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 coordinated virtual scene for an autonomous vehicle is disclosed. A real route for an autonomous vehicle can be determined. This autonomous vehicle route can be employed to determine a virtualized route in a virtual environment. The autonomous and virtualized routes can be coordinated. A level of coordination can be selectable via one or more selectable congruence values. Generally, a greater congruence value can correspond to a greater coherence between the autonomous route and the virtualized route. A congruence value can be selectable, which can allow an occupant to indicate a level of coherence that is acceptable to an occupant. A virtual environment can be selectable to enable the virtualized routes to be more relevant to an autonomous vehicle occupant, passenger, operator, etc. Moreover, selection of a virtual environment can be predicated on a selection rule having been satisfied. Virtual environments can be non-fiction, fiction, or both.

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.

System, methods, and other embodiments described herein relate to sensing interactions of a passenger with components within a vehicle. In one embodiment, a method includes acquiring, from a radar of a vehicle, radar data about a passenger cabin of the vehicle. The method includes determining a current state of the passenger cabin according to the radar data. The method includes, responsive to identifying that the current state indicates that a passenger satisfies a threshold in relation to an unpermitted action, generating a response that counters the unpermitted action.

Vehicle manipulation is performed using crowdsourced data. A camera within a vehicle is used to collect cognitive state data, including facial data, on a plurality of occupants in a plurality of vehicles. A first computing device is used to learn a plurality of cognitive state profiles for the plurality of occupants, based on the cognitive state data. The cognitive state profiles include information on an absolute time or a trip duration time. Voice data is collected and is used to augment the cognitive state data. A second computing device is used to capture further cognitive state data on an individual occupant in an individual vehicle. A third computing device is used to compare the further cognitive state data with the cognitive state profiles that were learned. The individual vehicle is manipulated based on the comparing of the further cognitive state data.

A control system using an in-vehicle gesture input, and more particularly, a system for receiving a vehicle occupant's gesture and controlling the execution of vehicle functions. The control system using an in-vehicle gesture input includes an input unit configured to receive a user's gesture, a memory configured to store a control program using an in-vehicle gesture input therein, and a processor configured to execute the control program. The processor performs an information display control for areas layered in a windshield screen according to the user's gesture.

A guidance apparatus for an autonomous vehicle and a method therefor are provided. The guidance apparatus includes a first guidance device that guides a passenger in the autonomous vehicle through first response information, a second guidance device that guides a rescuer outside the autonomous vehicle through second response information, and a controller that controls guidance on the first response information and guidance on the second response information, when abnormality occurs in the autonomous vehicle.

A method for operating a motor vehicle in the event of an unavoidable collision with a collision object, in particular another vehicle. Environment data relating to the collision object are determined by an environment sensor device including at least one environment sensor and are evaluated to determine at least one driving intervention information for reducing the consequences of a collision. The motor vehicle is automatically guided in accordance with the driving intervention information, and the evaluation of the environment data is carried out together with structural information of the own motor vehicle describing the vehicle structure, in particular including elements absorbing collision energy of the motor vehicle, in such a way that a changed collision point maximizing the deformation energy absorbed by the vehicle structure and to be produced by the driving intervention information is determined when the driving intervention information is determined.

A method of providing a content and advertisement customized to a passenger boarding a vehicle includes: receiving passenger information about a passenger from a user terminal of a passenger in a vehicle by a server; determining a passenger's preference based on the passenger information, and selecting a plurality of pieces of content information and a plurality of pieces of advertisement information according to the determined passenger's preference by the server; calculating an estimated travel time for the vehicle to arrive at a destination based on the passenger information by the server; creating a playlist by selecting the content information and the advertisement information such that the total sum of the replay time is at least equal to the estimated travel time among a plurality of pieces of selected content information and a plurality of pieces of selected advertisement information; and transmitting the created playlist to the passenger terminal.

This document discloses methods of acquiring a 3D map of an area with multiple heights. The 3D map may include tiles, each of which provides ground height information for one or more of the plurality of levels. A grid corresponding to the 3D map is generated. The grid may divide each of the plurality of tiles into a plurality of cells, The grid may include: (a) a unique index assigned to each of the plurality of cells, in which the unique index is convertible to an index of a tile of the 3D map in which that cell is included, and (b) a plurality of gridlets associated with each of the plurality of cells, wherein a number of the plurality of gridlets associated with a cell is equal to a number of height levels represented by a tile of the 3D map in which that cell is included.