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 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 creating a coaching session comprises one or more processors and one or more memories. The one or more processors are in communication with the event detector and configured to: receive data of a driving event from an event detector associated with a vehicle; analyze the driving event data to identify risky driving behavior; and create a coaching session in order to reduce the identified risky driving behavior. The coaching session incorporates at least a portion of the data of the driving event. The one or more memories are coupled to the one or more processors and configured to provide the one or more processors instructions.

Abstract: A system for evaluating risk in driving comprises a processor and a memory. The processor is configured to determine whether a spacial motion data does not fall within the vehicle profile and, in the event that the spacial motion data does not fall within the vehicle profile, to change class/type assignment associated with the vehicle and to modify a trigger threshold associated with an event detector that monitors the spacial motion data. The memory is coupled to the processor and is configured to provide the processor with instructions.

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 Driver Risk Assessment System and Method Having Calibrating Automatic Event Scoring is disclosed. The system and method provide 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 and 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. Importantly, the onboard event scoring system, if enabled, will continuously evolve and improve in its reliability by being periodically re-calibrated with the ongoing reliability results of manual human review of automated predictive event reports.

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 drive event capturing based on geolocation comprises an interface and a processor. The interface receives driving data from one or more onboard sensors of a vehicle, and the processor is configured to capturing a drive event based on a geolocation of the vehicle. The capturing of the drive event includes causing storage of driving data associated with the drive 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.

Abstract: Valid driving events and non-events are identified, and detailed information is stored for valid events. Valid events are those captured driving events that are essential to testing of a driver's risky behavior. Remaining captured events which are not identified as involving risky behavior are non-events. At least one event capture device captures location, trigger force, images, and other information that collectively comprise an event. An event detector compares the captured event data to previously created non-event profiles and determines whether the captured event is a non-event. An abbreviated record is created for each identified non-event. For valid driving events, detailed driving event records are created. The records are stored at an evaluation server and are accessible to an analysis station for scoring and review.

Abstract: A system for evaluating risk in driving comprises a processor and a memory. The processor is configured to determine whether a spacial motion data does not fall within the vehicle profile and, in the event that the spacial motion data does not fall within the vehicle profile, to change class/type assignment associated with the vehicle and to modify a trigger threshold associated with an event detector that monitors the spacial motion data. The memory is coupled to the processor and is configured to provide the processor with instructions.

Abstract: Systems and methods for the capture, analysis, and reporting of risky driver behavior are provided in combination with coaching of individual drivers to improve driver performance. The system comprises an event capture device that records both audio and video of an event. The event data, which includes the audio, video, and other related information, is provided to an evaluation server where it is then analyzed and scored and compiled with other event data. Event data can be compiled for individual drivers, groups of drivers, and the entire universe of drivers for an organization. The evaluation server provides managers, supervisors, and executives with access to reports including granular information about risky behavior and trends related to individual drivers, groups of drivers, or the entire universe of drivers for the organization.

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 creating a coaching session comprises one or more processors and one or more memories. The one or more processors are in communication with the event detector and configured to: receive data of a driving event from an event detector associated with a vehicle; analyze the driving event data to identify risky driving behavior; and create a coaching session in order to reduce the identified risky driving behavior. The coaching session incorporates at least a portion of the data of the driving event. The one or more memories are coupled to the one or more processors and configured to provide the one or more processors instructions.

Abstract: Systems and methods for computer assisted cueing and selective reviewing of driving data in order to save time in the data review process are provided. The method allows identifying essential portions of the data, selecting the essential portions, reviewing the selected data and retrieving additional data leading to the event if necessary. At least one event capture device continuously captures data into a buffer. The data are sent to an event detector communicatively coupled to the event capture device only when the event detector requests them. After receiving the data, the event detector selects and indexes a pre-event portion, during-event portion and post-event portion, combines the portions of captured data into a single driving event record and sends the driving event record to the evaluation server. From the server, the driving event record is sent to the analysis station for review and analysis.

Abstract: Systems and methods for taking risk out of driving are presented. The system comprises an event capture device that records audio, video, and other information that collectively comprise an event. The event data, including the audio, video, and other related information, is provided to an evaluation server where it is stored in a database of events. Driving events can be analyzed singularly or collectively to provide counseling of fleet drivers, reconstruction and forensic analysis of automobile accidents, and driver and/or vehicle scores/ratings.

Abstract: Driving events are captured at an event detector in a vehicle and stored in an associated data storage area. The output of a sensor in the vehicle is monitored, and the stored driving event data is sent to an evaluation server over a wireless communication network when a data transfer condition is detected. Driving event data is sent to the evaluation server when a predetermined output from the sensor is detected and the vehicle is in the transmission range of an access point. The predetermined sensor output may be from a motion sensor in the vehicle indicating that the vehicle is substantially stopped, or from a vehicle location sensor indicating that the vehicle is within transmission range of an access point.

Abstract: Separate first and second input streams of image frames are received by a frame combiner module, which combines an image frame from the first stream with an image frame from the second stream to produce a single output stream of combined frames. The single output stream is encoded by an encoder module such as an MPEG encoder to produce an encoded output signal, which may be stored or transmitted over a network.

Abstract: A data transfer system and method allows data files to be transmitted from a user device through a private network and a public network to a destination server without requiring write permission at an intermediate server of the private network. A configurable segment of data is read from a file to be transmitted. A network message having a header and a data payload is then created and addressed to a destination server associated with a public network. The data segment is placed in the data payload of the network message. The network message is then sent over the private and public networks to the destination server. The process is repeated until the entire data file has been sent in a series of network messages to the destination server. The file is reconstructed at the destination server from the data segments in the series of received network messages.

Abstract: Systems and methods for scoring individual and groups of drivers and providing vehicle ratings based on captured driving event data are provided. The system comprises an event capture device that records both audio and video of an event. The event data, which includes the audio, video, and other related information, is provided to an evaluation server where it is compiled and analyzed to identify correlations between events, driving behavior, vehicles, circumstances of events, individual drivers, and other event attributes. These correlations are continuously updated and can be weighted in order to provide a comprehensive analysis of the tendencies and characteristics of an individual driver or group of drivers. Event data particular to an individual or group is compiled and analyzed to provide an individualized driver or group score that can be used as a basis to rate the driver or group for customized insurance coverage.