Abstract: A system includes an interface and a processor. The interface is configured to receive one or more images of an interior of a vehicle from a camera. The processor is configured to determine whether the one or more images indicates to initiate communication to a selected group of receivers from a driver; receive a message; and provide the message to the selected group of receivers.

Abstract: The system comprises an interface and a processor. The interface is configured to receive vehicle data, comprising data associated with a vehicle over a period of time; and receive driver location data, comprising location data associated with one or more drivers of a roster of drivers. The processor is configured to determine a likely pool of drivers based at least in part on the driver location data and the vehicle data; and process the vehicle data and the likely pool of drivers using a model to determine a most likely driver.

Abstract: A system for capturing location-based data includes an interface and a processor. The interface is configured to receive a location-based data description for capturing the location-based data. The processor is configured to determine a location based at least in part on the location-based data description, create a location-based data identification job based at least in part on the location, cause execution of the location-based data identification job to a set of vehicle event recorder systems, wherein the location-based data identification job is executed by a vehicle event recorder system of the set of vehicle event recorder systems to acquire sensor data in response to a vehicle being able to acquire the sensor data related to the location of the location-based data identification job, receive the sensor data from the vehicle event recorder system, and determine the location-based data based at least in part on the sensor data.

Abstract: A system for training a model comprises an interface and a processor. The interface is configured to receive a general training set and a set of specific data sets. The processor is configured to train a back end model using the general training set; combine the back end model with a first front end model to create a general combined model; train the general combined model with the set of specific data sets; freeze back end weights of the back end model in the general combined model and combine the back end model with a first specific front end model to create a first specific model; train the first specific model with a first specific data set of the set of specific data sets; and provide the first specific model.

Abstract: A system for timing or zone alert determination from vehicle events and/or an accident database includes an interface and a processor. The interface is configured to receive a location of a translating object. The processor is configured to trigger a warning to the translating object based at least in part on its location and the existence of an associated hazard.

Abstract: A system for context based alert filtering using ranked risk from vehicle events and/or an accident database includes an interface and a processor. The interface is configured to receive a location of a translating object. The processor is configured to trigger a warning to the translating object based at least in part on its location and the existence of an associated hazard, wherein a secondary condition distinct from the hazard is used to determine relevance of the hazard.

Abstract: A system for dynamic capturing of dynamic event data includes an interface and a processor. The interface is configured to receive a request for dynamic event data at a vehicle event recorder. The processor is configured to extract a location and a configuration setting from the request, modify a setting associated with collection of the dynamic event data according to the configuration setting, wherein the dynamic event data is collected using one or more sensors, determine whether the vehicle event recorder is located appropriately to record the dynamic event data using the one or more sensors, in response to determining that the vehicle event recorder is located appropriately to record the dynamic event data using the one or more sensors, record the dynamic event data from the one or more sensors, and provide the dynamic event data.

Abstract: The present application discloses a method, system, and computer system for providing a unified map and performing an active measure for re-routing transport based on one or more hazards along a current route. The method includes obtaining context information for a managed vehicle, obtaining map data, determining, based at least in part on the context information and the map data, whether the managed vehicle is parked in an unsafe location, in response to determining that the managed vehicle is parked in the unsafe location, determining whether to perform an active measure with respect to the managed vehicle, and in response to determining to perform the active measure, performing the active measure.

Abstract: A system for data escalation includes an interface and a processor. The interface is configured to receive sensor data. The processor is configured to determine whether the sensor data indicates an infraction by a driver; in response to the sensor data indicating the infraction by the driver, determine whether the sensor data is to be escalated; in response to determining that the sensor data is to be escalated, indicate that the sensor data is to be escalated to a server; and in response to determining that the sensor data is not to be escalated, indicate the infraction to the driver.

Abstract: A system for sorting event data includes an interface and a processor. The interface is configured to receive a small set of video frame data from a vehicle event recorder. The processor is configured to determine that the small set of video frame data indicates to fetch more vehicle event recorder data; determine a categorization based at least in part on the more vehicle event recorder data; and in response to the categorization, route the more vehicle event recorder data to a reviewing queue.

Abstract: A system includes a vehicle event recorder and a modem. The vehicle event recorder is configured to receive a sensor data signal from a sensor that is mounted on a vehicle trailer. The modem is configured to demodulate the sensor data signal to create a modulated sensor data signal. The demodulated sensor data signal is received using a first line. The first line is coupled via a harness to sensor on a vehicle trailer.

Abstract: A system for location risk determination and ranking based on vehicle events and/or an accident database includes an interface and a processor. The interface is configured to receive accident data and/or event data. The processor is configured to determine a set of incident groups, wherein an incident group of the set of incident groups is associated with a set of accidents of the accident data and/or a set of events of the event data that are grouped by location proximity. The processor is further configured to determine a set of traffic estimations, wherein a traffic estimation of the set of traffic estimations is associated with the incident group of the set of incident groups; and determine a ranking of the set of incident groups based at least in part on the set of accidents, the set of events, and the set of traffic estimations.

Abstract: The system comprises an interface and a processor. The interface is configured to receive vehicle data, comprising data associated with a vehicle over a period of time; and receive driver location data, comprising location data associated with one or more drivers of a roster of drivers. The processor is configured to determine a likely pool of drivers based at least in part on the driver location data and the vehicle data; and process the vehicle data and the likely pool of drivers using a model to determine a most likely driver.

Abstract: A system for capturing location-based data includes an interface and a processor. The interface is configured to receive a location-based data description for capturing the location-based data. The processor is configured to determine a location based at least in part on the location-based data description, create a location-based data identification job based at least in part on the location, cause execution of the location-based data identification job to a set of vehicle event recorder systems, wherein the location-based data identification job is executed by a vehicle event recorder system of the set of vehicle event recorder systems to acquire sensor data in response to a vehicle being able to acquire the sensor data related to the location of the location-based data identification job, receive the sensor data from the vehicle event recorder system, and determine the location-based data based at least in part on the sensor data.

Abstract: The system includes a processor and memory. The processor is configured to receive sensor data set and video data set associated with a vehicle; determine, using a reduction model, a compressed video data set based at least in part on the sensor data set and the video data set; and transmit or store the compressed video data set. The memory coupled to the processor and configured to provide the processor with instructions.

Abstract: A system for collision detection includes an interface and a processor. The interface is configured to receive sensor data from a plurality of sensors. The processor is configured to preprocess the sensor data using a set of preprocessing steps to create preprocessed sensor data, wherein the set of preprocessing steps comprises filtering, normalization, and alignment; process the preprocessed sensor data using a compound model to create a collision score; and provide the collision score.

Abstract: A system for video processing includes a ranging system hardware interface, a vehicle bus interface, and a processor. The ranging system hardware interface is configured to receive ranging system data and/or ranging system metadata. The a vehicle bus interface is configured to receive vehicle bus data and vehicle bus metadata sent from a ranging system. The processor is configured to determine video data of interest based at least in part on the ranging system data and the ranging system metadata. The ranging system data and/or the ranging system metadata data includes information not included in the vehicle bus data and vehicle bus metadata sent from the ranging system via the vehicle bus interface.

Abstract: A system for determining risky events includes an input interface and a processor. The input interface is for receiving sensor data on environmental conditions. The processor is for determining whether the environmental conditions indicate an increase in event probability and, in the event that environmental conditions indicate the increase in the event probability, adjusting an event detection threshold.

Abstract: A system for updating training data includes an interface and a processor. The interface is configured to receive a set of vehicle data. The set of vehicle data includes images and assigned labels associated with the images. The processor is configured to determine a set of training data and a set of test data from the set of vehicle data; train a model with the set of training data; determine a set of predicted labels for the set of vehicle data using the model; identify a set of potential mislabeled data using the set of predicted labels and the assigned labels; and determine an updated set of training data by relabeling the set of potential mislabeled data and replacing the set of potential mislabeled data with a relabeled set of data.

Abstract: A system for managing a time reference includes a real-time clock, an interface, and a processor. The real-time clock store an RTC time. The interface is configured to receive a GPS time and a cellular time. The processor is configured to: indicate to start a time-speed adjustment loop; determine a true time based at least in part on the GPS time and the cellular time; determine an error between the true time and the RTC time; determine an RTC speed calibration adjustment based at least in part on the error; and adjust the real-time clock speed based at least in part on the RTC speed calibration adjustment.