An autonomous driving vehicle that is a mobile unit according to this disclosure is a mobile unit configured to transport a user to a facility that provides services or commercial products and, at the same time, configured to perform an advertising activity for the services or the commercial products of the facility. The mobile unit includes a control unit configured to acquire data for providing a promotion in the mobile unit and is configured to provide a promotion in the mobile unit based on the acquired data. The promotion is related to the services and the commercial products at the facility.

A system and method tier tracking competitive driving on a driving circuit provides a unique driving experience for multiple drivers that allows a driving circuit, drivers and their vehicles, and driver statistics to be tracked, recorded, and displayed on a shared network. In some embodiments, the system and method provide a software application that enables multiple drivers to simultaneously drive on the same driving circuit, and on the same network. The driving circuit is a real public roadway that is digitally displayed, along with the position of each driver. The driving circuit is defined by a starting point and an ending point, and the position of the drivers is also visible on the driving circuit. Further, multiple driver statistics are recorded and displayed on the network for all to see.

A method and system of distributing media content includes receiving a data packet including media content from one or more content providers. A location of one or more content delivery vehicles (CDVs) is determined. For each CDV of the one or more CDVs, a content to be sent to the CDV is selected. The content is sent to the CDV to be displayed on an outward display device of the CDV upon the CDV entering a predetermined zone, in a way that is synchronous to other outward display devices of the CDVs in the predetermined zone.

A method and system of determining a viewership of a media content includes displaying a media content on an outward display device. For each vehicle in a predetermined range of the outward display device, a data packet comprising data from one or more sensors of the vehicle is received. It is determined whether the vehicle is unique based on the data packet. Upon determining from the data packet that the vehicle is unique, a dwell time of the vehicle is determined with respect to the displayed media content on the outward display device.

A self-driving vehicle with an external advertising platform, such as video display signage, designed to provide on-demand video ever-changing advertising. The audiences of such advertisements would include those individuals that were in proximity to the self-driving vehicle as it traversed a geographic area. A large fleet of such self-driving vehicles could constantly move between targeted areas, including suburban neighborhoods to reach a maximum audience, without the need of a human operator.

Embodiments generally relate to a method, an apparatus, and a machine-readable medium for communicating product information, particularly where the product is a vehicle. Embodiments relate to a method comprising receiving usage information relating to an at least one feature of a product, analyzing the usage information to determine if the received information exceeds a usage threshold, and selecting educational information based on the usage information. The educational information comprises information relating to the at least one feature. The method further comprises selecting an at least one communication channel, and communicating the educational information through the at least one communication channel.

System, methods, and embodiments described herein relate to managing benefit distribution in a vehicular micro cloud in which a plurality of vehicle members collaboratively execute operations in an environment of the vehicular micro cloud. A disclosed method may include monitoring a distributed execution of a micro cloud operation initiated by the ego vehicle, determining a contribution level of a vehicle member of the vehicular micro cloud that contributed toward completing the micro cloud operation, storing a record indicating the contribution level, identifying an occurrence of an event, the event being a micro cloud interaction or encounter with the vehicle member subsequent to completion of the micro cloud operation, determining, based at least in part on the record indicating the contribution level, a reciprocal task that benefits the vehicle member, and executing the reciprocal task during the event.

Transportation systems have artificial intelligence including neural networks for recognition and classification of objects and behavior including natural language processing and computer vision systems. The transportation systems involve sets of complex chemical processes, mechanical systems, and interactions with behaviors of operators. System-level interactions and behaviors are classified, predicted and optimized using neural networks and other artificial intelligence systems through selective deployment, as well as hybrids and combinations of the artificial intelligence systems, neural networks, expert systems, cognitive systems, genetic algorithms and deep learning.

Methods, apparatuses, systems, and computer-readable storage media for processing cabin interior images of vehicles are provided. In one aspect, a method includes: acquiring a cabin interior image captured by an image capturing device positioned in a cabin of the vehicle, obtaining, for each of one or more faces involved in the cabin interior image, a face bounding box corresponding to the face by performing face detection on the cabin interior image, and determining, for each of one or more face bounding boxes, at least one of an identity attribute of a cabin interior person corresponding to the face bounding box or a position of the cabin interior person corresponding to the face bounding box in the cabin.

The vehicle control system/method for adapting a control function based on a user profile may comprise: a gesture recognition module; a user profile module; a function control module; a processor; a non-transitory storage element coupled to the processor; encoded instructions stored in the non-transitory storage element, wherein the encoded instructions when implemented by the processor, configure the system to: identify a user; retrieve a user profile for the identified user; receive at a gesture recognition module, an input indicating a gesture from the user; identify a control function request corresponding to the gesture input; send a verification of the control function request; and receive at a function control module characteristics parsed from the user profile that effect the control function request by the user profile module to adapt a control function command for an adapted control function output by the function control module.