A vehicle can include a window. The window can include an interior side and an exterior side. The vehicle can include a camera operatively positioned to capture visual data of a portion of an exterior environment of the vehicle. The vehicle can include a dual-sided transparent display forming at least a portion of the window. The vehicle can include a processor operatively connected to the camera and the dual-sided transparent display. The processor can be configured to selectively cause the dual-sided transparent display to display exterior visual information on the exterior side. The processor can be configured to cause the dual-sided transparent display to display interior visual information on the interior side. The interior visual information can include the visual data of the portion of the exterior environment of the vehicle.

In a vehicle control system (1, 101), a control unit (15) is configured to execute a stop process by which the vehicle is parked in a prescribed stop position located within a permitted distance when it is detected that the control unit or the driver has become incapable of properly maintaining a traveling state of the vehicle, and, in executing the stop process, the control unit computes an agreement between an object (X) contained in the map information based on an estimated position of the vehicle and an object (Y) on the road detected by an external environment recognition device (6), the permitted distance being smaller when the agreement is below a prescribed agreement threshold than when the agreement is equal to or above the agreement threshold.

A distracted driving analysis system for identifying distracted driving events is provided. The system includes a processor in communication with a memory device programmed to: (i) receive driving event records including phone usage by a user that occurred within a time period of a driving event, (ii) divide the driving event records into at least two clusters based at least in part upon common features of one or more driving event records of the plurality of driving event records by processing the driving event records using an unsupervised machine learning algorithm, (iii) generate a trained model based at least in part upon the at least two clusters including cluster labels, (iv) process a new driving event using the trained model, (v) assign the new driving event to one of the at least two clusters using the trained model, and (vi) based at least in part upon the cluster labels for the assigned cluster, determine whether the new driving event is an actual distracted driving event or a passenger event.

Exemplary embodiments described in this disclosure are generally directed to systems and methods for detecting alertness of a driver of a vehicle. In one exemplary method, a driver alertness detection system determines whether a driver of a vehicle is susceptible to lagophthalmos. If the driver is susceptible to lagophthalmos, the driver alertness detection system may evaluate an alertness state of the driver by disregarding an eyelid status of the driver and monitoring biometrics of the driver such as, a heart rate and/or a breathing pattern. Alternatively, the driver alertness detection system may evaluate an alertness state of the driver by placing a higher priority on the biometrics of the driver than on the eyelid status. However, if the driver is not susceptible to lagophthalmos, the driver alertness detection system evaluates the alertness state by placing a higher priority on the eyelid status than on the biometrics of the driver.

A vehicle control apparatus operates in various modes, e.g., a normal mode in which plural travel functions of a vehicle are controlled by plural driving functions of a driver; an automatic mode in which all driving functions are performed by the vehicle; an optimization mode in which, when a temporary reduction of driving performance of any of the plural driving functions of the driver is detected, physical stimulation and/or information that makes the driver recognize the temporary reduction of the driving performance is provided to the driver; and an assistance mode in which, when a chronic reduction of the driving performance of any of the plural driving functions of the driver is detected, information on assistance with execution of the driving performance is provided to the driver.

A vehicle system includes, a sensing device configured to detect vehicle status information including gear-stage information and steering information of a steering wheel, and a control device configured to determine a target parking spot among parking spots included in a parking lot based on the gear-stage information and the steering information when the vehicle maintains a stopped state for more than a predetermined period in the parking lot, and to execute an autonomous parking function for parking at the target parking spot.

An information processing device includes an external information detection unit (141) that detects an object that is present outside a moving body based on data detected by an external detection unit, an internal information detection unit (142) that detects a direction of a driver's face inside the moving body based on data detected by an internal detection unit, a determination unit (155) that determines whether a position of the object detected by the external information detection unit (141) and the direction of the driver's face detected by the internal information detection unit (142) are in a same direction, and an output control unit (105) that outputs an alert to a driver more strongly when the position of the object is not in the same direction as the direction of the driver's face, as compared to a case where the position of the object is in the same direction as the direction of the driver's face.

There is provided an information processing apparatus including an eyeball behavior analysis unit (300) that analyzes an eyeball behavior of a driver who drives a moving object, in which the eyeball behavior analysis unit dynamically switches an analysis mode according to a driving mode of the moving object.

The technology relates to providing an enhanced user experience for riders in autonomous vehicles. Two or more displays may be arranged at different locations within a vehicle to provide notifications, alerts and control options. Information may be dynamically and automatically switched between these displays, as well as a rider's own personal communication device(s). What information to present on each screen can depend on factors including how many riders are in the vehicle, their seating within the vehicle, how their attention is focused and/or display location and size. Certain information may be mirrored or otherwise duplicated among multiple screens while other information can be presented asymmetrically on different screens. Presented information may include a “monologue” from the vehicle explaining why a driving action is taken or not taken, alerts about important conditions, buttons to control certain functionality of the vehicle, or other information that may be of interest to the rider.

A drive mode switch control device controls switching of driving between a driver and an autonomous driving function. The drive mode switch control device includes an operation information acquisition unit, a drive state switch unit, an attitude determination unit, and an approved target setting unit. The operation information acquisition unit acquires an operation information item associated with the driving operation input to at least one of a plurality of operation targets. The drive state switch unit executes an override that switches from an autonomous driving state to another driving state. The attitude determination unit acquires a plurality of detection information items related to driving attitudes of the driver, and determine whether each of the plurality of detection information items is appropriate for the driving operation. The approved target setting unit sets an approved operation target or a disapproved operation target to each of the plurality of operation targets.