An integrated manipulation apparatus for autonomous vehicles and a control method are provided. When a driving mode is switched from an autonomous driving mode to a manual driving mode, a user manipulates the integrated manipulation apparatus, which is portable, to perform chassis functions, such as steering, speed change, acceleration, and braking of a vehicle, and to perform general functions, such as lamp on/off, honking, and turn indication, as needed. A steering dial switch and a speed change slide switch are different in manipulation manner from an acceleration button switch and a braking button switch.

Methods, devices, and systems related to sensor monitoring in a vehicle are described. In an example, a method can include receiving a trained artificial intelligence (AI) model at a memory device in a vehicle, transmitting the trained AI model to a processing resource in the vehicle, receiving, at the processing resource, data associated with a person located in the vehicle from a sensor included in a computing device and data associated with the vehicle from a sensor included in the vehicle, inputting the received data into the AI model at the processing resource, and sending a command in response to an output of the AI model.

A sensor test system may include a controller coupled to at least one test device and a sensor, the controller configured to receive test instructions including a plurality of test sequences, instruct at least one display unit to display an item based on the test sequences, receive response data from the test device indicative of a driver behavior, the response data including timing information and test device information, compile the response data based on the timing information and the test device information, receive sensor data acquired by the sensor during the test sequences, compare the compiled response data to the sensor data, and determine an accuracy of the sensor based on the comparison.

An embodiment vehicle control system includes a drinking measurement terminal provided in a vehicle, a user terminal including a photographing unit, and a server configured to determine whether to approve a key authority for the vehicle to a user based on a facial image of the user, in response to a key authority request for the vehicle and the facial image of the user being received from the user terminal, generate a door control signal for the vehicle based on whether the key authority for the user has been approved, determine whether the user meets driving suitability requirements based on a drinking measurement result provided by the drinking measurement terminal and the facial image of the user received from the user terminal, and generate a driving control signal based on whether the user meets the driving suitability requirements.

An embodiment vehicle control system includes a drinking measurement terminal provided in a vehicle, a user terminal including a photographing unit, and a server configured to determine whether to approve a key authority for the vehicle to a user based on a facial image of the user, in response to a key authority request for the vehicle and the facial image of the user being received from the user terminal, generate a door control signal for the vehicle based on whether the key authority for the user has been approved, determine whether the user meets driving suitability requirements based on a drinking measurement result provided by the drinking measurement terminal and the facial image of the user received from the user terminal, and generate a driving control signal based on whether the user meets the driving suitability requirements.

Mental state analysis is performed by obtaining video of an individual as the individual interacts with a computer, either by performing various operations, such as driving a vehicle or being a passenger in a vehicle, or by consuming a media presentation. The video is analyzed to determine eye-blink information on the individual, such as eye-blink rate or eye-blink duration. The blink-rate information is compensated for a context. Blinking for a group of people of which the individual is a part is evaluated. Mental states of the individual are inferred for the blink event based on the blink event, the blink duration of the individual, the difference in blinking between the individual and the remainder of the group, and the blink-rate information that was compensated. The blink-rate information and associated mental states can be used to modify an advertisement, a media presentation, a digital game, or vehicle controls.

Mental state analysis is performed by obtaining video of an individual as the individual interacts with a computer, either by performing various operations, such as driving a vehicle or being a passenger in a vehicle, or by consuming a media presentation. The video is analyzed to determine eye-blink information on the individual, such as eye-blink rate or eye-blink duration. The blink-rate information is compensated for a context. Blinking for a group of people of which the individual is a part is evaluated. Mental states of the individual are inferred for the blink event based on the blink event, the blink duration of the individual, the difference in blinking between the individual and the remainder of the group, and the blink-rate information that was compensated. The blink-rate information and associated mental states can be used to modify an advertisement, a media presentation, a digital game, or vehicle controls.

A device and method for safety stoppage of an autonomous road vehicle having a localization system and sensors for monitoring the vehicle surroundings and motion, and a signal processing system for processing sensor signals enabling an autonomous drive mode. A processor continuously predicts where a drivable space exists, calculates and stores a safe trajectory to a stop within the drivable space, determines a current traffic situation, and determines any disturbances in sensor data, vehicle systems or components enabling the autonomous drive mode. If an incapacitating disturbance is determined, a request for a driver to take control is signaled and it is determined if the driver has assumed control. If not, the vehicle is controlled to follow the most recent safe trajectory to a stop in a safe stoppage maneuver during which, or after, one or more risk mitigation actions adapted to the determined current traffic situation are performed.

A vehicle travel control apparatus includes an actuator and an electronic control unit. The electronic control unit is configured to determine whether a driver of a vehicle is in an abnormal state where the driver loses an ability of driving the vehicle. The electronic control unit is also configured to stop the vehicle at an abnormality determination time point onward, and control a vehicle speed by using the actuator such that the vehicle speed does not become lower than a lower limit vehicle speed in a period from the abnormality determination time point to a time point when the vehicle is stopped. The lower limit vehicle speed is set in accordance with a road shape influencing timing when a driver of another vehicle traveling behind the vehicle visually recognizes the vehicle.

A system of computers configured to perform particular operations or actions by virtue of having software, firmware, hardware, or a combination of them on the system that in operation causes or cause the system to perform the actions. One general aspect includes a system, including a computer programmed to control each of an autonomous vehicle propulsion, steering, and braking, where the vehicle is subject to autonomous control. The system makes a first determination, based on data from a vehicle sensor, of availability of a vehicle parking area and makes a second determination, based on at least a geolocation of the vehicle, a system fault, a conditional boundary and availability of the parking area, to autonomously park in the parking area. Other embodiments of this aspect include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods.