Abstract: Methods and systems for validating proper fastening of vehicle seats via an application executing on a mobile computing device. The method and systems may include: obtain input data via an input interface of the mobile computing device, the input data including one or more of vehicle data, vehicle seat data, or child data; obtain underlay layer data generated by an image sensor of the mobile computing device; generate overlay layer data based upon the input data and/or the underlay layer data, the overlay layer data including an indication associated with proper fastening of the vehicle seat; corelate the overlay layer data with the underlay layer data; the one or more processors to create an AR display based upon the correlation; and/or present the AR display via an AR interface of the mobile computing device.

Abstract: Methods and systems for monitoring and analyzing vehicle seats, vehicle seat installation, and/or vehicle seat operation. The systems and methods may include (1) obtaining, by one or more processors, image data of a vehicle seat located within a vehicle, wherein the image data may include one or more connecting points of the vehicle seat to the vehicle; (2) inputting, by the one or more processors, the image data into a machine vision model that is trained: (a) using historical image data of vehicle seats within vehicles, (b) to learn a relationship between extracted features of the historical image data and a properness of an installation of a vehicle seat, and/or (c) to output a determination of a properness of an installation of a vehicle seat in response to detecting input image data; and/or (3) presenting, by the one or more processors, an indication of the output of the machine vision model.

Abstract: Systems and methods for simulating a vehicle seat in a vehicle using augmented reality. The systems and methods overlay a virtual vehicle seat model associated with a physical vehicle seat onto a physical vehicle via a display of the viewer device to generate a virtual configuration of the virtual vehicle seat model in the physical vehicle.

Abstract: Systems and methods for automatically evaluating a vehicle seat replacement after a vehicle collision. Upon detecting a vehicle collision is detected, obtaining vehicle seat condition data from vehicle seat sensors and vehicle condition data from vehicle sensors. Analyzing the vehicle seat condition data and/or the vehicle condition data to detect one or more collision conditions indicating (i) the vehicle is not drivable, (ii) a vehicle door proximate the vehicle seat is damaged, (iii) an airbag of the vehicle is deployed, and/or (iv) the vehicle seat is visibly damaged. In response to detecting the one or more collision conditions, generating a recommendation to replace the vehicle seat and providing the recommendation to a user device.

Abstract: Methods and systems for monitoring and analyzing vehicle seats, vehicle seat installation, and/or vehicle seat operation. The systems and methods may include (1) obtaining, by one or more processors, image data of a vehicle seat located within a vehicle, wherein the image data may include one or more connecting points of the vehicle seat to the vehicle; (2) inputting, by the one or more processors, the image data into a machine vision model that is trained: (a) using historical image data of vehicle seats within vehicles, (b) to learn a relationship between extracted features of the historical image data and a properness of an installation of a vehicle seat, and/or (c) to output a determination of a properness of an installation of a vehicle seat in response to detecting input image data; and/or (3) presenting, by the one or more processors, an indication of the output of the machine vision model.

Abstract: Methods and systems for maintaining and classifying data related to vehicle seats stored on a blockchain. The systems and methods may include (1) detecting one or more sets of data relating to vehicle seats; (2) executing a data maintenance smart contact to classify the sets of data as being publicly accessible or proprietary; (3) based upon the classification assigned by the data maintenance smart contract, adding the one or more sets of data to a data repository accessible via a blockchain; (4) detecting a request to access a requested set of proprietary data from a requestor; (5) executing a security smart contract to determine whether the requestor is authorized to access the requested set of proprietary data; and/or (6) enforcing the determination of the security smart contract with respect to the request.

Abstract: Mobile communications base stations, such as 5G wireless communications base stations operating at millimeter wave (mmW) frequencies, may have limited spatial coverage due to issues such as limited line of sight or attenuation from foliage or structures. Line of sight and attenuation can be modeled to recommend placement of repeaters for expanded spatial coverage. The repeaters can include open-air repeaters and window repeaters.

Abstract: According to certain aspects, a computer-implemented method for operating an autonomous or semi-autonomous vehicle may be provided. With the customer's permission, an identity of a vehicle operator may be identified and a vehicle operator profile may be retrieved. Operating data regarding autonomous operation features operating the vehicle may be received from vehicle-mounted sensors. When a request to disable an autonomous feature is received, a risk level for the autonomous feature is determined and compared with a driver behavior setting for the autonomous feature stored in the vehicle operator profile. Based upon the risk level comparison, the autonomous vehicle retains control of vehicle or the autonomous feature is disengaged depending upon which is the safer driver—the autonomous vehicle or the vehicle human occupant. As a result, unsafe disengagement of self-driving functionality for autonomous vehicles may be alleviated.

Abstract: An electronic device may comprise a printed circuit board (PCB) and a power source and processing circuitry mounted to the PCB. The PCB comprises one or more power planes and a plurality of power vias electrically connected to the power planes. The power sources are electrically connected to the power planes. The processing circuitry is electrically connected to the plurality of power vias through a plurality of interconnects. Respective diameters of the plurality of power vias vary based on location.

Abstract: Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, an identity of a vehicle operator may be determined and a vehicle operator profile and/or operating data regarding autonomous operation features of the vehicle may be received after the vehicle operator opts into a rewards program and agrees to share their data. Autonomous operation and vehicle operator risk levels associated with operation of the autonomous or semi-autonomous vehicle may be determined. Based upon the risk levels and/or comparison thereof, one or more autonomous operation features may he disengaged. A preparedness level of the vehicle operator to assume or reassume control of operating the vehicle is determined prior to disengagement. If satisfactory, an alert is presented to the vehicle operator prior to disengagement of the autonomous operation features.

Abstract: Systems and methods for determining the performance of a driver of a vehicle based on changes, over time, in the context and environment in which the vehicle operates, and any resultant driver behavior are disclosed. A set of driver response data is created from based on an analysis of time-series data indicative of the driver's operation of the vehicle in conjunction with time-series data indicative of changes in the vehicle's context/environment. The driver response data indicates the types and magnitudes of the driver's responses to various changes in the vehicle's operating context/environment and the driver's time-to-respond for each of the responses. That is, the driver response data indicates how a driver compensated his or her behavior (if at all) in response to different changes in the vehicle's context and/or environment. The driver response data may be compared to one or more thresholds to determine the driver's performance.

Abstract: Vehicles may have autonomous capabilities that permit the vehicle to navigate according to varying levels of participation by a human operator. A human operator may be associated with a driving capability profile and the environment surrounding a vehicle may be associated with an environmental risk profile. A vehicle, or another party in communication with a vehicle, may determine whether, based on the human operator's driving capability profile and the environmental risk profile, it is likely that the vehicle will be navigated more safely if there is a change to the vehicle's autonomous capabilities and a corresponding change to the human operator's driving responsibilities. If it is determined that a change in autonomous vehicle capability is likely to increase safe navigation of the vehicle, an insurer may offer an insurance premium cost reduction if the human operator agrees to the proposed change in autonomous capabilities.

Abstract: Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features arm provided. According to certain aspects, the operating status of the features, the identity of a vehicle operator, risk levels for operation of the vehicle by the vehicle operator, or damage to the vehicle may be determined based upon sensor or other data. According to further aspects, decisions regarding transferring control between the features and the vehicle operator may be made based upon sensor data and information regarding the vehicle operator. Additional aspects may recommend or install updates to the autonomous operation features based upon determined risk levels. Some aspects may include monitoring transportation infrastructure and communicating information about the infrastructure to vehicles.

Abstract: A computer system is used to host a virtual reality universe process in which multiple avatars are independently controlled in response to client input. The host provides coordinated motion information for defining coordinated movement between designated portions of multiple avatars, and an application responsive to detect conditions triggering a coordinated movement sequence between two or more avatars. During coordinated movement, user commands for controlling avatar movement may be in part used normally and in part ignored or otherwise processed to cause the involved avatars to respond in part to respective client input and in part to predefined coordinated movement information. Thus, users may be assisted with executing coordinated movement between multiple avatars.

Abstract: Systems and methods are disclosed for operating an autonomous vehicle based on real-time operating data. The operating data may be data about vehicles, drivers, passengers, as well as relevant environmental conditions and contextual data. In some cases, historical data for the preceding data types may be used. The systems and methods may obtain a set of real-time operating data indicative of one or more behaviors of an autonomous vehicle. One or more operations may be performed on the set of real-time operating data. An instruction to modify a particular vehicle operation may be generated based on output from the operations and the one or more behaviors of the autonomous vehicle, and the instruction to modify the particular vehicle operation may be provided to a particular processor that is on-board the vehicle and that controls the particular vehicle operation, to thereby automatically modify the particular vehicle operation.

Abstract: Systems and methods are provided for dynamically protecting transportable articles in vehicles. A system for dynamically protecting a transportable article in a vehicle may include one or more processors and non-volatile memory storing instructions. The instructions, when executed by the one or more processors, cause the system to determine at least one of a characteristic or a trait of the transportable article; detect, based on sensed data, an emergency condition; select one or more article protection components based on (i) the at least one of the characteristic or the trait of the transportable article, and (ii) the detected emergency condition; and in response to detecting the emergency condition, deploy the selected one or more article protection components to protect the transportable article.

Abstract: A system for 5G radio access networks, that enables smart RF signal repeater devices to perform many of the functions of a 5G base station to extend millimeter wave coverage for 5G communication networks while reducing costs, increasing versatility and optimizing coverage for user devices (UEs). The devices may include outdoor network repeaters and indoor subscriber repeaters, and other mmWave network transmitter devices in a mmWave network. Different types of 5G wireless communication networks may be employed including Open Radio Access Network (O-RAN), and Next Gen Radio Access Network (NG-RAN).

Abstract: A computer-implemented method includes receiving software version data generated by an on-board system of a vehicle via a network, wherein the software version data indicates a version of software executed by the on-board system to control operational parameters of the vehicle. The method also includes determining, based at least upon (i) the software version data and (ii) a known current version of the software, whether a latest software update was installed for the on-board system, setting, based at least upon whether the latest software update was installed for the on-board system, at least a portion of a driver profile associated with the driver, and transmitting the at least the portion of the driver profile to a third party server.

Abstract: In a network of autonomous or semi-autonomous vehicles, an alert may be triggered when one of the vehicles switches from autonomous to manual mode. The alert may be communicated to nearby autonomous vehicles so that drivers of those vehicles may become aware of a potentially unpredictable manual driver nearby. Drivers of autonomous vehicles who may have become disengaged (e.g., sleeping, reading, talking, etc.) during autonomous driving may become re-engaged upon noticing the alert. A re-engaged driver may choose to switch his/her own vehicle from autonomous to manual mode in order to appropriately react to an unpredictable nearby manual driver. In additional or alternative embodiments, the alert may be triggered or intensified when indications of impairment of a nearby driver or malfunction of a nearby vehicle are detected.

Abstract: Systems and methods are described for generating a blockchain-based user profile. In various aspects, one or more blockchain IDs associated with a user is received, where each blockchain ID is associated with a corresponding blockchain. One or more blockchain transactions are identified that are associated with the one or more blockchain IDs, where a trust profile for the user can be generated based on the one or more blockchain transactions. The trust profile can include user information determined from the one or more blockchain transactions.