A wheel loader 100 includes a front working device 101, an automatic brake device that automatically applies braking to a vehicle body, a vehicle speed sensor 15 that detects a vehicle speed of the vehicle body, an angle sensor 37 that detects a height of the front working device 101, an obstacle detection sensor 29 that detects an obstacle present in surroundings of the vehicle body, and a brake controller 27 that controls operation of the automatic brake device on the basis of a detection signal from the obstacle detection sensor 29, wherein the brake controller 27 limits a braking force of the automatic brake device when the height h of the front working device 101 is equal to or greater than a predetermined height h1, or the vehicle speed v is equal to or greater than a predetermined vehicle speed v1, and the obstacle has been detected by the obstacle detection sensor 29.

A method for automated steering of a motor vehicle including wheels at least two of which are steered wheels. The method comprising: acquiring parameters relating to a path for avoidance of an obstacle by the motor vehicle, and calculating, by a computer, a first steering setpoint for a steering actuator for the steered wheels and a second steering setpoint for at least one actuator for differential braking of the wheels, depending on the parameters. The first and second steering setpoints are each determined by a controller respecting a model that limits setpoint variation and/or range.

A system for securing the parking of an automobile vehicle parked on a parking area (Z), the vehicle including two steering wheels, and a actuator to modify the orientation of the steering wheels without the action of the driver, the system including a control unit (UC), a system for detecting a parked state of the automobile vehicle, a sensor for detecting the slope of the parking area, sensor for determining the orientation of the steering wheels with respect to the axis of the vehicle, the control unit (UC) being configured to determine the orientation of the steering wheels to put the vehicle in a decreased danger configuration in case of an unwanted movement of the vehicle, and to sending an instruction to the actuator to orientate the steering wheels according to the orientation determined by the control unit (UC).

A control method for a host vehicle (100), comprising a) acquiring a speed (Vx) of the host vehicle, a relative speed (Vr) and distance (Dr) between a preceding vehicle (200) and the host vehicle (100); b) calculating a perceived risk level (PRL) as a function of said speed Vx of the host vehicle, said relative speed Vr, said relative distance Dr, and at least one of variables Vx*Vr and Vx.sup.2; and c) controlling at least one vehicle device (32, 34, 36, 38) of the host vehicle as a function of the perceived risk level (PRL).

A computer program, a non-transitory computer-readable medium, and an automated driving system for implementing the above method.

Methods, apparatus, systems and articles of manufacture are disclosed for vehicle steering to follow a curved path, An example vehicle disclosed herein includes a front axle, a rear axle, a location sensor, and a tracking mode controller to determine a wheel steering angle based on a tum center location corresponding to a navigation curve and one or more measurements between the turn center location and the vehicle, determine a heading error offset adjustment based on the turn center location and the one or more measurements between the turn center location and the vehicle, and cause the vehicle to move along the navigation curve based on the wheel steering angle and the heading error offset adjustment.

Methods and systems for predictive control of an autonomous vehicle are described. Predictions of lane centeredness and road angle are generated based on data collected by sensors on the autonomous vehicle and are combined to determine a state of the vehicle that are then used to generate vehicle actions for steering control and speed control of the autonomous vehicle.

In one embodiment, in response to a first control command originated from a driver of an ADV, an expected acceleration of the ADV in response to the first control command is determined in view of a current speed of the ADV under the standard driving environment (e.g., dry road, flat road surface, normal tire pressure, zero load). One of the command calibration tables is selected based on a current driving environment of the ADV at the point in time. A lookup operation is performed in the selected command calibration table to obtain a second control command based on the current speed and expected acceleration of the ADV. The second control command is then issued to the ADV to control the ADV. As a result, the ADV would have reached the same acceleration under the current driving environment as if the ADV was driving in the standard driving environment.

A present invention is a control device, that can be mounted in a vehicle including left and right wheels, comprising a detection unit for detecting, for the left and right wheels, a displacement in a vertical direction of the vehicle body, and a correction unit for correcting, based a detection result of the detection unit, a variation of a vehicle advancing direction caused by the displacement.

A driver assistance system plans movement for a motor vehicle, wherein a safe state of the motor vehicle is a state of the motor vehicle in a first time step from which the motor vehicle can be transferred, as a function of a movement capability of the motor vehicle in at least one second time step which follows the first time step, into a further safe state without colliding with a road user. The driver assistance system is configured to determine for at least one future time step starting from a current state of the motor vehicle, at least one possible future state of the motor vehicle and of the road user, and to select safe future states of the motor vehicle from the possible future states of the motor vehicle and of the road user, and to plan a movement for the motor vehicle as a function of the safe future states.

Systems and methods for determining strategy modes for autonomous vehicles are described. An autonomous vehicle may detect aspects of other vehicles and aspects of the environment using one or more sensors. The autonomous vehicle may then determine strategy modes of the other vehicles, and select a strategy mode for its own operation based on the determined strategy modes and an operational goal for the autonomous vehicle. The strategy modes may include an uncoupled strategy mode, a permissive strategy mode, an assistive strategy mode, and a preventative strategy mode. The autonomous vehicle may further determine elements in the environment and topological constraints associated with the environment, and select the strategy mode for its own operation based thereon.