Abstract: Among other things, information generated by sensors of a mobile phone and indicative of motion of the mobile phone and state information indicative of a state of operation of the mobile phone are monitored. Based on the monitoring, distraction by a user of the mobile phone who is a driver of a vehicle is determined.

Abstract: A system can include a mobile device that includes one or more sensors for sensing information during a trip in a vehicle. A hardware processor can execute operations including receiving telematics information produced by one or more sensors during a trip in a vehicle; processing, by a hardware processor, the received telematics information to identify vehicle movement information for the vehicle during the trip; determining, by the hardware processor, a probability that an advanced driver assistance system (ADAS) feature of the vehicle was operational during the trip based, at least in part, on the vehicle movement information for the vehicle during the trip; and determining, by the hardware processor, a risk score for the vehicle or a driver of the vehicle based, at least in part, on the probability that the ADAS feature was operational.

Abstract: Among other things, information generated by sensors of a mobile phone and indicative of motion of the mobile phone and state information indicative of a state of operation of the mobile phone are monitored. Based on the monitoring, distraction by a user of the mobile phone who is a driver of a vehicle is determined.

Abstract: Among other things, information generated by sensors of a mobile phone and indicative of motion of the mobile phone and state information indicative of a state of operation of the mobile phone are monitored. Based on the monitoring, distraction by a user of the mobile phone who is a driver of a vehicle is determined.

Abstract: Data processing techniques and systems for processing telematics data associated with a vehicle, such as an automobile, to classify how the vehicle is being operated by a driver. The telematics data can include the use of image data captured by a camera of the vehicle. The image data is processed in conjunction with vehicular telematics data such as position, speed, and acceleration data of the vehicle obtained from, for example, smartphone sensors. The image data is processed and used by a processing system to provide a context for the telematics data. The image data and the telematics data are classified by the processing system to identify driving behavior of the driver, determine driving maneuvers that have occurred, scoring driving quality of the driver, or a combination of them.

Abstract: Data processing techniques and systems for processing telematics data associated with a vehicle, such as an automobile, to classify how the vehicle is being operated by a driver. The telematics data can include the use of image data captured by a camera of the vehicle. The image data is processed in conjunction with vehicular telematics data such as position, speed, and acceleration data of the vehicle obtained from, for example, smartphone sensors. The image data is processed and used by a processing system to provide a context for the telematics data. The image data and the telematics data are classified by the processing system to identify driving behavior of the driver, determine driving maneuvers that have occurred, scoring driving quality of the driver, or a combination of them.

Abstract: Personal safety concerns for users of vehicles can be indicated, identified, communicated, analyzed, or acted on to make the users and other participants in the technology aware of the safety concerns and to reduce the risks to the users associated with the safety concerns. Personal safety concerns can be recognized based on safety concern triggers. Once recognized, the personal safety concerns can be reported to the users and other participants in the technology by safety alerts. The safety alert can prompt one or more telematics devices at the vehicle to capture, store, or transmit telematics data, including, for example, audio, image, or video data or combinations of them. The captured telematics data can be used to verify the safety alert and the safety concern and present the captured data to a third party participant to enable the third party participant to determine an appropriate response or action.

Abstract: Personal safety concerns for users of vehicles can be indicated, identified, communicated, analyzed, or acted on to make the users and other participants in the technology aware of the safety concerns and to reduce the risks to the users associated with the safety concerns. Personal safety concerns can be recognized based on safety concern triggers. Once recognized, the personal safety concerns can be reported to the users and other participants in the technology by safety alerts. The safety alert can prompt one or more telematics devices at the vehicle to capture, store, or transmit telematics data, including, for example, audio, image, or video data or combinations of them. The captured telematics data can be used to verify the safety alert and the safety concern and present the captured data to a third party participant to enable the third party participant to determine an appropriate response or action.

Abstract: Among other things, instructions stored in a tangible storage medium are executable by a processor to receive data representing an attitude of a vehicle being driven relative to a frame of reference and process the received attitude data to determine a risk factor in the driving of the vehicle.

Abstract: Personal safety concerns for users of vehicles can be indicated, identified, communicated, analyzed, or acted on to make the users and other participants in the technology aware of the safety concerns and to reduce the risks to the users associated with the safety concerns. Personal safety concerns can be recognized based on safety concern triggers. Once recognized, the personal safety concerns can be reported to the users and other participants in the technology by safety alerts. The safety alert can prompt one or more telematics devices at the vehicle to capture, store, or transmit telematics data, including, for example, audio, image, or video data or combinations of them. The captured telematics data can be used to verify the safety alert and the safety concern and present the captured data to a third party participant to enable the third party participant to determine an appropriate response or action.

Abstract: Among other things, information generated by sensors of a mobile phone and indicative of motion of the mobile phone and state information indicative of a state of operation of the mobile phone are monitored. Based on the monitoring, distraction by a user of the mobile phone who is a driver of a vehicle is determined.

Abstract: Personal safety concerns for users of vehicles can be indicated, identified, communicated, analyzed, or acted on to make the users and other participants in the technology aware of the safety concerns and to reduce the risks to the users associated with the safety concerns. Personal safety concerns can be recognized based on safety concern triggers. Once recognized, the personal safety concerns can be reported to the users and other participants in the technology by safety alerts. The safety alert can prompt one or more telematics devices at the vehicle to capture, store, or transmit telematics data, including, for example, audio, image, or video data or combinations of them. The captured telematics data can be used to verify the safety alert and the safety concern and present the captured data to a third party participant to enable the third party participant to determine an appropriate response or action.

Abstract: Personal safety concerns for users of vehicles can be indicated, identified, communicated, analyzed, or acted on to make the users and other participants in the technology aware of the safety concerns and to reduce the risks to the users associated with the safety concerns. Personal safety concerns can be recognized based on safety concern triggers. Once recognized, the personal safety concerns can be reported to the users and other participants in the technology by safety alerts. The safety alert can prompt one or more telematics devices at the vehicle to capture, store, or transmit telematics data, including, for example, audio, image, or video data or combinations of them. The captured telematics data can be used to verify the safety alert and the safety concern and present the captured data to a third party participant to enable the third party participant to determine an appropriate response or action.

Abstract: Among other things, information generated by sensors of a mobile phone and indicative of motion of the mobile phone and state information indicative of a state of operation of the mobile phone are monitored. Based on the monitoring, distraction by a user of the mobile phone who is a driver of a vehicle is determined.

Abstract: Among other things, information generated by sensors of a mobile phone and indicative of motion of the mobile phone and state information indicative of a state of operation of the mobile phone are monitored. Based on the monitoring, distraction by a user of the mobile phone who is a driver of a vehicle is determined.

Abstract: Data processing techniques and systems for processing telematics data associated with a vehicle, such as an automobile, to classify how the vehicle is being operated by a driver. The telematics data can include the use of image data captured by a camera of the vehicle. The image data is processed in conjunction with vehicular telematics data such as position, speed, and acceleration data of the vehicle obtained from, for example, smartphone sensors. The image data is processed and used by a processing system to provide a context for the telematics data. The image data and the telematics data are classified by the processing system to identify driving behavior of the driver, determine driving maneuvers that have occurred, scoring driving quality of the driver, or a combination of them.

Abstract: A lock button of a mobile device with an iOS operating system, to be used by a user to effect an action when the mobile device is in the locked state, is enabled for other functions by executing an application on the mobile device. When the mobile device is in a locked state, the application is in a dormant mode. The OS of the mobile device monitors for a change of location of the device and/or for the receipt of a short range wireless data signal. Upon detecting either, the operating system communicates this to the application which in response enters a background mode and monitors the on/off state of a screen of the mobile device. If the screen state changes at least twice within a predetermined period of time, the application effects an action, such as sending a panic signal.

Abstract: A lock button of a mobile device with an iOS operating system, to be used by a user to effect an action when the mobile device is in the locked state, is enabled for other functions by executing an application on the mobile device. When the mobile device is in a locked state, the application is in a dormant mode. The OS of the mobile device monitors for a change of location of the device and/or for the receipt of a short range wireless data signal. Upon detecting either, the operating system communicates this to the application which in response enters a background mode and monitors the on/off state of a screen of the mobile device. If the screen state changes at least twice within a predetermined period of time, the application effects an action, such as sending a panic signal.

Abstract: Accurate longitudinal acceleration, lateral acceleration (perpendicular to the principal direction of motion, and velocity, is inferred by processing raw data from a commodity three-axis accelerometer that may be oriented arbitrarily in a moving vehicle (or carried by a moving user), and whose orientation and position may change arbitrarily during the motion. The approach is applicable to a range of applications, including insurance telematics, driver behavior and risk assessment, and road surface quality assessment.

Abstract: An approach to telematics using mobile devices provides battery-efficient trajectory and mileage inference from inaccurate and intermittent location data. Accurate trajectories of how users or vehicles move in the physical world are formed by processing raw position estimates obtained from noisy, inaccurate, and error-prone position sensors on mobile devices, where the position data may also arrive intermittently with long time gaps. The trajectory is formed using the process of map matching, which determines the trajectory on a map that best explains the sequence of position observations.