Abstract: Techniques are discussed herein for detecting and measuring faults within vehicle drive systems. In various implementations, actuator feedback monitors and/or vehicle performance monitors are used individually or in combination to determine faults within acceleration systems, braking systems, and/or steering systems of a vehicle. Different monitors may use different algorithms, models, and input data from the vehicle during operation, to compare a predicted drive system output to a corresponding measured output. Additionally, monitors may include associated sets of disable conditions used to distinguish drive system faults from other driving conditions. The outputs from actuator feedback monitors, vehicle performance monitors, and disable conditions may be analyzed to detect drive system faults and control the vehicle to address the faults and control the safe operation of the vehicle.

Abstract: A system may schedule a vehicle for accommodating preferences of occupants within the vehicle. In some instances, an identity of the occupant may be determined and using the identity, the preference of the occupant may be determined. The vehicle may be schedule for the occupant in instances where the vehicle is able to accommodate the preference. The vehicle may be adjusted or setting(s) of the vehicle may be adjusted based on the preference. The vehicle may travel along a route according to the preferences.

Abstract: A location of an occupant within a vehicle and/or an activity engaged in by the occupant may be determined. Based on the location and/or the activity, a point of interest associated with the occupant and/or the vehicle may be determined. One or more systems of the vehicle, such as the steering and/or suspension, may be controlled to minimize acceleration associated with the point of interest, thereby increasing a comfort of the occupant. In instances where the vehicle includes more than one occupant, the vehicle may be adjusted to accommodate the multiple occupants.

Abstract: A trajectory for a vehicle can be generated using a lateral offset bias. The vehicle, such as an autonomous vehicle (AV), may be directed to follow reference trajectory for through an environment. The AV may determine a segment associated with the reference trajectory based on curvatures of the reference trajectory, determine a lateral offset bias associated with the segment based at least in part on, for example, one or more of a speed or acceleration of the vehicle, and determine a candidate trajectory for the autonomous vehicle based at least in part on the lateral offset bias. The candidate trajectory may then be used to control the autonomous vehicle.

Abstract: Systems and methods are described for performing one or more validity checks on potential trajectories for a device, such as an autonomous vehicle, to navigate. In some examples, a potential trajectory may be validated based on whether it is consistent with a current trajectory the vehicle is navigating such that the potential and current trajectories are not too different, whether the vehicle can feasibly or kinematically navigate to the potential trajectory from a current state, whether the potential trajectory was punctual or received within a time period of a prior trajectory, and/or whether the potential trajectory passes a staleness check, such that it was created within a certain time period. In some examples, determining whether a potential trajectory is feasibly may include updating a set of feasibility limits based on one or more operational characteristics of statuses of subsystems of the vehicle.

Abstract: A surface characterization system includes an active suspension a system with a wheel controller to control a first and second wheel of a vehicle where the active suspension causes a difference in loading between the first and second wheel. The wheel controller may cause the first wheel to slow and receive a signal indicative of a change of state of the vehicle. The wheel controller may cause the second wheel to oppose the change of state caused by the first wheel. The surface characterization system may estimate tire-surface parameterization data associated with the first tire and a surface upon which the vehicle is located.

Abstract: A trajectory for a vehicle can be generated using a lateral offset bias. The vehicle, such as an autonomous vehicle (AV), may be directed to follow reference trajectory for through an environment. The AV may determine a segment associated with the reference trajectory based on curvatures of the reference trajectory, determine a lateral offset bias associated with the segment based at least in part on, for example, one or more of a speed or acceleration of the vehicle, and determine a candidate trajectory for the autonomous vehicle based at least in part on the lateral offset bias. The candidate trajectory may then be used to control the autonomous vehicle.

Abstract: The present disclosure is directed to performing one or more validity checks on potential trajectories for a device, such as an autonomous vehicle, to navigate. In some examples, a potential trajectory may be validated based on whether it is consistent with a current trajectory the vehicle is navigating such that the potential and current trajectories are not too different, whether the vehicle can feasibly or kinematically navigate to the potential trajectory from a current state, whether the potential trajectory was punctual or received within a time period of a prior trajectory, and/or whether the potential trajectory passes a staleness check, such that it was created within a certain time period. In some examples, determining whether a potential trajectory is feasibly may include updating a set of feasibility limits based on one or more operational characteristics of statuses of subsystems of the vehicle.