Techniques for determining a degraded state associated with a sensor are discussed herein. For example, a sensor associated with vehicle may captured data of an environment. A portion of the data may represent a portion of the vehicle. Data associated with a region of interest can be determined based on a calibration associated with the sensor. For example, in the context of image data, image coordinates may be used to determine a region of interest, while in the context of lidar data, a beam and/or azimuth can be used to determine a region of interest. A data metric can be determined for data in the region of interest, and an action can be determined based on the data metric. For example, the action can include cleaning a sensor, scheduling maintenance, reducing a confidence associated with the data, or slowing or stopping the vehicle.

Techniques for determining a degraded state associated with a sensor are discussed herein. For example, a sensor associated with vehicle may captured data of an environment. A portion of the data may represent a portion of the vehicle. Data associated with a region of interest can be determined based on a calibration associated with the sensor. For example, in the context of image data, image coordinates may be used to determine a region of interest, while in the context of lidar data, a beam and/or azimuth can be used to determine a region of interest. A data metric can be determined for data in the region of interest, and an action can be determined based on the data metric. For example, the action can include cleaning a sensor, scheduling maintenance, reducing a confidence associated with the data, or slowing or stopping the vehicle.

A method may include distributing target torque to target engine torque of an engine and target motor torque of a motor according to a predetermined control logic according to driver demand torque, comparing torques which determines whether actual torques of the engine and the motor are smaller than the target engine torque and the target motor torque, comparing whether a time period during which a state where a state where the torque of the engine or the motor is insufficient is maintained is a predetermined reference time or more, determining that any one of the engine and the motor is failed, when the time during which a state where the state where the torque of the engine or the motor is insufficient is maintained is the reference time or more, and controlling limp-home which limits the target engine torque of the engine, the target motor torque of the motor, and the regenerative braking amount of the motor.

In case a vehicle speed control is performed in response to a failure in a steer-by-wire steering system, the vehicle is prevented from accelerating following a speed reduction caused by a braking operation of the vehicle operator. The speed limit control limits a traveling speed of the vehicle below an upper limit speed upon detecting a fault in the steering system, and is configured to set a target deceleration of the vehicle according to the limited traveling speed, perform a deceleration control to bring an actual deceleration of the vehicle to become near the target deceleration, and restrict the actual deceleration from changing to an acceleration side in the deceleration control.

In case a vehicle speed control is performed in response to a failure in a steer-by-wire steering system, the vehicle is prevented from accelerating following a speed reduction caused by a braking operation of the vehicle operator. The speed limit control limits a traveling speed of the vehicle below an upper limit speed upon detecting a fault in the steering system, and is configured to set a target deceleration of the vehicle according to the limited traveling speed, perform a deceleration control to bring an actual deceleration of the vehicle to become near the target deceleration, and restrict the actual deceleration from changing to an acceleration side in the deceleration control.

A drive control device is applicable to a vehicle including a first motor which drives a first wheel and a second motor which drives a second wheel. The drive control device includes a sensor, a torque setting section, an anomaly detection section, and an information output section. The sensor detects information about the drive control device. The torque setting section sets upper limit values of torques that can be generated by the first motor and the second motor based on the information detected by the sensor. The anomaly detection section detects an anomaly in the drive control device. In response to the anomaly detection section detecting the anomaly, the information output section outputs, to the torque setting section, setting information that sets the upper limit values of the torques of the first motor and the second motor to a common predetermined value, as the information.

Embodiments for operational envelope detection (OED) with situational assessment are disclosed. Embodiments herein relate to an operational envelope detector that is configured to receive, as inputs, information related to sensors of the system and information related to operational design domain (ODD) requirements. The OED then compares the information related to sensors of the system to the information related to the ODD requirements, and identifies whether the system is operating within its ODD or whether a remedial action is appropriate to adjust the ODD requirements based on the current sensor information. Other embodiments are described and/or claimed.

Embodiments for operational envelope detection (OED) with situational assessment are disclosed. Embodiments herein relate to an operational envelope detector that is configured to receive, as inputs, information related to sensors of the system and information related to operational design domain (ODD) requirements. The OED then compares the information related to sensors of the system to the information related to the ODD requirements, and identifies whether the system is operating within its ODD or whether a remedial action is appropriate to adjust the ODD requirements based on the current sensor information. Other embodiments are described and/or claimed.

A method for providing instructions for controlling vehicle, the method comprising: predicting a near-future driving path for the vehicle using sensor data received from environmental sensors of the vehicle. Retrieving at least one acceptable spatial deviation value indicative of the acceptable deviation from the predicted driving path. Determining a limit velocity value or a longitudinal deceleration value based on predetermined relations between spatial deviations from the near-future driving path and vehicle motion parameters and corresponding error values. The limit velocity value and the longitudinal deceleration value are determined with the constraint that the acceptable spatial deviation is not violated along the predicted driving path. Providing an instruction signal comprising an instruction for the vehicle to travel below the limit velocity value, or comprising an instruction to decelerate according to the longitudinal deceleration value in the event of a safe stop procedure.

Systems and methods are provided for identifying an imminent low state of charge of a battery in an autonomous vehicle, and automatically powering down the vehicle before a zero state of charge event occurs. In particular, the autonomous vehicle automatically powers down while there is enough energy in the batteries to restart the vehicle and drive the vehicle a short distance to a charging station.