A front-end image acquisition component acquires photographs and/or videos of the exterior of a vehicle traveling on a path between a first predefined location and a second predefined location. In one aspect, an image acquisition system comprises a first camera support structure, a second camera support structure, an image processor, and a memory. Cameras are affixed to each of the camera support structures for acquiring image data of a subject vehicle. Image data is controlled by the image processor and the memory. In another aspect, an image acquisition system comprises a first camera tower, a second camera tower, a camera boom. Cameras are affixed to each of the camera towers. In another aspect, a method of identifying features of the exterior of a vehicle includes acquiring a series of images from a front-end component, accessing previously acquired images and associated metadata stored in a database, executing machine learning algorithms using the previously acquired information to identify at least one exterior vehicle feature, and executing machine learning algorithms using the presently acquired series of images to identify at least one exterior feature of the vehicle.

An information processing device includes a control unit configured to execute acquiring a crowding level of a destination store that is a destination of a vehicle in which a user rides, extracting a store with a crowding level lower than the crowding level of the destination store as a predetermined recommended store from among other stores that belong to the same genre as the destination store and that do not belong to the same affiliated group as the destination store when the crowding level of the destination store is higher than a predetermined threshold value, generating a proposal advertisement for proposing to change the destination of the vehicle from the destination store to the predetermined recommended store, and presenting the proposal advertisement to the user who rides in the vehicle via a mobile terminal that moves with the vehicle.

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.

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.

An approach for predicting utilization of autonomous vehicles for a specified time range and optimizing the utilization of the autonomous vehicles is disclosed. The approach leverages machine learning to send targeted advertising to potential passengers. The approach determines which potential passengers will have a high likelihood of accepting a targeted request. Additionally, the approach will further optimize the autonomous vehicles utilization by using multiple autonomous vehicles for a single passenger.

An advertisement system and method capable of providing a high advertisement delivery effect by delivering customized advertisement contents to consumers through an external display of a vehicle based on digital intelligence information sharing, and contributing to the activation of the advertisement market using the outside of a vehicle.

Systems and methods are provided for managing advertisements in a network. According to one implementation, a system includes a processing device and a memory device configured to store a computer program having instructions that, when executed, enable the processing device to perform certain functions. For example, the processing devices may be configured to receive planned advertisement input from a remote user device associated with an advertiser. The planned advertisement input may include textual and/or graphical elements of an ad in electronic form. The planned advertisement input may further include a request for the ad to be displayed on one or more media devices. The processing device may also be configured to store the ad using one or more blockchain technologies to create a secured ad and then distribute the secured ad to the one or more media devices based on the request.

An information processing apparatus is provided with a controller including at least one processor. The controller is configured to execute obtaining a consent to advertisement viewing from a user using a transportation system, presenting an advertisement within a period of time during which the user is using the transportation system, and providing a monetary merit to the user.

An apparatus is provided for generating rich media ad units. The apparatus may be configured to receive an inventory feed and a feature feed. The inventory feed may include a plurality of product identifiers. The feature feed may include a plurality of features, each of the plurality of features being associated with at least one of the plurality of product identifiers. The apparatus may select, based on consumer metrics, a product identifier from the plurality of product identifiers. The apparatus may generate, based on the consumer metrics, a feature subset including a subset of the plurality of features associated with the product identifier. The apparatus may generate, based on the feature subset, a rich media ad unit. Related methods and apparatuses are also provided.

A computer-implemented method of facilitating context-aware, vehicle-based mobile banking includes authenticating, by a processor of a financial institution computing system, a user of a vehicle with a financial account of the user. The vehicle is associated with the financial account and the user is physically located within the vehicle. Operating data relating to the vehicle is received. A context is determined based on the operating data. A task is selected based on the context. The task is to be performed by the user within the vehicle. The task relates to the financial account of the user. Performance of the task by the user is facilitated.