An electronic apparatus is provided. The electronic apparatus includes at least one processor configured to detect, by a sensor, a driving state of a vehicle or a driving state of another vehicle in a vicinity of the vehicle while the vehicle is being driven, obtain state data including the driving state of the vehicle and the driving state of the other vehicle, and use at least one data recognition model to determine a dangerous situation of the vehicle after a certain period of time while the vehicle is being driven, based on the obtained state data. The electronic apparatus may predict a dangerous situation of the vehicle by using a rule-based algorithm or an artificial intelligence (AI) algorithm. The electronic apparatus predicts the dangerous situation of the vehicle by using at least one of machine learning, a neural network, and a deep learning algorithm.

Methods and systems for monitoring use, determining risk, and pricing insurance policies are provided. In one aspect, a computer-implemented method for generating or adjusting an insurance policy is provided. With an insurance customer's permission, data regarding several factors associated with the customer may be received via wireless communication from their mobile device, vehicle controller, or smart home controller. The data may be related to (i) the customer's home, (ii) an autonomous or semi-autonomous vehicle, and/or (iii) home and vehicle features, maintenance history, and/or repairs performed to each over time. Risk levels may be determined using the data received. Aspects of one or more insurance policies (auto, home, life, etc.) may be adjusted based upon the risk levels. An updated insurance discount may be transmitted to the customer's mobile device via wireless communication for their review and approval. As a result, insurance discounts may be provided to risk averse insurance customers.

Disclosed is a method and apparatus for controlling operation of an autonomous vehicle based on driver operation profiles. The method may include capturing, from a plurality of vehicle systems, driver-vehicle interaction data from the plurality of vehicle systems indicative of a plurality of driving characteristics of a driver of the autonomous vehicle. The method may also include determining, by a processing system, when the driver-vehicle interaction data deviates from a driver operation profile stored in the memory. Furthermore, the method may include controlling, by the processing system operation of at least one system of the autonomous vehicle in response to determining that the driver-vehicle interaction data deviates from the driver operation profile.

The present disclosure relates to a method for determining the fatigue of a driver of a motor vehicle, wherein the fatigue is determined while taking into account the steering behavior of the driver, characterized in that the method includes the following steps: determination of a hysteresis of the steering system or the fatigue detection system, and taking into account the detected hysteresis in the determination of the fatigue of the driver. Furthermore, the disclosure relates to a device that is set up to execute the method.

Various embodiments may include methods of limiting a steering command angle during operation of a vehicle. Various embodiments may include determining a speed of the vehicle, applying the determined speed to a dynamic model of the autonomous vehicle to determine a steering wheel command angle limit. Embodiments may further include determining whether a received or commanded steering command angle exceeds the steering wheel command angle limit and altering the steering command angle to an angle no greater than the maximum steering command angle if the received/commanded steering command angle exceeds the steering wheel command angle limit.

The vehicle includes an operation switch for manually operating the operation state of the accessories. The vehicle control system includes a first controller that performs an evacuation traveling in response to a decrease in the driver's consciousness level, and a second controller that controls an operation state of the accessories based on a request from the first controller or operation information of the operation switch. The first controller is configured to transmit, to the second controller, a specific operation rejection request for performing a specific operation rejection process of rejecting the control of the accessories based on the specific operation of the operation switch in response to a decrease in the driver's consciousness level. The second controller is configured to perform the specific operation rejection process when the specific operation rejection request is received from the first controller.

A system and method for interfacing an autonomous or remote control drive-by-wire controller with a vehicle's control modules. Vehicle functions including steering, braking, starting, etc. are controllable by wire via a control network. A CAN architecture is used as an interface between the remote/autonomous controller and the vehicle's control modules. A CAN module interface provides communication between a vehicle control system and a supervisory, remote, autonomous, or drive-by-wire controller. The interface permits the supervisory control to control vehicle operation within pre-determined bounds and using control algorithms.

A vehicle control method and an intelligent computing device for controlling a vehicle are disclosed. An intelligent computing device for controlling a vehicle according to an embodiment of the present disclosure acquires a direction of a line of sight of a passenger of a vehicle through at least one sensor included in the vehicle and displays driving information of the vehicle through at least one of a plurality of displays included in the vehicle on the basis of the direction of the line of sight of the passenger, to thereby provide convenience to the passenger. One or more of the autonomous vehicle, the intelligent computing device and the server of the present disclosure can be associated with artificial intelligence (AI) modules, unmanned aerial vehicle (UAV) robots, augmented reality (AR) devices, virtual reality (VR) devices, 5G service related devices, etc.

The present technology relates to a vehicle control apparatus, a vehicle control method, and a movable object that make it possible to realize more appropriate switching of an operation mode.

A vehicle control unit switches operation modes of driving mechanisms such as an engine or a driving motor relating to driving (travelling) of a vehicle, a braking device relating to braking of the vehicle, and a steering mechanism relating to steering of the vehicle at different timings in accordance with an operation mode switching trigger of the vehicle, on a basis of, for example, a state of an individually identified driver or a situation around the vehicle. The present technology is applicable to, for example, an ECU for controlling a vehicle that performs automatic driving.

A passenger car that has a function of being able to partially or fully drive, not in accordance with driver's intentions, includes a grip that is provided independent of an operation system of the passenger car and is configured to receive driver's operating intentions according to operation of the driver, and a control unit that is configured to determine whether a driver's operating intention has been changed to another intention via the grip and to determine, when the operating intention has been changed, whether to give an operating initiative to the driver.