Abstract: Systems and methods for grouping telematics vehicle data in one or more zones are provided herein. Systems and methods for generating zones and providing vehicle information associated with the one or more zones are also provided. Systems and methods for parallelizing zone generation and addressing zones disposed adjacent a boundary of a geographical are also provided.

Abstract: Described herein are examples of a system that processes information describing movement of a vehicle at a time related to a potential collision to reliably determine whether a collision occurred and/or one or more characteristics of the collision. In response to obtaining information regarding a potential collision, data describing movement of the vehicle before and/or after a time associated with the potential collision is analyzed to determine whether the collision occurred and/or to determine one or more collision characteristic(s). The analysis may be carried out at least in part using a trained classifier that classifies the vehicle movement data into one or more classes, where at least some the classes are associated with whether a collision occurred and/or one or more characteristics of a collision. If a collision is determined to be likely, one or more actions may be triggered based on the characteristic(s) of the collision.

Abstract: Systems and methods for detecting bad installations of telematics devices are provided. The method involves operating at least one processor to: receive image data associated with an installation of a telematics device in a vehicle; extract a portion of the image data containing the telematics device using a first machine learning model trained to detect the telematics device in the image data; determine whether the telematics device was correctly installed using a second machine learning model on the extracted portion of the image data, the second machine learning model trained to classify the telematics device in the extracted portion of the image data based on a position and orientation of at least one fastener attached to the telematics device; and automatically execute at least one action in response to and based on the determination of whether the telematics device was correctly installed.

Abstract: Systems and methods for detecting and removing erroneous tire pressure values are provided. The method involves operating at least one processor to: receive tire pressure data comprising a time series of tire pressure values; simplify the tire pressure data by removing at least some of the tire pressure values that satisfy a predetermined interpolation error threshold; detect, using a trained machine learning classifier, at least one erroneous tire pressure value in the tire pressure data, each erroneous tire pressure value being detected based on the erroneous tire pressure value and a plurality of lagging tire pressure values consecutively trailing the erroneous tire pressure value; clean the tire pressure data by removing the at least one erroneous tire pressure value; and transmit the tire pressure data to a fleet management system, whereby the at least one erroneous tire pressure value is not transmitted to the fleet management system.

Abstract: Systems and methods for collecting telematics data from telematics devices are provided. A fleet management server includes a first and second data store operable to store a first and second set of telematics data associated with a first and second group of telematics devices. A plurality of gateway servers includes a first and second group of gateway servers in communication with the first and second group of telematics devices. The first and second group of gateway servers include at least one common gateway server. A unified downloader is operable to establish a communication channel between each gateway server in the first and second group of gateway servers and the unified downloader such that a single communication channel is established to each common gateway server. The communication channels can be multiplexed and transport asynchronous streams of telematics data. An event bus registers event records for the fleet management and gateway servers.

Abstract: Systems, methods, models, and training data for models are discussed, for determining vehicle positioning, and in particular identifying tailgating. Simulated training images showing vehicles following other vehicles, under various conditions, are generated using a virtual environment. Models are trained to determine following distance between two vehicles. Trained models are used to in detection of tailgating, based on determined distance between two vehicles. Results of tailgating are output to warn a driver, or to provide a report on driver behavior.

Abstract: Described herein are systems and methods for identifying a diagnostic trouble code (DTC) cycle for a vehicle. In an embodiment, one such method may comprise operating at least one processor to: receive telematics data originating from a plurality of telematics devices installed in a plurality of vehicles; identify, using the telematics data, a DTC generated by one or more of the plurality of vehicles, each DTC having a DTC status associated therewith; determine, for each DTC, the ignition cycle during which the DTC was generated; identify, for each DTC, a DTC status cycle by merging consecutive ignition cycles during which the DTC is generated with a consistent DTC status associated therewith; and identify, for each DTC, a DTC cycle based at least in part on each DTC status cycle identified for the DTC.

Abstract: Methods for reversing determination for a vehicle asset are provided. The methods include capturing by a telematics device coupled to the vehicle acceleration data from a three-axis accelerometer, determining by an edge reversing-determination machine learning mode, a machine-learning-determined reversing indication for the vehicle asset. The edge reversing-determination machine-learning model being updated based on a centralized reversing-determination machine-learning model trained using a vehicle-provided reversing indication.

Abstract: Devices and methods for controlling audio output in a telematics system are provided. In on method a telematics device determines that a parameter has exceeded a first threshold and sends an automatic volume control trigger message to an audio output device. The telematics device determines that a second parameter has exceeded a second threshold and sends an alert message to the audio output device. The audio output device performs an automatic volume control procedure then plays back and audible alert message.

Abstract: Systems and methods for vehicle data collection by image analysis are provided. An example method involves positioning a camera in a vehicle to be pointed toward a field of interest in the vehicle, capturing an image of the field of interest with the camera, identifying a region of interest in the image that is expected to convey vehicle information, and running an image processing model over the region of interest to extract vehicle information from the image.

Abstract: Systems, methods, models, and training for collision detection and near miss detection are discussed. Models are trained to identify collisions and near misses between two vehicles, based on how quickly a bounding box size changes for a vehicle represented in image data. Rapidly changing bounding box size is indicative of extreme proximity between vehicles, and thus indicative of collision or near-miss scenarios. Identifications of collisions or near misses can be reported to a remote operator, to send emergency assistance, perform driver evaluation, or alert other drivers in the area of risks.

Abstract: Systems and methods for operating fleet management systems are provided. The systems and methods can involve a plurality of device data importer services, at least one data access service, and a plurality of application programing interface (API) services. The plurality of device data importer services can receive and process first and second telematics data to generate first and second processed telematics data. The at least one data access service can store the first and second processed telematics data in first and second databases. The plurality of API services can receive first and second requests associated with the first and second processed telematics data and transmit first and second responses. The systems and methods can also involve an upgrader application and a plurality of client applications. The upgrader application can determine at least one supported schema change for the database and upgrade the database schema by applying the schema change.

Abstract: Apparatus, methods and system relating to a vehicular telemetry environment for an intelligent Bluetooth beacon I/O expansion of the vehicular telemetry hardware system. The intelligent Bluetooth beacon I/O expansion provides a capability to receive beacon data, log beacon data, communicate beacon data and operate on beacon data to determine and further communicate a range of operational conditions, such as damage, hazardous and missing objects in the form of text messages, audio messages or compliance and management reports.

Abstract: The present disclosure relates to systems, methods, and devices for controlling charging of vehicles, to avoid charging during charge-adverse time periods or during charge restriction events. This can advantageously reduce cost to vehicles owners, and or provide access to reward incentives. Further, power distribution entities (utility providers) advantageously have increased control over power distribution to avoid over-burdening of power distribution infrastructure. Further, systems and methods for determining or inferring whether a vehicle is connected to a charge station are described, which can be used to inform automatic restriction of vehicle charging.

Abstract: The systems, methods, and devices for identifying pairings between vehicles and charge stations are described. In the absence of explicit communication or handshaking between a vehicle and a charge station, location data and charge timing data between charge stations and vehicles is compared. Probabilistic coupling between vehicles and charge stations is determined. Further, overall coupling likelihood for a plurality of vehicles and a plurality of charge stations is determined by comparing scenarios of different coupling combinations.

Abstract: The present systems, devices, and methods relate to managing shared vehicle access. Vehicle access can be provided to a candidate user based on whether the user is included in a list of at least one user associated with a respective virtual key. Virtual keys can be created, or lists of at least one user can be updated to include the candidate user, to in turn provide vehicle access. Virtual keys can be stored in a plurality of virtual key slots, with vehicle access being provided based on a virtual key stored in an active key slot. Status reports can be sent to a reservation management device, for updating virtual keys or lists of at least one user.

Abstract: This disclosure proposes a system in which two redundant asset tracking devices are used to monitor a single asset (such as a vehicle, which may contain a group of assets in cargo) via two distinct communication systems that operate in parallel, and which may operate in addition to any primary mode of communication used by the asset tracking devices (e.g., cellular communication). In some examples, each asset tracking device may communicate through separate and distinct satellite communication networks.

Abstract: A housing for an electronic device having an integrated battery compartment is provided. The integrated battery compartment has battery contacts and battery retainers that maintain batteries in place despite motion or impact forces.

Abstract: Systems and methods for determining an estimated weight of a vehicle are provided. The system includes at least one data storage and at least one processor. The at least one data storage is configured to store vehicle data associated with the vehicle. The at least one processor is configured to: identify a plurality of vehicle maneuvers based on the vehicle data, each vehicle maneuver being associated with a portion of the vehicle data, each portion of the vehicle data comprising a measured torque profile; generate a plurality of simulated torque profiles for each vehicle maneuver; generate a plurality of error profiles, an error profile being generated for each vehicle maneuver based on differences between the plurality of simulated torque profiles and the measured torque profile corresponding to that vehicle maneuver; and determine the estimated weight of the vehicle based on the plurality of error profiles.

Abstract: A synchronized data set is generated from multiple asynchronous data sets. An interpolated data set is generated for each asynchronous data set, at a higher data rate than recorded data rates for the asynchronous data sets. The interpolated data for each data set is then sampled at a lower data rate which is common to all the interpolated data sets. The sampled data points are synchronized between the different data sets, such that the sampled data points represent a synchronized data set. Input telematic data can be reduced to inflection points in the telematic data, and interpolation and sampling of asynchronous data sets can be limited to threshold time periods around the inflection points.