A system for analyzing the environment of a vehicle i) receives a plurality of data from at least one sensor associated with a vehicle, such that the plurality of data includes at least one environmental condition at a location; (ii) analyzes the plurality of data to determine the at least one environmental condition at the location; (iii) determines a condition of a building at the location based upon the at least one environmental condition; (iv) determines an insurance product for the building based upon the determined condition associated with the building; and (v) generates an insurance quote for the insurance product. As a result, the speed and accuracy of insurance providers learning about potential clients and the conditions of the potential client's property and needs is increased.

A system configured to be coupled with a participant of an activity. The system comprises: a participant activity monitoring unit configured for monitoring a performance of the activity by the participant; an activity information module configured for storing performance information corresponding to the activity; and a participant performance correlator configured for delivering comparative performance data based on the monitored performance of the activity by the participant and the stored performance information.

An autonomous robot vehicle in accordance with aspects of the present disclosure includes a land vehicle conveyance system, a sensor system configured to capture information including surrounding environment information and/or vehicle subsystem information, a communication system configured to communicate with a remote human operator management system, at least one processor, and a memory storing instructions. The instructions, when executed by the processor(s), cause the autonomous robot land vehicle to, autonomously, determine based on the captured information to request a remote human operator, and communicate a request to the remote human operator management system for a remote human operator to assume control of the land vehicle conveyance system, where the request includes at least a portion of the captured information.

This disclosure relates to a system configured to present in-vehicle content based on characterization of products. The system may be coupled to a vehicle. The system may include one or more physical processors. The processor(s) may obtain user information specifying individual sets of products interacted with by individual users prior to a ride in the vehicle. The processor(s) may identify in-vehicle content specific to individual subsets of products having one or more values of one or more product attributes in common. The processor(s) may control one or more vehicle components coupled to the vehicle to provide the in-vehicle content.

A method, system and computer program product for presenting content (e.g., advertisements) to vehicle occupants. An image of the occupants of the vehicle is obtained. The vehicle occupants, such as the driver, are then identified from the image. After obtaining the driving history of the driver, which includes any information that indicates a risk posed to the driver in not paying attention to the road, a risk degree of the driver getting into an accident from viewing content on the electronic billboard is assessed. A watch ability of the vehicle occupants to watch content is calculated, based, at least in part, on the driver's risk degree. If the value of the watch ability exceeds a threshold value, then the content preferences of the vehicle occupants are obtained which are used to determine the contents to be presented on the electronic billboard which are targeted to the vehicle occupants.

An autonomous vehicle includes a display interface. The vehicle includes a controller configured to execute commands to transport a passenger from a pickup location to a destination and display a brand name or logo associated with a brand identifier during at least a portion of the transport. The execution is responsive to a request for transportation service including the brand identifier, the pickup location, and the destination.

A system for analyzing the environment of a vehicle i) receives a plurality of data from at least one sensor associated with a vehicle, such that the plurality of data includes at least one environmental condition at a location; (ii) analyzes the plurality of data to determine the at least one environmental condition at the location; (iii) determines a condition of a building at the location based upon the at least one environmental condition; (iv) determines an insurance product for the building based upon the determined condition associated with the building; and (v) generates an insurance quote for the insurance product. As a result, the speed and accuracy of insurance providers learning about potential clients and the conditions of the potential client's property and needs is increased.

A method for enabling a value-added transaction involving a vehicle and a merchant via a mobile device is disclosed. Merchant information may be broadcasted from a merchant terminal. Vehicle specific data may be received at the merchant terminal identifying the vehicle in response to the broadcasted merchant information. Transaction data may be provided to the mobile device to initiate an intended transaction. Payment data may be received from the mobile device at the merchant terminal in response to the provided transaction data. Before completing the intended transaction, a value-added transaction offer may be provided to the mobile device. In response to the provided value-added transaction offer, an acceptance of the value-added transaction offer may be received. The intended transaction and the value-added transaction offer may be completed as a single transaction.

A method for reporting in vehicle media consumption and user interaction with a vehicle. The method including receiving raw data of media and vehicle usage of a vehicle by a platform device, the platform device including storage, operation controls, a microprocessor, a memory component, I/O inputs and outputs and an operating system installed and running thereon; processing the raw data to remove at least one obfuscation function to anonymize at least a portion of a personally identifiable information; and producing a report with the processed raw data relating to the user interaction vehicle and the media content.

Video of one or more vehicle occupants is obtained and analyzed. Heart rate information is determined from the video. The heart rate information is used in cognitive state analysis. The heart rate information and resulting cognitive state analysis are correlated to stimuli, such as digital media, which is consumed or with which a vehicle occupant interacts. The heart rate information is used to infer cognitive states. The inferred cognitive states are used to output a mood measurement. The cognitive states are used to modify the behavior of a vehicle. The vehicle is an autonomous or semi-autonomous vehicle. Training is employed in the analysis. Machine learning is engaged to facilitate the training. Near-infrared image processing is used to obtain the video. The analysis is augmented by audio information obtained from the vehicle occupant.