A vehicle control device executes driving assistance control for assisting driving a host vehicle by a driver. The vehicle control device stops the driving assistance control under execution when a predetermined actuator of the host vehicle is operated. The vehicle control device executes, as the driving assistance control, abnormality countermeasure control for securing safe traveling of the host vehicle when the driver falls into an abnormal state having a problem in driving the host vehicle, and when the predetermined actuator is operated, and when the abnormality countermeasure control is not being executed, stops the driving assistance control, and when the abnormality countermeasure control is being executed, does not stop the driving assistance control including the abnormality countermeasure control.

A vehicle includes a detection system configured to acquire data regarding operation of the vehicle, and a robotic driving device configured to provide robotic control of the vehicle. The vehicle also includes a control system configured to determine whether the robotic driving device is activated, such that the vehicle is in robotic driving mode; receive a request by a prospective operator of the vehicle to deactivate the robotic driving device to initiate a manual driving mode; determine whether the prospective operator is impaired based on the data; and selectively grant or refuse the request based on the determination.

A device may receive vehicle operation data associated with operation of a plurality of vehicles, and may process the vehicle operation data to generate processed vehicle operation data. The device may extract multiple features from the processed vehicle operation data, and may train machine learning models, with the multiple features, to generate trained machine learning models that provide model outputs. The device may process the multiple features, with a feature selection model and based on the model outputs, to select sets of features from the plurality of features, and may process the sets of features, with the trained machine learning models, to generate indications of driving behavior and reliabilities of the indications. The device may select a set of features, from the sets of features, based on the indications and the reliabilities, where the set of features may be calculated by a device associated with a particular vehicle.

A device may receive vehicle operation data associated with operation of a plurality of vehicles, and may process the vehicle operation data to generate processed vehicle operation data. The device may extract multiple features from the processed vehicle operation data, and may train machine learning models, with the multiple features, to generate trained machine learning models that provide model outputs. The device may process the multiple features, with a feature selection model and based on the model outputs, to select sets of features from the plurality of features, and may process the sets of features, with the trained machine learning models, to generate indications of driving behavior and reliabilities of the indications. The device may select a set of features, from the sets of features, based on the indications and the reliabilities, where the set of features may be calculated by a device associated with a particular vehicle.

The present disclosure is generally related to a data processing system to validate vehicular functions in a voice activated computer network environment. The data processing system can improve the efficiency of the network by discarding action data structures and requests that invalid prior to their transmission across the network. The system can invalidate requests by comparing attributes of a vehicular state to attributes of a request state.

A method operates a hand-guided processing device having a user-activated operating sensor device with a plurality of different detection positions. The method involves the steps: a) detecting a sequence of activations of the operating sensor device at different detection positions of the plurality of detection positions, and b) when the detected sequence corresponds to a given sequence, calibrating the operating sensor device for at least one detection position of the plurality of detection positions based on at least one of the activations of the detected activations.

A method operates a hand-guided processing device having a user-activated operating sensor device with a plurality of different detection positions. The method involves the steps: a) detecting a sequence of activations of the operating sensor device at different detection positions of the plurality of detection positions, and b) when the detected sequence corresponds to a given sequence, calibrating the operating sensor device for at least one detection position of the plurality of detection positions based on at least one of the activations of the detected activations.

A vehicle control device includes an actuation unit that actuates an anomaly control switch that acknowledges execution of safety control, which improves safety during driving of a vehicle, upon detection of an occupant in an anomalous state from a monitoring result of a state of the occupant of the vehicle. The actuation unit causes the anomaly control switch to be actuated to allow the occupant to recognize a control content of the safety control. The vehicle control device further includes an operation acknowledgement unit that acknowledges operation of the anomaly control switch and a controller that executes the safety control when the operation acknowledgement unit acknowledges the operation of the anomaly control switch.

A vehicle control device includes an actuation unit that actuates an anomaly control switch that acknowledges execution of safety control, which improves safety during driving of a vehicle, upon detection of an occupant in an anomalous state from a monitoring result of a state of the occupant of the vehicle. The actuation unit causes the anomaly control switch to be actuated to allow the occupant to recognize a control content of the safety control. The vehicle control device further includes an operation acknowledgement unit that acknowledges operation of the anomaly control switch and a controller that executes the safety control when the operation acknowledgement unit acknowledges the operation of the anomaly control switch.

A method for controlling switching of steering control rights of an autonomous vehicle, may include: performing a control to synchronize a steering angle of a steering wheel and a steering angle of a road wheel, when switching of the steering control rights from an automated driving mode to a manual driving mode is requested. The method further includes: detecting an error value between the steering angle of the steering wheel and the steering angle of the road wheel, when a hands-on state in which the steering wheel is gripped is detected in the synchronization process. In addition, the method further includes: performing a control to switch the mode of the autonomous vehicle to the manual driving mode, when the error value is less than a preset value.