Abstract: A system for determining a safety score comprising an input interface and a processor. An input interface configured to receive compliance events from a database of compliance events and to receive detected driving events from a database of detected driving events. A processor configured to filter the compliance events and the detected driving events to generate a filtered list and to determine a safety score based at least in part on the filtered list.

Abstract: A safety score using video data but without video comprises an input interface and a processor. The input interface is configured to receive sensor data. The processor is configured to provide the sensor data to a safety score determiner, and determine a safety score using the safety score determiner without using inward facing video data, wherein the safety score determiner has been trained using a data set that includes sensor data with inward facing video data. The system for determining a safety score additionally comprises a memory coupled to the processor and configured to provide the processor with instructions.

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 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 automatic characterization of a vehicle includes an input interface and a processor. The input interface is for receiving sensor data. The processor is for determining a vehicle characterization based at least in part on the sensor data and determining a vehicle identifier based at least in part on the vehicle characterization.

Abstract: A safety score using video data but without video comprises an input interface and a processor. The input interface is configured to receive sensor data. The processor is configured to provide the sensor data to a safety score determiner, and determine a safety score using the safety score determiner without using inward facing video data, wherein the safety score determiner has been trained using a data set that includes sensor data with inward facing video data. The system for determining a safety score additionally comprises a memory 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 safety score using video data but without video comprises an input interface and a processor. The input interface is configured to receive sensor data. The processor is configured to provide the sensor data to a safety score determiner, and determine a safety score using the safety score determiner without using inward facing video data, wherein the safety score determiner has been trained using a data set that includes sensor data with inward facing video data. The system for determining a safety score additionally comprises a memory coupled to the processor and configured to provide the processor with instructions.

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 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 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 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 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 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 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 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 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 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.