Abstract: An example operation includes determining a driving style of a vehicle, wherein the driving style is associated with a greatest amount of carbon emissions over a period; and notifying a device associated with the vehicle, wherein the notifying includes a modification of the driving style, an environmental benefit, and a value, when an amount of carbon emissions for the modification of the driving style falls below the greatest amount in a future period equal to the period.

Abstract: System, methods, and other embodiments described herein relate to adapting vehicle access by detecting a person carrying an object. In one embodiment, a method includes detecting a person near a vehicle for gaining access. The method also includes scanning the person for an object using a radar of the vehicle, wherein information from the radar indicates densities of the person and the object. Upon detecting the object using the densities, the method also includes adapting the access to a compartment of the vehicle.

Abstract: An example operation includes one or more of receiving an utterance from a user which is associated with a task, determining, via a machine learning model, that not enough information is available to determine an action based on the utterance, initiating, via a virtual assistant, a dialog with the user and receiving one or more additional utterances from the user via the input device, determining, via the machine learning model, that enough information is available for accomplishing the action based on the one or more additional utterances, determining, via the machine learning model, a task to be performed based on the utterance and the one or more additional utterances, and transmitting an instruction to a system to perform the task.

Abstract: An example operation includes one or more of receiving utterances from a user via an input device, identifying a plurality of sentences spoken by the user from the utterances, converting the utterances into a sequence of tokens and storing the sequence of tokens within a data structure, wherein the storing comprises adding padding tokens to the data structure in between the sequence of tokens to normalize a structure among the plurality of sentences within the data structure, executing a machine learning model on the data structure with the added padding tokens to determine to make a prediction, removing the padding tokens from the data structure, and executing a natural language processing (NLP) model on the sequence of tokens within the data structure with the padding tokens removed to determine a response to the user.

Abstract: An example operation includes one or more of determining a characteristic of an occupant in a transport and a current driving environment of the transport, wherein the characteristic includes a position of the occupant, determining that the current driving environment will lead to a collision of the transport, and based on a predicted result of the collision, sending a predicted state of the occupant based on the position, to an emergency service node.

Abstract: An example operation includes one or more of determining a number of micromobility transports in an area, determining a speed and a direction of the micromobility transports, notifying a vehicle approaching the area when the number of the micromobility transports is above a threshold and the speed and the direction will cause an event with the vehicle, and providing a position and a speed to the vehicle to navigate the event.

Abstract: An example operation includes comparing a first set of driving styles for a vehicle to a second set of driving styles for one or more similar vehicles in a geographic area over a period, wherein the first set of driving styles affects a carbon footprint of the vehicle and the second set of driving styles affects another carbon footprint of the one or more similar vehicles; determining a carbon credit when the carbon footprint of the vehicle is lower than the another carbon footprint of the one or more similar vehicles, by a threshold, based on the comparing; and applying the carbon credit to the vehicle.

Abstract: An example operation includes one or more of determining a maneuvering of a vehicle before an idling of the vehicle, determining a delta of a sound of the idling and a sound of the vehicle moving, and determining the vehicle is in an enclosed area, based on the maneuvering and the delta when a time of the idling is greater than a threshold.

Abstract: A system for controlling operation of a vehicle includes a millimeter-wave radar sensor, a processor, and a memory communicably coupled to the processor. The memory stores a sensor control module configured to automatically control operation of the radar sensor to perform at least one radar scan of at least a portion of an interior of the vehicle. The sensor control module is also configured to determine, using information acquired by the at least one radar scan of the vehicle interior, at least one characteristic of a child car seat positioned in the interior. The sensor control module is also configured to compare the at least one determined characteristic of the child car seat with child car seat comparison information and, responsive to the comparison of the at least one determined characteristic with the child car seat comparison information, control an operation of the vehicle.

Abstract: Systems and methods for presenting vehicle status information using a virtual vehicle in a virtual environment are disclosed. In one embodiment, a method of a method for presenting vehicle status information includes receiving vehicle data of a physical vehicle from one or more sources, wherein the vehicle data corresponds with one or more components of the physical vehicle, and causing for display a virtual vehicle within a virtual environment, wherein the virtual vehicle corresponds to the physical vehicle and an appearance of the virtual vehicle corresponds with the vehicle data of the one or more components of the physical vehicle.

Abstract: Systems and methods for generating sound tokens, and methods for operating a vehicle are disclosed. In one embodiment, a method of generating a sound token includes recording a sound of an object, generating a sound profile of the object, and storing the sound profile as a non-fungible token on a blockchain.

Abstract: An example operation includes one or more of determining a vehicle in a group of vehicles that has an unobstructed view of an area ahead of the group, collecting data from sensors on the vehicle, sending the data to one or more other vehicles in the group of vehicles, and providing the unobstructed view of the area ahead of the group on a display of the one or more other vehicles.

Abstract: An example operation includes one or more of determining a movement of an occupant in a vehicle, determining an atypical health condition based on the movement and a position of the occupant in the vehicle, determining if the occupant is breathing, based on an analysis performed by the vehicle, verifying the atypical health condition by the vehicle, based on received data from a device proximate the occupant, and sending a notification to an entity, based on the verification.

Abstract: An example operation includes one or more of dividing a roadway into a plurality of segments, determining an effect of an action of a vehicle in a segment of the plurality of segments, based on other vehicles in at least one other segment of the plurality of segments, and modifying functionality of the vehicle, based on the determined effect.

Abstract: An example operation includes one or more of determining a first carbon footprint of a first mode of transportation and a second carbon footprint of a second mode of transportation, where the first mode of transportation is a primary mode of transportation and the second carbon footprint is less than the first carbon footprint, responsive to the first carbon footprint being above a threshold, calculating a period of time the second mode of transportation is utilized to negate an amount above the threshold, and sending a notification to use the second mode of transportation for the period of time.

Abstract: An example operation includes detecting a vehicle is running inside an enclosed area; starting a timer when a person exits the vehicle and the enclosed area; and responsive to an expiration of the timer, ceasing the running of the vehicle.

Abstract: Systems and methods for generating vehicle profiles and rendering and operating a virtual world are disclosed. In one embodiment, a method of generating a vehicle profile for operating a virtual vehicle in a virtual environment includes receiving vehicle sensor data from at least one sensor corresponding to a physical vehicle, determining at least one vehicle performance attribute from the vehicle sensor data, and storing the at least one vehicle performance attribute in the vehicle profile. The vehicle profile is operable to be used to render the virtual vehicle in the virtual environment based at least in part on the vehicle profile, and to operate the virtual vehicle in the virtual environment based at least in part on the vehicle profile.

Abstract: Systems and methods for dynamically generating artwork from vehicle sensor data are disclosed. In one embodiment, a method of generating an artwork includes receiving vehicle sensor data from a vehicle, inputting the vehicle sensor data into a trained model, and generating, by the trained model, the artwork based at least in part on the vehicle sensor data.

Abstract: Systems, methods, and other embodiments described herein relate to using vehicles as mobile observation platforms. In one embodiment, a method includes, in response to receiving, in a selected vehicle that is equipped with at least one camera, a request for locating a target, identifying search parameters from the request that specify the target that is to be identified and a time window for analyzing visual data from the camera. The method includes analyzing the visual data according to the search parameters to identify the target by using at least a machine vision model executing on a processor within the selected vehicle. The visual data includes at least camera data that is currently being acquired. The method includes communicating detection results about whether the visual data includes the target to a remote device from which the request originated.

Abstract: A method for monitoring driving behavior of a vehicle includes obtaining first information including values related to driving operations of a vehicle based on sensors and obtaining a geographical location or a vehicle type of the vehicle. The method also includes extracting second information including values related to operations of vehicles associated with the vehicle type of the vehicle or the geographical location of the vehicle and determining whether there is a difference between the first information and the second information. The method further includes instructing the vehicle to adjust driving operations in response to determining that there is the difference between the first information and the second information.