A mobile work machine includes a propulsion subsystem that propel the mobile work machine about a worksite. The mobile work machine includes a steering subsystem that steers the mobile work machine about the worksite. The mobile work machine includes a stability determination system that determines a stability factor based on a characteristic of the steering subsystem. The mobile work machine also includes a control system that controls the mobile work machine based on the stability factor.

Technologies and techniques for operating an automatic driving function in a vehicle, in which surroundings data are detected and, based on the detected surroundings data, graphical data of a representation of the surroundings are generated and output. An automatic driving function is executed subject to a control signal generated from actuating a selection object. The selection object may be generated and assigned to a first operating object.

A powertrain including a prime mover and an electronically controllable clutch. The powertrain structured selectably engages the clutch to provide power from the prime mover to drive one or more ground contacting wheels and to selectably disengage the clutch to decouple with one or more ground contacting wheels. The electronic control system operatively communicates with the prime mover and the electronically controllable clutch, and uses a predictive cruise control (PCC) controller and an idle coast management (ICM) controller, to control vehicle speed during concurrent operation of the PCC controller and the ICM controller.

A vehicle stability control device is mounted on a vehicle in which a front tire wears faster than a rear tire. An equation for calculating a target yaw rate includes a stability factor of the vehicle as a parameter, wherein the calculated target yaw rate becomes lower as the stability factor becomes larger. Understeer degree increases as the target yaw rate becomes higher than an actual yaw rate. When the understeer degree exceeds an activation threshold, vehicle stability control is activated. The vehicle stability control device further performs wear coping processing. In the wear coping processing, a wear degree parameter being wear degree of the front tire or a difference in wear degree between the front tire and the rear tire is calculated. When the wear degree parameter exceeds a wear threshold, the vehicle stability control device corrects the stability factor to be larger than a default setting value.

A method for controlling a vehicle based on sensor data having variable sensor parameter settings includes receiving sensor data generated by a vehicle sensor while the sensor is configured with a first sensor parameter setting. The method also includes receiving an indicator specifying the first sensor parameter setting, and selecting, based on the received indicator, one of a plurality of neural networks of a perception component, each neural network having been trained using training data corresponding to a different sensor parameter setting. The method also includes generating signals descriptive of a current state of the environment using the selected neural network and based on the received sensor data. The method further includes generating driving decisions based on the signals descriptive of the current state of the environment, and causing one or more operational subsystems of the vehicle to maneuver the vehicle in accordance with the generated driving decisions.

A vehicle control device includes a peripheral recognition unit configured to recognize a peripheral status of a vehicle including a position of a traffic participant present in a periphery of the vehicle on the basis of an output of an in-vehicle device, an estimation unit configured to estimate a peripheral attention ability of the traffic participant on the basis of an output of the in-vehicle device, and a risk area setting unit configured to set a risk area of the traffic participant on the basis of a result of the estimation performed by the estimation unit.

The subject matter described in this specification is generally directed control architectures for an autonomous vehicle. In one example, a reference trajectory, a set of lateral constraints, and a set of speed constraints are received using a control circuit. The control circuit determines a set of steering commands based at least in part on the reference trajectory and the set of lateral constraints and a set of speed commands based at least in part on the set of speed constraints. The vehicle is navigated, using the control circuit, according to the set of steering commands and the set of speed commands.

Embodiments include methods, systems and computer program products for determining a safe driving speed for a vehicle. Aspects include obtaining a location and a direction of travel of the vehicle, obtaining one or more operating conditions of the vehicle, and obtaining historical accident data that corresponds to the location of the vehicle under operating conditions that are similar to the one or more conditions of the vehicle. Aspects also include analyzing, by a processor, the historical accident data to identify the safe driving speed for the vehicle, wherein the safe driving speed is determined to be a maximum speed that is associated with maximum acceptable risk of an accident and causing an indication of the safe driving speed to be displayed to an operator of the vehicle.

Embodiments of the present disclosure disclose a method and apparatus for avoidance control of a vehicle, an electronic device, and a storage medium, where the method includes: obtaining behavior information of a moving obstacle, where the moving obstacle is located in a direction of movement of the vehicle and a distance between the moving obstacle and the vehicle satisfies a preset avoidance distance; determining an avoidance strategy for the vehicle based on the behavior information of the moving obstacle; and controlling movement of the vehicle based on the avoidance strategy. The method in the embodiments of the present disclosure considers the behavior information of the moving obstacle in the process of avoidance control of the vehicle, and the vehicle can be controlled to travel when the moving obstacle takes an avoidance action, thereby improving the accuracy of avoidance for the vehicle and the practicality of intelligent driving.

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.