Abstract: A method and computer program product for automatically selecting songs to be played within a vehicle without user intervention during operation of the vehicle based on an environment or perceived mood of the user. A software application captures data encompassing (i) vehicle-related information including current vehicle speed, and (ii) user-related information including music preferences of the user of the vehicle. The software application transmits the data to an artificial intelligence (AI) program. The software application queries the AI program for a suggested song based on the data. The software application receives the suggested song from the AI program. The software application instructs a music player program to play the suggested song over a speaker system of the vehicle.

Abstract: A computer-implemented method and computer program product for simultaneously controlling vehicle functions and mobile device functions. The method includes the steps of: (a) connecting a mobile software application to an in-vehicle network; (b) configuring, in the mobile software application, a plurality of user-configurable functions, at least one first user-configurable function being associated with at least one vehicle function of a plurality of vehicle functions and at least one second user-configurable function being associated with an operation external to the vehicle that is performed by the mobile software application; and (c) controlling each of the at least one first and second user-configurable functions simultaneously with a hard key arranged within a vehicle interior. The computer program is configured to perform the aforementioned steps.

Abstract: A method and computer program product for automatically selecting songs to be played within a vehicle without user intervention during operation of the vehicle based on an environment or perceived mood of the user. A software application captures data encompassing (i) vehicle-related information including current vehicle speed, and (ii) user-related information including music preferences of the user of the vehicle. The software application transmits the data to an artificial intelligence (AI) program. The software application queries the AI program for a suggested song based on the data. The software application receives the suggested song from the AI program. The software application instructs a music player program to play the suggested song over a speaker system of the vehicle.

Abstract: A computer-implemented method and computer program product for simultaneously controlling vehicle functions and mobile device functions. The method includes the steps of: (a) connecting a mobile software application to an in-vehicle network; (b) configuring, in the mobile software application, a plurality of user-configurable functions, at least one first user-configurable function being associated with at least one vehicle function of a plurality of vehicle functions and at least one second user-configurable function being associated with an operation external to the vehicle that is performed by the mobile software application; and (c) controlling each of the at least one first and second user-configurable functions simultaneously with a hard key arranged within a vehicle interior. The computer program is configured to perform the aforementioned steps.

Abstract: A computer-implemented method and computer program product for capturing sounds caused by a user of a vehicle and transmitting corresponding sounds over speakers of the vehicle. The method includes the steps of: (a) connecting a software application to a vehicle network; (b) capturing a user-generated sound caused by an impact of the user on a component of a vehicle interior; (c) analyzing the captured user-generated sound and associating the user-generated sound with a recorded drum sound; and (d) playing the recorded drum sound over the speakers of the vehicle. The computer program is configured to perform the aforementioned steps.

Abstract: A computer-implemented method and computer program product for analyzing sounds within a vehicle interior and controlling ambient light system within the vehicle interior. The method includes the steps of: (a) connecting a software application to a vehicle network; (b) capturing, by the software application, at least one sound within the vehicle interior; (c) analyzing, by the software application, the at least one sound captured within the vehicle interior; and (d) changing an appearance of at least one portion of the ambient light system within the vehicle interior based on the captured at least one sound within the vehicle interior. The computer program is configured to perform the aforementioned steps.

Abstract: A computer-implemented method and computer program product for presenting information about a vehicle function to a user of a vehicle and enabling control of the vehicle function. The method includes the steps of: (a) securely connecting a software application to a vehicle network; (b) selecting a vehicle function from a plurality of vehicle functions; (c) presenting to the user the information about the selected vehicle function; and (d) controlling the selected vehicle function based on preferences of the user. The computer program is configured to perform the aforementioned steps.

Abstract: A computer-implemented method and computer program product for directing a driver of an electric vehicle to a point of interest and a charging station in close proximity to the point of interest. The method includes the steps of: (a) receiving from a user a requested activity of interest; (b) identifying one or more points of interest matching the requested activity of interest and that are within a pre-determined point of interest range from the electric vehicle; (c) identifying charging stations within a pre-determined station distance from each of the identified points of interest; and (d) presenting to the user the identified points of interest having an identified charging station within the pre-determined station distance. The computer program is configured to perform the aforementioned steps.

Abstract: A computer-implemented method and computer program product for presenting information about a point of interest to a user of a vehicle. The method includes the steps of: (a) determining a current location of the vehicle; (b) identifying one or more points of interest located within a pre-determined range from the current location of the vehicle; (c) using an Artificial Intelligence (“AI”) model, dynamically gathering and aggregating information about the identified points of interest; and (d) presenting to the user the information about the identified points of interest within the pre-determined range from the current location of the vehicle. The computer program is configured to perform the aforementioned steps.

Abstract: A computer-implemented method and computer program for executing vehicle data sharing between vehicles. The method includes the steps of transmitting location data to a first network identifying a location of a first vehicle on a roadway; receiving data from the first network indicating that a second vehicle is within a predetermined proximity of the first vehicle; and transmitting data from the first vehicle to the second vehicle via a second network. The first network may be a cellular network, and the second network may be a Wi-Fi network. Also described is a method for executing a cryptocurrency transaction between the vehicles including the steps of receiving, and then comparing, respective vehicle performance related data from the first and second vehicles; and debiting a wallet of one of the two vehicles and crediting the wallet of the other vehicle of the vehicles as a function of the comparison.

Abstract: A computer-implemented method and computer program product for directing a driver of an electric vehicle to a point of interest and a charging station in close proximity to the point of interest. The method includes the steps of: (a) receiving from a user a requested activity of interest; (b) identifying one or more points of interest matching the requested activity of interest and that are within a pre-determined point of interest range from the electric vehicle; (c) identifying charging stations within a pre-determined station distance from each of the identified points of interest; and (d) presenting to the user the identified points of interest having an identified charging station within the pre-determined station distance. The computer program is configured to perform the aforementioned steps.

Abstract: A method includes capturing video data from a camera over a period of time while capturing motion data from a detector and biometric data from another detector over that same period of time. Then, the method additionally includes selecting a subset of the video data captured during the period of time, based on a corresponding subset of the motion data and/or biometric data. The method then proscribes storing this selected subset of video data in memory.

Abstract: A method includes capturing video data from a camera over a period of time while capturing motion data from a detector over that same period of time. Then, the method additionally includes selecting a subset of the video data captured during the period of time, based on a corresponding subset of the motion data. The method then proscribes storing this selected subset of video data in memory.

Abstract: A method includes capturing video data from a camera over a period of time while capturing motion data from a detector and biometric data from another detector over that same period of time. Then, the method additionally includes selecting a subset of the video data captured during the period of time, based on a corresponding subset of the motion data and/or biometric data. The method then proscribes storing this selected subset of video data in memory.

Abstract: A method includes capturing video data from a camera over a period of time while capturing motion data from a detector over that same period of time. Then, the method additionally includes selecting a subset of the video data captured during the period of time, based on a corresponding subset of the motion data. The method then proscribes storing this selected subset of video data in memory.