Provided is a wearable device including a main body that is configured to be worn on a specific portion of a user's body, a sensing unit, provided in the main body, that senses a biological signal of a user, a storage unit that collects log information relating to the biological signal, and in which an index pattern relating to a state of the user included in the collected log information is stored, and a controller that sets a reference driving index, using the stored index pattern, in which when it is sensed that the user gets in a vehicle, the controller determines a current driving index corresponding to the biological signal that is sensed before and after the user gets in the vehicle, based on the reference driving index being set, and outputs feedback that notifies the state of the user that corresponds to a result of the determination.

The efficiency of commercial vehicle operations can be facilitated by using a blockchain. The blockchain can be used to track commercial operators and provide a logistical network for swapping operators. An operator identity for an initial operator of a vehicle and a route limitation indicating operator restrictions with respect to a route can be recorded in a blockchain database. Using a vehicle operation history retrieved from the blockchain database for the initial operator, a time frame for operation of the vehicle by the initial operator can be determined based on the route limitation and the vehicle operation history. An operator swap event at a swap location can be coordinated so that control of the vehicle can be transferred from the initial operator to a subsequent operator based on the time frame. The operator swap event and a subsequent operator identity can be recorded in the blockchain database.

A device, method and computer program product provide driver state estimation. A first index value correlated with an amount of an attention source allocated to top-down attention of a driver in a first area where the top-down attention of the driver is predominant and a second index value correlated with an amount of the attention source allocated to bottom-up attention of the driver in a second area where the bottom-up attention of the driver is predominant are determined. The driver state including an attention function degraded state of the driver may be estimated based on the first index value in the first area and the second index value in the second area. A vehicle being operated by the driver may be controlled in accordance with the estimated driver state.

An information processing system includes a task acquisition unit configured to acquire a task to be presented to a driver, a load identification unit configured to identify a current driving load, and an output determination unit configured to determine whether the task is to be output to the driver or not. The output determination unit determines to output the task if a response expected time from output of the task to a response action by the driver is longer than a threshold value based on the driving load.

A driving burden estimation device, which is equipped to a subject vehicle and estimates a driving burden on a driver of the subject vehicle, includes a distance detection portion detecting an inter-vehicle distance between a non-subject vehicle travelling ahead of the subject vehicle and the subject vehicle, a speed detection portion detecting a traveling speed of the subject vehicle, a calculation portion calculating an inter-vehicle time taken until the subject vehicle reaches a present location of the non-subject vehicle based on the inter-vehicle distance and the traveling speed, and a burden estimation portion estimating the driving burden according to the inter-vehicle time and the traveling speed in such a manner that the driving burden decreases as the traveling speed becomes higher under a same inter-vehicle time.

A control system for a vehicle comprises an automated driving control part configured to automatically perform driver assistance operations for which the driver has given permission among a plurality of driver assistance operations. The automated driving control part comprises a package determining part using at least one of the surrounding environment information, the host vehicle information, and the driver information as the basis to determine a driver assistance package packaging permissions for a plurality of driver assistance operations and a package proposing part proposing to the driver to switch to a driver assistance package so as to obtain permissions for the individual driver assistance operations permitted in the driver assistance package.

An automatic driving system includes an actuator and an electronic control unit. The electronic control unit is configured to recognize a position, a surrounding environment, a state of the vehicle. The electronic control unit is configured to generate a first traveling plan based on the recognized position, the recognized surrounding environment, and the recognized state of the vehicle and calculate reliability of the first traveling plan. The electronic control unit is configured to generate a second traveling plan of the vehicle based on one or two of the recognized position, the recognized surrounding environment, and the recognized state of the vehicle and calculate reliability of the second traveling plan. The electronic control unit is configured to select a traveling plan having the higher reliability out of the first traveling plan and the second traveling plan, and control the traveling of the vehicle by the actuator.

A method is intended to regulate the speed of an at least partially automated vehicle traveling on a first traffic lane adjacent to a second traffic lane. This method comprises a step (10-80) in which, if a radius of curvature of a future portion representative of a bend is detected, a phase of deceleration to a first deceleration speed adapted to the radius of curvature is imposed on the first vehicle unless it is in the course of overtaking a second vehicle traveling in the second traffic lane, since in that case a current speed of the second vehicle is determined and then, if the first deceleration speed is less than this current speed, the first deceleration speed is replaced with a second deceleration speed greater than this current speed.

An interaction method for an intelligent cockpit is provided. It relates to the technical field of artificial intelligence, and in particular to intelligent interaction. An implementation is: acquiring multimodal information associated with the intelligent cockpit according to an interaction instruction of a user; preprocessing the multimodal information; determining, by using a pre-trained multimodal information alignment model, whether the preprocessed multimodal information is aligned with the interaction instruction; and determining a response strategy for the interaction instruction based on a result of the determination and the preprocessed multimodal information.

A biased driving system and a biased driving method are capable of controlling biased driving of a vehicle in consideration of host vehicle location recognition accuracy, nearby vehicle risk, driving style, road curvature, and road shape. The biased driving system includes a control parameter creation unit configured to extract an object causing biasing of a host vehicle using converged object information, which is map information including location and speed of a vehicle around the host vehicle, to create an imaginary line of the extracted object by reflecting at least one of risk of a nearby vehicle, location recognition accuracy, driving style of a driver of the host vehicle, road curvature, or road shape, and to create a control parameter using the imaginary line.