In an embodiment a device for controlling autonomous driving includes at least one sensor disposed in an autonomous driving vehicle configured to detect information necessary for autonomous driving of the autonomous driving vehicle and a controller configured to diagnose a fault of the at least one sensor during autonomous driving of the autonomous driving vehicle, upon determination that the fault has occurred in the at least one sensor, prohibit an autonomous driving related function corresponding to the fault of the at least one sensor, determine an alternative route, based on the prohibited function and control the autonomous driving according to the determined alternative route.

An information comparison unit (53) (comparison unit) of an RSU (10a) (information processing apparatus) compares first data (D1) related to a positional relationship between a vehicle (V) and an object existing around the vehicle, the first data (D1) being obtained from a first sensor unit (59) that is mounted on the vehicle (V) by a vehicle information reception unit (50) (first acquisition unit) and that obtains information related to travel control of the vehicle (V), with second data (D2) related to a positional relationship regarding objects existing on a road (R), the second data (D2) being obtained by an object detection unit (52) (second acquisition unit). Subsequently a correction information generation unit (54) generates correction data (Dc) to be used for correcting an output of the first sensor unit (59) based on a comparison result of the information comparison unit (53), and then the information transmission unit (56) (transmission unit) transmits the correction data (Dc) to the vehicle (V).

A vehicle includes: an in-vehicle sensor that detects an environment around the vehicle; an autonomous driving unit that executes automated valet parking based on the detection result from the in-vehicle sensor; a detection unit that detects dirt or a raindrop attached to the in-vehicle sensor before the automated valet parking is started by the autonomous driving unit; and an informing unit that outputs information that suggests removing the dirt or the raindrop on the in-vehicle sensor in response to the detection unit detecting the dirt or the raindrop attached to the in-vehicle sensor.

A driver assistance device includes an image analysis part that analyzes a captured image obtained by capturing a face of a driver of a vehicle, and an abnormality determination processing part that determines whether a state of the driver is in an abnormal state on the basis of an analysis result of the captured image, and performs an emergency driving stop process of causing the vehicle to perform automatic braking if the driver's state is determined to be in the abnormal state. The abnormality determination processing part does not perform the emergency driving stop process when the level of recognition of the face of the image analysis part is lower than the predetermined level.

Devices, systems, and methods for a vehicular safety system in autonomous vehicles are described. An example method for safely controlling a vehicle includes selecting, based on a first control command from a first vehicle control unit, an operating mode of the vehicle, and transmitting, based on the selecting, the operating mode to an autonomous driving system, wherein the first control command is generated based on input from a first plurality of sensors, and wherein the operating mode corresponds to one of (a) a default operating mode, (b) a minimal risk condition mode of a first type that configures the vehicle to pull over to a nearest pre-designated safety location, (c) a minimal risk condition mode of a second type that configures the vehicle to immediately stop in a current lane, or (d) a minimal risk condition mode of a third type that configures the vehicle to come to a gentle stop.

Devices, systems, and methods for a vehicular safety system in autonomous vehicles are described. An example of controlling operation of an autonomous vehicle includes monitoring, by a processor of a vehicle controller system, an operation of an autonomous vehicle controller onboard the autonomous vehicle, determining, during the monitoring, that a fault condition has occurred in the operation of the autonomous vehicle controller, and taking control of navigation of the autonomous vehicle based on the determining that the fault condition has occurred, wherein the taking control of navigation includes navigating the autonomous vehicle using a dedicated set of sensors for the navigation, and wherein the dedicated set of sensors is different from a main set of sensors used by the autonomous vehicle controller.

An apparatus comprises a plurality of sensors, a digital map. and a control unit. The plurality of sensors may be configured to detect information about an exterior environment of a vehicle. The digital map may be configured to provide information about roadways in a vicinity of the vehicle. The control unit (i) may comprise an interface configured to receive (a) sensor status signals, (b) sensor-based information, and (c) map-based information, and (ii) may be configured to (a) determine whether an operational situation exists that is unsafe for an advanced driver-assistance systems (ADAS) automation feature to be activated or remain active based on the sensor-based information, the map-based information, and the sensor status signals, and (b) generate an activation control signal to restrict activation of the ADAS automation feature when an unsafe operational situation exists.

Systems may include a processor to, in response to determining at least one segment of a field of view (FOV) of a first sensor of an autonomous vehicle that overlaps with a FOV of at least one second sensor of the autonomous vehicle, calculate a scaling factor for diagnostic coverage for the at least one segment based on a value of modality overlap (MoD) for the at least one segment, calculate, based on the scaling factor, a value of a metric of hardware failure for the first sensor, and compare the value of the metric of hardware failure to a threshold value to determine whether to increase a diagnostic coverage of the first sensor. Methods, computer program products, and autonomous vehicles are also disclosed.

Techniques are described with respect to addressing at least one sensor abnormality associated with a vehicle. An associated method includes receiving a first measurement value from a first sensor among a plurality of sensors associated with a vehicle and receiving a second measurement value from a second sensor among the plurality of sensors. The method further includes identifying at least one sensor abnormality based upon an inconsistency between the first measurement value and the second measurement value. In an embodiment, the at least one sensor abnormality results from at least one sensor defect, at least one vehicle security fault, or a combination thereof. The method further includes completing at least one predefined action to address the at least one sensor abnormality.

A vehicle includes: an instrument panel that displays an alarm to a driver; and an ECU that controls the instrument panel based on a setting as to whether the driver is to perform maintenance of the vehicle or not. In a first setting in which the driver is to perform maintenance, the ECU controls the instrument panel to display an alarm when a failure occurs in an on-vehicle device. In a second setting in which the driver is not to perform maintenance, the ECU controls the instrument panel not to display an alarm about a failure less influencing traveling.