.