Abstract: A method includes obtaining road patch type data associated with at least one road patch type, deriving, from the road patch type data, a set of road patch type parameters for the at least one road patch type, generating, based on the set of road patch type parameters, a set of risk metrics, each risk metric of the set of risk metrics corresponding to a respective road patch type parameter of the set of road patch type parameters, identifying, based at least in part on the set of risk metrics, a set of autonomous vehicle (AV) motion planning constraints selected for the at least one road patch type, and providing the set of AV motion planning constraints to update motion planning functionality performed by at least one component of an AV.

Abstract: The technology involves determining a minimum lateral gap distance between a vehicle configured for autonomous driving and one or more other objects in the vehicle's environment. The minimum lateral gap is used when determining whether to have a driver take over control of certain driving operations. This provides a measure of safety during disengagements or other change of control events. Determining the minimum lateral gap includes calculating a budgeted distance based on a cross-track error for a lateral position of the vehicle, an allowed actual gap distance to an object in the vehicle's environment, and a perception error associated with a location of the object in the vehicle's environment. This determination can be done for a set of possible operating speeds and steering rate limit combinations. The vehicle's control system may notify the driver to take control, for instance with audible, visual and/or haptic notifications.

Abstract: An actuator system includes an actuator, a first actuator controller that is operable to control operation of the actuator and is operable to determine a first value for a parameter that relates to operation of the actuator, a second actuator controller that is operable to control operation of the actuator and is operable to determine a second value for the parameter, and at least one additional component that is operable to determine a third value for the parameter. A fault is identified in response to determining that the first value does not agree with at least one of the second value or the third value. In response to identification of the fault, the first actuator controller changes from an activated state to a deactivated state and the second actuator controller changes from a deactivated state an activated state.

Abstract: The technology employs a variable motion control envelope that enables an on-board computing system of a self-driving vehicle to estimate future vehicle driving behavior along an upcoming path, in order to maintain a desired amount of control during autonomous driving. Factors including intrinsic vehicle properties, extrinsic environmental influences and road friction information are evaluated. Such factors can be evaluated to derive an available acceleration model, which defines an envelope of maximum longitudinal and lateral accelerations for the vehicle. This model, which may identify dynamically varying acceleration limits that can be affected by road conditions and road configurations, may be used by the on-board control system (e.g., a planner module of the processing system) to control driving operations of the vehicle in an autonomous driving mode.

Abstract: Aspects of the disclosure provide for controlling an autonomous vehicle. For instance, data identifying an object may be received. A first portion of a trajectory may be generated using a first uncertainty distribution for the object. The first portion of the trajectory may enable the autonomous vehicle to make progress towards a destination of the autonomous vehicle. A fallback portion of the trajectory may be generated using a second uncertainty distribution for the object. The fallback portion may enable the autonomous vehicle to stop. The second uncertainty distribution may be different from the first uncertainty distribution, and the second uncertainty distribution may be based on a predetermined uncertainty distribution if the autonomous vehicle loses a localization improvement process. The autonomous vehicle may be controlled according to the trajectory.

Abstract: The technology employs a variable motion control envelope that enables an on-board computing system of a self-driving vehicle to estimate future vehicle driving behavior along an upcoming path, in order to maintain a desired amount of control during autonomous driving. Factors including intrinsic vehicle properties, extrinsic environmental influences and road friction information are evaluated. Such factors can be evaluated to derive an available acceleration model, which defines an envelope of maximum longitudinal and lateral accelerations for the vehicle. This model, which may identify dynamically varying acceleration limits that can be affected by road conditions and road configurations, may be used by the on-board control system (e.g., a planner module of the processing system) to control driving operations of the vehicle in an autonomous driving mode.

Abstract: The technology employs a model structure for motion control in a vehicle configured to operate in an autonomous driving mode. The model structure has components including a vehicle dynamics system module, a column dynamics module, a rack dynamics module, and an actuation control module. A virtual validation and verification model is configurable based on the components of the model structure. Configuration is performed according to a set of operational requirements based on at least one of a vehicle type, occupant loading information, a center of gravity, or tire pressure as per a cold nominal setpoint. The virtual validation and verification model can be executed so that an electric power steering (EPS) module of the model structure components is configured for at least one of: a software-in-loop model, functional EPS assist, angle control, or to emulate an EPS controller.

Abstract: A method includes identifying sensor data associated with corresponding distal ends of one or more axles of an autonomous vehicle (AV). The method further includes determining, based on the sensor data, mass distribution data of the AV. The mass distribution data is associated with a first load proximate a first distal end of a first axle of the AV and a second load proximate a second distal end of the first axle of the AV. The method further includes causing, based on the mass distribution data, performance of a corrective action associated with the AV.

Abstract: A method includes identifying mass distribution data of an autonomous vehicle (AV). The mass distribution data is associated with a first load proximate a first distal end of a first axle of the AV and a second load proximate a second distal end of the first axle of the AV. The method further includes determining, based on the mass distribution data, one or more handling maneuver limits for the AV. The method further includes causing the AV to travel a route based on the one or more handling maneuver limits.

Abstract: The technology involves determining a minimum lateral gap distance between a vehicle configured for autonomous driving and one or more other objects in the vehicle's environment. The minimum lateral gap is used when determining whether to have a driver take over control of certain driving operations. This provides a measure of safety during disengagements or other change of control events. Determining the minimum lateral gap includes calculating a budgeted distance based on a cross-track error for a lateral position of the vehicle, an allowed actual gap distance to an object in the vehicle's environment, and a perception error associated with a location of the object in the vehicle's environment. This determination can be done for a set of possible operating speeds and steering rate limit combinations. The vehicle's control system may notify the driver to take control, for instance with audible, visual and/or haptic notifications.

Abstract: The technology employs a variable motion control envelope that enables an on-board computing system of a self-driving vehicle to estimate future vehicle driving behavior along an upcoming path, in order to maintain a desired amount of control during autonomous driving. Factors including intrinsic vehicle properties, extrinsic environmental influences and road friction information are evaluated. Such factors can be evaluated to derive an available acceleration model, which defines an envelope of maximum longitudinal and lateral accelerations for the vehicle. This model, which may identify dynamically varying acceleration limits that can be affected by road conditions and road configurations, may be used by the on-board control system (e.g., a planner module of the processing system) to control driving operations of the vehicle in an autonomous driving mode.

Abstract: A steering system includes an actuator, a steering wheel that generates inputs for the actuator in a manual steer-by-wire control state, and a controller that determines operating conditions for the actuator, the steering wheel, or both. The controller determines blended steering angles based on manual steering angles of the steering wheel and automatic steering angles associated with an automated steer-by-wire control state. The controller transitions operation of the steering system from the manual steer-by-wire control state to the automated steer-by-wire control state when all operating conditions are satisfied and uses a blending function that applies weighting values to the manual steering angles and the automated steering angles to determine the blended steering angles. The controller controls the actuator using the blended steering angles.

Abstract: A vehicle actuator system includes an actuator, a first actuator controller that is operable to control operation of the actuator and is operable to determine a first value for a parameter that relates to operation of the actuator, a second actuator controller that is operable to control operation of the actuator and is operable to determine a second value for the parameter, and at least one additional component that is operable to determine a third value for the parameter. A fault is identified in response to determining that the first value does not agree with at least one of the second value or the third value. In response to identification of the fault, the first actuator controller changes from an activated state to a deactivated state and the second actuator controller changes from a deactivated state an activated state.

Abstract: A method of control includes operating in autonomous mode and steering according to a tracking angle. The method also includes receiving a torque signal indicating a measured torque being applied to a steering control device and determining a difference between an expected torque and the measured torque, and based on a direction of the expected torque, the direction of the measured torque, and the difference between the two, switching from autonomous mode of operation to manual mode operation.

Abstract: An active suspension system for a vehicle having a wheel that is subject to an external force includes an actuator having an output structure that is connected to the wheel, an energy storage device having a compressible chamber, a valve assembly that is operable to control flow of a working fluid between the actuator and the energy storage device, and a controller that determines whether to permit or resist motion of the output structure in response to the external force. The controller permits motion of the output structure by allowing fluid to flow from the actuator to the energy storage device using the valve assembly, thereby compressing the compressible chamber. The controller resists motion of the output structure by allowing fluid to flow from the energy storage device to the actuator using the valve assembly, thereby expanding the compressible chamber.

Abstract: A method for controlling a vehicle includes operating a steering system in manual steer-by-wire control state and determining that a transition to an automated steer-by-wire control state is to be performed by the steering system. The method also includes entering the automated steer-by-wire control state upon determining that all conditions from a group of state entry conditions are satisfied, and operating the steering system in the automated steer-by-wire control state until determining that any condition from a group of state exit conditions is satisfied. The method also includes entering the manual steer-by-wire control state upon determining that any condition from the group of state exit conditions is satisfied.

Abstract: A method for controlling a vehicle includes operating a braking system in robotic control state, determining that an emergency stop state is to be entered by the braking system, entering the emergency stop state upon determining that all conditions from a group of state entry conditions are satisfied, decelerating the vehicle using the braking system while in the emergency stop state, determining, while in the emergency stop state, that all conditions from a group of state exit conditions are satisfied, and exiting the emergency stop state in response to determining that all conditions from the group of state exit conditions are satisfied.

Abstract: A control system for a vehicle includes an internal vehicle reference model that determines reference states for the vehicle that represent an expected vehicle response, sensors that determine measured states for the vehicle, and a vehicle motion control system that determines desired states for the vehicle. A stability determining module identifies a reference deviation between the reference states and the measured states, identifies a desired deviation between the desired states and measured states, and outputs a command for reducing the reference deviation and the desired deviation. Actuators are operable to reduce the reference deviation and the desired deviation in response to the command.

Abstract: A vehicle has a wheel, a frame, a suspension component, a steering knuckle, and a steering system. The suspension component is connected to the frame. The steering knuckle is connected to the suspension component and is connected to the wheel. The suspension component is operable to control vertical movement of the steering knuckle and the wheel relative to the frame. The suspension component and the steering knuckle define a steering axis for the wheel. The steering axis has a caster inclination angle of zero degrees. The steering system is connected to the suspension component and controls a steering angle of the wheel based on an electronic control signal.

Abstract: A vehicle steering arrangement for a vehicle comprises a rack a position sensor, a steering column, a steering wheel, a torque sensor arranged to sense a torque applied onto the steering wheel and arranged to provide a torque signal representative thereof, an electronic control unit provided with a virtual steering model, a rack-mounted electromechanical actuator, and a force obtaining arrangement configured to obtain forces of steered wheels acting on the rack. The electronic control unit is configured to provide a virtual rack position based on the virtual steering model and at least a combination of the obtained forces and the torque signal, and is arranged to control the rack-mounted electromechanical actuator such that the current position of the rack is controlled towards the virtual rack position. The present disclosure also relates to an autonomous vehicle steering arrangement, a vehicle and a method of steering a vehicle.