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.

Abstract: A system for identifying data includes an interface and a processor. The interface is configured to receive training data samples associated with interesting events of an interesting event type. The processor is configured to train a model to recognize the interesting events; determine embedded vectors associated with the interesting events; and determine a representative embedded vector associated with the interesting event type.

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 for driver identification includes an interface and a processor. The interface is configured to receive a trip; and receive a set of albums, wherein an album of the set of albums includes one or more existing trips. The processor is configured to determine similarities for the trip to all trips in the set of albums; determine a first clustering based at least in part on the similarities; indicate that the trip is a provisionally assigned trip that is provisionally assigned to the album of the set of albums based at least in part on the first clustering; determine a second clustering for a set of provisionally assigned trips and all trips in the set of albums, wherein the set of provisionally assigned trips comprises qualified provisionally assigned trips; and determine updated trip assignments for an updated set of albums.

Abstract: A system for dynamic job shifting includes an interface and a processor. The interface is configured to receive a job request to perform a job. The processor is configured to monitor available resources for performing the job. The available resources include a set of vehicle carried systems accessible to a vehicle event recorder via a communication link. The vehicle event recorder is coupled to a vehicle. The processor is further configured to determine a vehicle carried system of the set of vehicle carried systems for performing the job; provide the job to the vehicle carried system, where the job is configured to create one or more checkpoint data files; and receive an indication of creation of a checkpoint data file of the one or more checkpoint data files.

Abstract: A system for characterizing driver behavior includes an interface and a processor. The interface is configured to receive a set of vehicle data, wherein the set of vehicle data comprises embedded image vectors that characterize vehicle data over a short time scale. The processor is configured to determine, using a long time scale model, a long time scale label based at least in part on the embedded image vectors.

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: A system for locating according to a data description includes an interface and a processor. The interface is configured to receive the data description. The processor is configured to create a model-based item identification job based at least in part on the data description; provide the model-based item identification job to a set of vehicle event recorder systems, wherein the model-based item identification job uses a model to identify sensor data resembling the data description; receive the sensor data from the set of vehicle event recorder systems; and store the sensor data associated with the model-based item identification job.

Abstract: A system for extended time scale event detection includes a data storage device and a processor. The data storage device is configured to store sensor data associated with a vehicle. The processor is configured to analyze an extended time period of the sensor data to identify minor events. The minor events are detected using a minor event threshold. The processor is further configured to determine whether there are more than a threshold number of the minor events and, in the event there are more than a threshold number of the minor events, flag the minor events.

Abstract: The system includes a device database, an interface, and a processor. The device database stores a set of times and corresponding set of locations associated with a device. The interface is configured to receive a request for identification of sensor data associated with a target. The request includes a request time and/or a request location. The processor is configured to: determine a set of devices associated with the time and/or the location using the device database; provide a request to search for the sensor data associated with the target at the time and/or the location to each device of the set of devices; and receive an indication of the identification of sensor data associated with the target from an identifying device of the set of devices.

Abstract: A system for video analysis includes an interface and a processor. The interface is configured to receive a trigger indication. The processor is configured to determine a time sequence set of video frames associated with the trigger indication; determine a decision based at least in part on an analysis of the time sequence set of video frames; and indicate the decision.

Abstract: A leader system for time synchronizing includes an interface and a processor. The interface is configured to receive a time standard. The processor is configured to determine whether a time jump is necessary in response to the time standard; and in response to determining that the time jump is necessary: 1) cause overwriting a sensor data buffer; 2) provide an indication to unregister one or more follower devices from a leader device; and 3) time jump a leader device time in response to the time standard.