Abstract: A Method and System for Tuning the Effect of Vehicle Characteristics on Risk Prediction is disclosed. The system many incorporate many of those driver risk assessment system features previously disclosed by Assignee's Prior Applications. The present system provides a major functional distinction from those prior systems by adding the feature of real-time tuning of the risk assessment/prediction/analysis system in response to ongoing changes in vehicle motion characteristics. Specifically, system monitors the vehicle center of gravity for changes on a real-time basis, and then adjusts the risk prediction/assessment/analysis system responsively. The system executes an initialization feature that implements an initial, or series of initial vehicular motion profiles at the commencement of either a driving trip of the system being powered up.

Abstract: A system for identifying a driver comprises an image capturing device, a processor, and a memory. The image is captured during vehicle operation and of an expected driver location. The processor is configured to detect a face of a driver in the image, determine a set of face data from the image, and identify the driver based at least in part on the set of face data. The memory is coupled to the processor and configured to provide the processor with instructions.

Abstract: A system for passive driver identification comprises an input interface and a processor. The input interface is configured to receive a collection of face data from a vehicle event recorder. The processor is configured to 1) determine a set of face data of the collection of face data that is associated with a trip; 2) determine a first album associated with the trip, wherein the set of face data associated with the trip is similar to face data of other trips in the first album, and wherein the set of face data associated with the trip is dissimilar to face data of a set of trips in a second album; and 3) assign an identifier that associates the trip to the first album.

Abstract: A dynamic uploading protocol comprises an input interface configured to receive a manifest comprising a plurality of events which may be uploaded; wherein the manifest additionally comprises sensor information relating to each of the plurality of events. The system for a dynamic uploading protocol additionally comprises a processor configured to determine whether to upload additional information about each event, wherein determining whether to upload additional information about each event is based at least in part on the sensor information and contextual information. The system for a dynamic uploading protocol additionally comprises an output interface configured to request the additional information. The system for a dynamic uploading protocol additionally comprises a memory coupled to the processor and configured to provide the processor with instructions.

Abstract: A system for receiving a driving event comprises an interface and a processor. An interface is configured to receive a portion of data regarding a driving event. A processor is configured to determine whether more data regarding the driving event should be requested and, in the event that more data regarding the driving event should be requested, request more data regarding the driving event.

Abstract: A system for determining a driver log entry comprises a processor and a memory. The processor is configured to determine a log start time. The processor is configured to determine a driver identity after the log start time. The processor is configured to determine whether a change to the driver identity has occurred based at least in part on a sensor data. In the event that the driver identity has changed, the processor is configured to determine a log stop time and determine a driver log entry using the log start time, the driver identity, and the log stop time.

Abstract: A system for determining driver performance based on vehicle geolocation comprises one or more onboard vehicle sensors, one or more processors, and a memory. The one or more onboard vehicle sensors are configured to detect driving data of a moving vehicle. The one or more processors are configured to determine driver performance based at least in part on the driving data. The driver performance is normalized for a vehicle geolocation. The memory is coupled to the one or more processors and configured to provide the processor with instructions.

Abstract: A dynamic uploading protocol comprises an input interface configured to receive a manifest comprising a plurality of events which may be uploaded; wherein the manifest additionally comprises sensor information relating to each of the plurality of events. The system for a dynamic uploading protocol additionally comprises a processor configured to determine whether to upload additional information about each event, wherein determining whether to upload additional information about each event is based at least in part on the sensor information and contextual information. The system for a dynamic uploading protocol additionally comprises an output interface configured to request the additional information. The system for a dynamic uploading protocol additionally comprises a memory coupled to the processor and configured to provide the processor with instructions.

Abstract: A system for driver identification comprises a processor and a memory. The processor is configured to receive a driving maneuver signature and to determine a driver identification based at least in part on the driving maneuver signature. The memory is coupled to the processor and is configured to provide the processor with instructions.

Abstract: A system for event triggering comprises an interface and a processor. An interface configured to receive a face tracking data and receive a sensor data. The processor configured to determine a degree of drowsiness based at least in part on the face tracking data and the sensor data; in the event that the degree of drowsiness is greater than a first threshold, capture data; and in the event that the degree of drowsiness is greater than a second threshold, provide a warning.

Abstract: A system for managing a camera is comprises an input interface configured to detect a change in state; a processor configured to block transfer of data from an inward facing video camera; and an output interface configured to indicate that transfer of data is blocked.

Abstract: A system for identifying a driver comprises an image capturing device, a processor, and a memory. The image is captured during vehicle operation and of an expected driver location. The processor is configured to detect a face of a driver in the image, determine a set of face data from the image, and identify the driver based at least in part on the set of face data. The memory is coupled to the processor and configured to provide the processor with instructions.

Abstract: A Driver Risk Assessment System and Method Employing Automated Driver Log. The system and method provides robust and reliable event scoring and reporting, while also optimizing data transmission bandwidth. The system includes onboard vehicular driving event detectors that record data related to detected driving events, vehicle condition and/or tasking, roadway environmental conditions, selectively store or transfer data related to said detected driving events. If elected, the onboard vehicular system will “score” a detected driving event, compare the local score to historical values previously stored within the onboard system, and upload selective data or data types if the system concludes that a serious driving event has occurred. The system may respond to independent user requests by transferring select data to said user at a variety of locations and formats.

Abstract: A system for reducing driving risk comprises an event capture device and a processor. The event capture device is to capture a driving event of a vehicle during a driving trip. A processor configured to assign a risk identifier to the driving event, to generate an event score based at least in part on the risk identifier, and to generate a driver score based at least in part on the event score and one or more driver challenge factors.

Abstract: A Driver Risk Assessment System and Method Employing Selectively Automatic Event Scoring. The system and method provides robust and reliable event scoring and reporting, while also optimizing data transmission bandwidth. The system includes onboard vehicular driving event detectors that record data related to detected driving events, selectively store or transfer data related to said detected driving events. If elected, the onboard vehicular system will score a detected driving event, compare the local score to historical values previously stored within the onboard system, and upload selective data or data types to a remote server or user if the system concludes that a serious driving event has occurred. The system may further respond to independent user requests by transferring select data to said user at a variety of locations and formats.

Abstract: A system for triggered request for downloaded information from a vehicle-based monitor comprises a transmitter, a receiver, and a processor. The processor is coupled to the transmitter and the receiver. The processor is configured to determine whether it is desired to receive one or more data from a vehicle-based monitor. In the event that it is desired to receive one or more data from the vehicle-based monitor, the processor is configured to provide an indication that it is desired to receive the one or more data from the vehicle-based monitor. The processor is configured to receive the one or more data.

Abstract: A system for identifying non-events comprising an event capture device and one or more processors in communication with the event capture device. The event capture device is associated with a vehicle that captures driving event data. The one or more processors is configured to receive the captured driving event data; classify the captured driving event data as a non-event or driving event by comparing the captured driving event data to a non-event profile; in the event that the captured driving event data is classified as a non-event, store an abbreviated record of the captured driving event data.

Abstract: A system for event triggering comprises an interface and a processor. An interface configured to receive a face tracking data and receive a sensor data. The processor configured to determine a degree of drowsiness based at least in part on the face tracking data and the sensor data; in the event that the degree of drowsiness is greater than a first threshold, capture data; and in the event that the degree of drowsiness is greater than a second threshold, provide a warning.

Abstract: A system for receiving a driving event comprises an interface and a processor. An interface is configured to receive a portion of data regarding a driving event. A processor is configured to determine whether more data regarding the driving event should be requested and, in the event that more data regarding the driving event should be requested, request more data regarding the driving event.

Abstract: A system for identifying a driver comprises an image capturing device, a processor, and a memory. The image is captured during vehicle operation and of an expected driver location. The processor is configured to detect a face of a driver in the image, determine a set of face data from the image, and identify the driver based at least in part on the set of face data. The memory is coupled to the processor and configured to provide the processor with instructions.