Abstract: Aspects of the disclosure relate to using ultrasonic or other types of signals to detect a driver in a vehicle. A computing platform may receive ultrasonic sensing data associated with mobile devices in the vehicle from a signal transmitter. Unique identifiers of the mobile devices may be determined. Based on the ultrasonic sensing data and the unique identifier, a relative distance from the signal transmitter to each mobile device in the vehicle may be determined. The computing platform may use a machine learning classifier to determine that a particular occupant is a driver in the vehicle based on the relative distance.

Abstract: Aspects of the disclosure relate to using ultrasonic or other types of signals to determine a distance between a transmitter and one or more mobile devices. The distance may be used to facilitate travel on foot or in a vehicle. One aspect disclosed provides a computing platform that may receive ultrasonic sensing data associated with mobile devices in a vehicle from a signal transmitter. Unique identifiers of the mobile devices may be determined. Based on the ultrasonic sensing data and the unique identifier, a relative distance from the signal transmitter to each mobile device in the vehicle may be determined. The computing platform may use a machine learning classifier to determine that a particular occupant is a driver in the vehicle based on the relative distance.

Abstract: Methods and systems for autonomous driving algorithm evaluation are described herein. A computing device may receive, via telematics sensors associated with a vehicle, telematics data corresponding to one or more trips taken by the vehicle during a period of time. Portions of the telematics data corresponding to use of an autonomous driving algorithm may be determined. One or more performance metrics of the autonomous driving algorithm may be determined based on the portions of the telematics data corresponding to use of the autonomous driving algorithm. The one or more performance metrics may be compared to one or more other performance metrics, such as those corresponding to other autonomous driving algorithms. An autonomous vehicle score may be assigned to the autonomous driving algorithm. Based on the autonomous vehicle score, an indication of a second autonomous driving algorithm may be sent to the vehicle.

Abstract: Methods and systems for tracking driver behavior across a variety of vehicles are described herein. One or more first performance metrics which indicate performance of a first vehicle when driven by a user may be determined. One or more second performance metrics indicating performance of a second vehicle when driven by the user may be determined. The first vehicle and the second vehicle may be compared to determine a vehicle difference. The performance metrics may be compared. One or more third performance metrics that predict performance of a third vehicle, different from the first vehicle and the second vehicle, when driven by the user may be determined based on the vehicle difference and the comparison. Whether to provide the user access to the third vehicle may be determined based on the one or more third performance metrics.

Abstract: Aspects of the disclosure relate to using ultrasonic or other types of signals to detect a driver in a vehicle. A computing platform may receive ultrasonic sensing data associated with mobile devices in the vehicle from a signal transmitter. Unique identifiers of the mobile devices may be determined. Based on the ultrasonic sensing data and the unique identifier, a relative distance from the signal transmitter to each mobile device in the vehicle may be determined. The computing platform may use a machine learning classifier to determine that a particular occupant is a driver in the vehicle based on the relative distance.

Abstract: Methods and systems for autonomous driving algorithm evaluation are described herein. A computing device may receive, via telematics sensors associated with a vehicle, telematics data corresponding to one or more trips taken by the vehicle during a period of time. Portions of the telematics data corresponding to use of an autonomous driving algorithm may be determined. One or more performance metrics of the autonomous driving algorithm may be determined based on the portions of the telematics data corresponding to use of the autonomous driving algorithm. The one or more performance metrics may be compared to one or more other performance metrics, such as those corresponding to other autonomous driving algorithms. An autonomous vehicle score may be assigned to the autonomous driving algorithm. Based on the autonomous vehicle score, an indication of a second autonomous driving algorithm may be sent to the vehicle.

Abstract: Methods and systems for tracking driver behavior across a variety of vehicles are described herein. One or more first performance metrics which indicate performance of a first vehicle when driven by a user may be determined. One or more second performance metrics indicating performance of a second vehicle when driven by the user may be determined. The first vehicle and the second vehicle may be compared to determine a vehicle difference. The performance metrics may be compared. One or more third performance metrics that predict performance of a third vehicle, different from the first vehicle and the second vehicle, when driven by the user may be determined based on the vehicle difference and the comparison. Whether to provide the user access to the third vehicle may be determined based on the one or more third performance metrics.

Abstract: Methods and systems for tracking driver behavior across a variety of vehicles are described herein. One or more first performance metrics which indicate performance of a first vehicle when driven by a user may be determined. One or more second performance metrics indicating performance of a second vehicle when driven by the user may be determined. The first vehicle and the second vehicle may be compared to determine a vehicle difference. The performance metrics may be compared. One or more third performance metrics that predict performance of a third vehicle, different from the first vehicle and the second vehicle, when driven by the user may be determined based on the vehicle difference and the comparison. Whether to provide the user access to the third vehicle may be determined based on the one or more third performance metrics.

Abstract: Aspects of the disclosure relate to using ultrasonic or other types of signals to detect a driver in a vehicle. A computing platform may receive ultrasonic sensing data associated with mobile devices in the vehicle from a signal transmitter. Unique identifiers of the mobile devices may be determined. Based on the ultrasonic sensing data and the unique identifier, a relative distance from the signal transmitter to each mobile device in the vehicle may be determined. The computing platform may use a machine learning classifier to determine that a particular occupant is a driver in the vehicle based on the relative distance.

Abstract: Aspects of the disclosure relate to detecting crosswalk using high-frequency transmitters. A mobile device may receive an ultrasonic signal indicating a location of the crosswalk from a signal transmitter. The mobile device may monitor a distance to the crosswalk based on the ultrasonic signal. The mobile device may generate an alert that the user is proximately located to the crosswalk after the user is in a predetermined vicinity of the crosswalk. The mobile device may update the alert to indicate a traffic pattern after the user has entered the crosswalk.

Abstract: Aspects of the disclosure relate to computing platforms that utilize improved machine learning techniques to identify vehicle problems and control ancillary computing systems. A computing platform may receive vibration data corresponding to a vehicle component. Using one or more machine learning models and based on the vibration data, the computing platform may identify a vehicle problem corresponding to the vibration data. After identifying the vehicle problem, the computing platform may transmit one or more commands directing the autonomous vehicle control system to autonomously navigate a vehicle to a service facility, where transmitting the one or more commands directing the autonomous vehicle control system to autonomously navigate the vehicle to the service facility causes the autonomous vehicle control system to autonomously navigate the vehicle to the service facility.

Abstract: Methods and systems for tracking driver behavior across a variety of vehicles are described herein. One or more first performance metrics which indicate performance of a first vehicle when driven by a user may be determined. One or more second performance metrics indicating performance of a second vehicle when driven by the user may be determined. The first vehicle and the second vehicle may be compared to determine a vehicle difference. The performance metrics may be compared. One or more third performance metrics that predict performance of a third vehicle, different from the first vehicle and the second vehicle, when driven by the user may be determined based on the vehicle difference and the comparison. Whether to provide the user access to the third vehicle may be determined based on the one or more third performance metrics.

Abstract: Methods and systems for autonomous driving algorithm evaluation are described herein. A computing device may receive, via telematics sensors associated with a vehicle, telematics data corresponding to one or more trips taken by the vehicle during a period of time. Portions of the telematics data corresponding to use of an autonomous driving algorithm may be determined. One or more performance metrics of the autonomous driving algorithm may be determined based on the portions of the telematics data corresponding to use of the autonomous driving algorithm. The one or more performance metrics may be compared to one or more other performance metrics, such as those corresponding to other autonomous driving algorithms. An autonomous vehicle score may be assigned to the autonomous driving algorithm. Based on the autonomous vehicle score, an indication of a second autonomous driving algorithm may be sent to the vehicle.

Abstract: Methods, computer-readable media, software, and apparatuses may assist in determining the value of a vehicle, based on vehicle usage information, sensor data, and/or fault codes generated by the vehicle. The sensor data and/or the fault codes may be compared to a pre-determined grouping, and the vehicle value may be based in part on a cost of a repair associated with the pre-determined grouping.

Abstract: A method of providing information storage by means of Automatic Speech Recognition through a communication device of a vehicle comprises establishing a voice communication between an external source and a user of the vehicle, receiving information from the external source, processing the received information using an Automatic Speech Recognition unit in the vehicle and storing the recognized speech in textual form for future retrieval or use.

Abstract: A method and system for controlling pressure in a vehicle (100) is disclosed. The method includes operating at least one of one or more secondary windows and one or more air vents in the vehicle (100) while a primary window (202) is being operated. The system includes a controller (206) and a device (204). The controller (206) is configured to detect the operation of the primary window in the vehicle. The device is configured to provide a second path to an external environment that is managed by the controller (206).

Abstract: Media devices are connected to a network. Restrictive rights restrict how the media device can process restricted media content on the network. Information indicative of the restrictive rights associated with the network is stored on the network. A request is received to deliver restricted media content to a requested device, which lacks the right to process it. The stored information is used to determine which media device has the restrictive right to process the requested content, and an instruction is sent to that device. The processed content is then delivered from the determined device to the requesting device. A centralized embodiment of the network has a server connected to the media devices. Another embodiment of the network enables the media devices to obtain restricted media content suitable for the restrictive rights of the network from content providers.

Abstract: An apparatus and method for rapidly providing activity on a vehicle network bus includes a node having a bus connection to the vehicle network bus. The node includes a Rapid Response Stack loaded with the predetermined message to respond to any network bus request before the application is up and running. A true stack is loaded with real messages from the application once it is booted up and running on the node, whereupon the application subsequently responds to network bus requests using the true stack instead of the Rapid Response Stack.

Abstract: A system and method for managing content between different client devices in various domains (such as vehicle, home, and person). The system and method includes a user interface, a wireless transceiver, and a controller. The user interface is used to receive an input form a user to change the presentation of the content from a first client device to a second client device. The wireless transceiver is capable of wirelessly transmitting the input from the user through the communication system. The controller is responsive to the input from the user and used to determine a content format for the second device. The controller may also be used for determining whether the second device has a network capability for accessing the content format. Depending on the determinations made by the controller, the controller will transmit a data message to the second device to activate access to the content if the second device has the network capability for accessing the content format.

Abstract: A dispensing system in a vehicle comprises a dispensing device 22 enabled to provide a desired scent or antidote, a gas detection unit 24 enabled to detect undesirable gases and odors, and a controller 20 enabled to provide electrical controls to the dispensing device 22.