Disclosed herein are a drowsy-driving prevention method and a drowsy-driving prevention system that execute artificial intelligence (AI) algorithms and/or machine learning algorithms in a 5G environment connected for Internet of Things in order to control a stimulation unit and a measurement unit. The drowsy-driving prevention method may include a stimulating step, a measuring step, and a determining step. A stimulation unit outputs a stimulus in order to stimulate a sensory organ of a driver, and then a measurement unit measures a biometric signal of the driver from the time when the stimulus is outputted. Upon determining that the biometric signal of the driver is not a response to the stimulus, the stimulation unit may output the stimulus again.

A device is provided for controlling longitudinal guidance of a vehicle designed to be driven in an at least partly automated manner. The vehicle includes an actuation element for having a driver control longitudinal guidance, the actuation element being blockable within predefined limit positions in accordance with a variable representing the degree of automation of the vehicle and a first condition. The actuation element can be unblocked in accordance with the variable representing the degree of automation of the traveling vehicle and at least one second condition.

An embodiment method for controlling autonomous driving in a vehicle with an incorporated semi-autonomous driving system and warning alarm system includes monitoring a status of a driver during semi-autonomous driving, generating a state signal based on the monitoring, the state signal indicating a state that includes a warning state, a coasting state and a braking state, and performing a driver emergency assistance operation based on the state signal, wherein the vehicle transitions to the warning state, the coasting state, or the braking state based on the state signal to perform a corresponding driver emergency assistance operation.

A system for notifying emergency services of a vehicular crash may (i) receive sensor data of a vehicular crash from at least one mobile device associated with a user; (ii) generate a scenario model of the vehicular crash based upon the received sensor data; (iii) store the scenario model; and/or (iv) transmit a message to one or more emergency services based upon the scenario model. As a result, the speed and accuracy of deploying emergency services to the vehicular crash location is increased. The system may also utilize vehicle occupant positional data, and internal and external sensor data to detect potential imminent vehicle collisions, take corrective actions, automatically engage autonomous or semi-autonomous vehicle features, and/or generate virtual reconstructions of the vehicle collision.

A vehicle driving assist system includes an imaging device, an alarm, and a controller. The controller includes a facial recognition unit, an occupant determination unit, and a loss determination unit. The facial recognition unit recognizes at least a part of an occupant's face in first captured images acquired from the imaging device. The occupant determination unit determines a driving state of the occupant on the basis of a second captured image in which at least the part of the face is recognizable, and generate a first alert request if the occupant is unable to drive the vehicle. The loss determination unit generates a second alert request if a third captured image in which at least the part of the face is unrecognizable occurs two or more times. The alarm outputs an alert to the occupant on the basis of the first and second alert requests.

A travel controller recognizes an action of a driver of a vehicle from image data of the driver. The travel controller obtains information indicating that determination of whether autonomous driving of the vehicle is permissible cannot be given. When the information indicating that determination of whether the autonomous driving of the vehicle is permissible cannot be given is obtained, the travel controller operates a human interface to request the driver for an instruction to drive the vehicle. The travel controller determines whether the driver is giving an instruction to drive the vehicle from an action of the driver recognized in response to the request for an instruction to drive the vehicle. When determined in the determination process that the driver is giving an instruction to drive the vehicle, the travel controller operates a drive system of the vehicle to permit autonomous driving of the vehicle.

A vehicle may include a communicator configured to receive driver state information from a surrounding vehicle, a detector configured to obtain driving information related to surrounding vehicle, a driving assistance module configured to control at least one of a driving speed or a driving direction and a controller configured to determine whether a driver of the surrounding vehicle is in drowsiness state based on whether the received driver state information satisfies a predetermined condition and if the driver of the surrounding vehicle is determined as drowsiness state, control the driving assistance module to avoid the surrounding vehicle.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, an identity of a vehicle operator may be determined and a vehicle operator profile and/or operating data regarding autonomous operation features of the vehicle may be received after the vehicle operator opts into a rewards program and agrees to share their data. Autonomous operation and vehicle operator risk levels associated with operation of the autonomous or semi-autonomous vehicle may be determined. Based upon the risk levels and/or comparison thereof, one or more autonomous operation features may be disengaged. A preparedness level of the vehicle operator to assume or reassume control of operating the vehicle is determined prior to disengagement. If satisfactory, an alert is presented to the vehicle operator prior to disengagement of the autonomous operation features.

A method for switching modes for operating a vehicle, a non-transitory computer-readable medium for performing the method, and information processing apparatuses. The method includes determining, by circuitry of an information processing apparatus, whether a mode for operating the vehicle is to be switched from one of autonomous and manual driving modes to the other of the autonomous and manual driving modes. A state of a driver of the vehicle is obtained when the mode for operating the vehicle is determined to be switched. The method further includes switching, by the circuitry, the mode for operating the vehicle from the one of the autonomous and manual driving modes to the other of the autonomous manual driving modes based on the obtained state of the driver.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having autonomous or semi-autonomous operation features are provided. According to certain aspects, a computer-implemented method for generating or updating usage-based insurance policies for autonomous or semi-autonomous vehicles may be provided. A request to generate an insurance quote may be received via wireless communication, and with the customer's permission, risk levels associated with intended usage by the customer of an autonomous or semi-autonomous vehicle may be determined. An insurance policy may be adjusted based upon the risk levels and the intended vehicle usage. The insurance policy may then be presented on the customer's mobile device for review and approval. In some aspects, the vehicle may be rented, and the intended vehicle usage is measured in distance or duration of vehicle operation. Insurance discounts may be provided to risk averse vehicle owners based upon low risk levels.