A system for controlling vehicle functions based on monitored driving performance includes one or more sensors that capture performance-based data characterizing driving-performance implicating behaviors of a driving team during one or more driving campaigns. The performance-based data is analyzed according to one or more performance indicators to determine a compatibility score for the driving team that characterizes how driving team composition affects driving performance. One or more vehicle functions can then be controlled one or more vehicle functions based on compatibility scores for various driving teams.

A system for controlling vehicle functions based on monitored driving performance includes one or more sensors that capture performance-based data characterizing driving-performance implicating behaviors of a driving team during one or more driving campaigns. The performance-based data is analyzed according to one or more performance indicators to determine a compatibility score for the driving team that characterizes how driving team composition affects driving performance. One or more vehicle functions can then be controlled one or more vehicle functions based on compatibility scores for various driving teams.

An approach is provided for using a passenger-based driving profile. The approach involves detecting an identity of a user of a vehicle. The approach also involves retrieving a passenger profile of the user based on the identity. The passenger profile is generated based on sensor data indicating a reaction of the user to at least one vehicle driving behavior previously experienced by the user as a vehicle passenger. The approach further involves configuring the vehicle based on the passenger profile.

An approach is provided for using a passenger-based driving profile. The approach involves detecting an identity of a user of a vehicle. The approach also involves retrieving a passenger profile of the user based on the identity. The passenger profile is generated based on sensor data indicating a reaction of the user to at least one vehicle driving behavior previously experienced by the user as a vehicle passenger. The approach further involves configuring the vehicle based on the passenger profile.

An apparatus for providing a customized mobility driving path using a brain wave signal includes a sensor configured to collect a brain wave signal for a driver of a mobility in a predetermined channel region, an analyzer configured to determine information to be provided regarding a planned path by analyzing the brain wave signal collected in the predetermined channel region, and a controller configured to control an operation of the mobility based on the information to be provided.

A computer-implemented method for generating ground truth data may include the following steps carried out by computer hardware components: for a plurality of points in time, acquiring sensor data for a respective point in time; and for at least a subset of the plurality of points in time, determining ground truth data of the respective point in time based on the sensor data of at least one present and/or past point of time and at least one future point of time.

A computer-implemented method for generating ground truth data may include the following steps carried out by computer hardware components: for a plurality of points in time, acquiring sensor data for a respective point in time; and for at least a subset of the plurality of points in time, determining ground truth data of the respective point in time based on the sensor data of at least one present and/or past point of time and at least one future point of time.

A blind spot assist device includes a first optical element and a second optical element. The first optical element reflects a part of incident light having a first angle of incidence at different second angles such that light is incident at the first angle on the first optical element from an outdoor view and reflected at the second angles on the first optical element. The second optical element is positioned to face the first optical element and reflects incident lights having different angles of incidence at a third angle such that lights reflected by the first optical element are incident at the second angles on the second optical element and reflected at the third angle on the second optical element toward a user.

A blind spot assist device includes a first optical element and a second optical element. The first optical element reflects a part of incident light having a first angle of incidence at different second angles such that light is incident at the first angle on the first optical element from an outdoor view and reflected at the second angles on the first optical element. The second optical element is positioned to face the first optical element and reflects incident lights having different angles of incidence at a third angle such that lights reflected by the first optical element are incident at the second angles on the second optical element and reflected at the third angle on the second optical element toward a user.

The disclosure includes embodiments for improving an operation of a vehicular micro cloud by increasing a continuity of a vehicular micro cloud service provided by the vehicular micro cloud. A method includes maintaining a data structure of stored driving maneuver shapes, wherein each stored driving maneuver shape includes a set of driving maneuvers. The method includes sensing a candidate vehicle and a driving maneuver shape of the candidate vehicle. The method includes determining a matching driving maneuver shape from the stored driving maneuver shapes based on a match between the driving maneuver shape of the candidate vehicle and at least a portion of the matching driving maneuver shape. The method includes estimating a next driving maneuver of the candidate vehicle. The method includes assigning a role to the candidate vehicle in the vehicular micro cloud based on the next driving maneuver of the candidate vehicle.