Abstract: Systems and methods for crash determination in accordance with embodiments of the invention are disclosed. In one embodiment, a vehicle telematics device includes a processor and a memory storing a crash determination application, wherein the processor, on reading the crash determination application, is directed to obtain sensor data from at least one sensor installed in a vehicle, calculate peak resultant data based on the sensor data, where the peak resultant data describes the acceleration of the vehicle over a first time period, generate crash score data based on the peak resultant data and a set of crash curve data for the vehicle, where the crash score data describes the likelihood that the vehicle was involved in a crash based on the characteristics of the vehicle and the sensor data, and provide the obtained sensor data when the crash score data exceeds a crash threshold to a remote server system.

Abstract: Systems and methods for dynamic telematics messaging in accordance with embodiments of the invention are disclosed. One embodiment includes a dynamic telematics messaging system includes at least one vehicle telematics device, and a dynamic telematics messaging server system including, at least one processor, and a memory containing a messaging application, wherein the messaging application directs the at least one processor to, obtain a first message data from the at least one vehicle telematics device encoded in a first message format, transcode the first message data into a second message format, process the transcoded message data, and provide the transcoded message data.

Abstract: Systems and methods for using machine learning classifiers to identify anomalous driving behavior in vehicle driver data obtained from vehicle telematics devices are provided. In one example, a vehicle telematics device receives vehicle driver data from sensors, identifies anomalies in the vehicle driver data by using an unsupervised machine learning process, calculates a driver risk score by using the anomalies identified in the vehicle driver data, and transmits the risk score to a remote server system. In another example, a server system receives vehicle driver data from a plurality of vehicle telematics devices, identifies anomalies in the vehicle driver data by using an unsupervised machine learning process, and calculates a driver risk score by using the anomalies identified in the vehicle driver data.

Abstract: Technologies for determining driver efficiency include receiving, by a telematics server, accelerometer data from a telematics device located in a vehicle driven by a driver. The accelerometer data defines a pattern of acceleration of the vehicle over a time period. The telematics server determines a driver efficiency score of the driver based on the accelerometer data. The driver efficiency score is indicative of an average absolute acceleration of the vehicle over the time period. The determined driver efficiency score may be compared to a reference efficiency score and/or efficiency scores of other drivers to rank the drivers.

Abstract: Embodiments of the invention include a vehicle telematics system including a telematics device and a remote server system, wherein the telematics device obtains sensor data from at least one sensor installed in a vehicle, calculates peak resultant data based on the sensor data, generates crash score data based on the peak resultant data and a set of crash curve data for the vehicle, and provides the obtained sensor data when the crash score data exceeds a crash threshold to the remote server system and the remote server system obtains vehicle sensor data and vehicle identification data from the vehicle telematics device, calculates resultant change data and absolute speed change data based on the obtained sensor data and/or the vehicle identification data, and generates crash occurred data when the resultant change data exceeds a first threshold value and when the absolute speed change data is below a second threshold value.

Abstract: Systems and methods for impact detection in accordance with embodiments of the invention are disclosed. In one embodiment, a vehicle impact detection system includes an acceleration sensor, a storage device storing an impact detection application, and a processor, where the impact detection application directs the processor to receive acceleration information using the acceleration sensor, filter the acceleration information to attenuate noise, determine an occurrence of an impact by detecting an acceleration from the acceleration information that exceeds a threshold for a time period, detect an angle of the impact with respect to a forward direction using the acceleration information, and trigger an impact detector signal.

Abstract: Systems and methods for radio access interfaces in accordance with embodiments of the invention are disclosed. In one embodiments, a vehicle telematics device includes a processor, a communications device, and a memory, wherein the vehicle telematics device communicates with a mobile communications device using the communications device, wherein the mobile communications device is in communication with a remote server system via a mobile network connection, and wherein the vehicle telematics device provides data to the mobile communications device, where the data is to be transmitted to the remote server system, provides command data to the mobile communications device, where the command data instructs the mobile communication device to transmit the data to the remote server system using at least one communication protocol, and causes the mobile communications device to transmit the data to the remote server system using the at least one communication protocol based on the command data.

Abstract: Technologies for dynamic telematics message parsing include a telematics cloud server that receives a message definition and generates a dynamic message parser based on the message definition. The message definition may be a binary structure definition. A telematics device receives a message data payload from a peripheral device of a vehicle and then transmits a device message including the message data payload to the cloud server. The peripheral device may include a sensor or a controller coupled to the vehicle. The cloud server executes the dynamic message parser with the message data payload and generates a standardized data structure. The standardized data structure may be processed using a telematics cloud platform. Other embodiments are described and claimed.

Abstract: Systems and methods for multiple network mode selection devices in accordance with embodiments of the invention are disclosed. In one embodiment of the invention, a multiple network mode selection device includes a processor, a radio module connected to the processor, and network determination process storage connected to the processor and configured to store one or more network determination processes, wherein the processor is configured to connect to a first network using the radio module, execute a network determination process selected from the one or more network determination process, reprogram the radio module in response to the executed network determination process, and connect to a second network using the radio module, where the second network is separate from the first network.

Abstract: A disclosed under-voltage lockout (UVLO) circuit includes an automatic UVLO threshold configuration. The UVLO circuit may include an over-voltage protection circuit that receives power from a power source, a peak detector that detects a peak voltage output for the power source, a voltage threshold generator that sets a UVLO threshold based on the peak voltage output, and a comparator that compares an instantaneous voltage with the UVLO threshold and configures an operating mode of a device based on the comparison.

Abstract: In one embodiment, a vehicle telematics device is disclosed with a hibernate control circuit. The hibernate control circuit can selective switch battery power on and off to hibernatable circuits. The hibernate control circuit can be responsive to external main power availability, battery charge condition, and a periodic low frequency clock in the generation of a battery switch enable A power supply switch can be selectively controlled by the battery switch enable signal to switch battery power on and off to the hibernatable circuits.

Abstract: Systems and methods for determining vehicle operational status in accordance with embodiments of the invention are disclosed. In one embodiment, a vehicle event detection device includes a low pass filter configured to sense a vehicle voltage and filter the sensed voltage to remove noise, and a plurality of first high pass filter configured to detect either a drop or a rise in the vehicle voltage and several low power comparators configured to determine whether the drop or rise in voltage is indicative of a vehicle event.

Abstract: Embodiments of the invention include a vehicle telematics system that obtains vehicle bus data for a time period, determines identification information regarding a vehicle platform using a machine learning process on the vehicle bus data, and obtains a set of communication data for communicating with at least one vehicle module on the vehicle bus based on the identified vehicle platform.

Abstract: Technologies assessing driver behavior include a vehicle telematics device configured to analyze sensor data from one or more vehicle sensors to detect whether a vehicle event has occurred and to communicate with a vehicle camera system to obtain video data associated with the detected vehicle event. The vehicle telematics device may transmit the obtained sensor data and/or video data to a remote server system. The vehicle telematics device may also receive a notification from the vehicle camera system that indicates the vehicle camera system has detected a vehicle event. In response to the notification, the vehicle telematics device may obtain sensor data form the one or more vehicle sensors and/or video data from the vehicle camera system and transmit the sensor and/or video data to the remove server system.

Abstract: Systems and methods for locating collocated assets in accordance with embodiments of the invention are disclosed. In one embodiment of the invention, an asset tracking device includes a processor, a memory connected to the processor, and a communications device connected to the processor, wherein the processor obtains asset signal data, where the asset signal strength data includes asset data identifying an asset, calculates asset signal strength data based on the obtained asset signal data, and determines chained asset data based on the asset signal data and the asset signal strength data, where the chained asset data identifies a set of assets chained to a master asset associated with the asset tracking device.

Abstract: Embodiments of the invention include a vehicle telematics system including telematics a telematics device, where the telematics device includes a modem that communicates using several communication modes, and the processor of the telematics device is directed to operate in the communication mode, transmit a notification to the cellular data server regarding a switch to a different communication mode, switch to the navigation mode and obtain location data for a first time, switch back to the communication mode, extrapolate a new location for a second time while in the communication mode based on an analysis of the location data received during the navigation mode.

Abstract: Embodiments of the invention include a vehicle telematics device that performs vehicle CAN bus discovery using bit timing analysis. In an embodiment, the vehicle telematics device enters a vehicle CAN bus protocol discovery mode, samples a vehicle CAN bus signal, performs bit timing analysis of the CAN bus signal, calculates a BAUD rate of the vehicle CAN bus based on the bit timing analysis, determines a data packet format of data packets on the vehicle CAN bus, and identifies a vehicle CAN bus protocol from a plurality of vehicle CAN bus protocols based on the calculated BAUD rate and data packet format.

Abstract: Embodiments of the invention include a vehicle telematics system including a telematics device, wherein the telematics device detects, using a processor of a telematics device, a vehicle ignition off event and reconfigures at least one parameter of an accelerometer for a low power mode of operation while in the vehicle ignition off state, and places the telematics device in a sleep mode of operation, wherein an accelerometer generates an interrupt to wake the processor of the telematics device from the sleep mode of operation upon detecting an acceleration event that exceeds a threshold, and the processor of the telematics device analyzes the accelerometer data stored in a FIFO buffer of the accelerometer.

Abstract: Embodiments of the invention include a vehicle telematics system including a telematics device and a remote server system, wherein the telematics device obtains sensor data from at least one sensor installed in a vehicle, calculates peak resultant data based on the sensor data, generates crash score data based on the peak resultant data and a set of crash curve data for the vehicle, and provides the obtained sensor data when the crash score data exceeds a crash threshold to the remote server system and the remote server system obtains vehicle sensor data and vehicle identification data from the vehicle telematics device, calculates resultant change data and absolute speed change data based on the obtained sensor data and/or the vehicle identification data, and generates crash occurred data when the resultant change data exceeds a first threshold value and when the absolute speed change data is below a second threshold value.

Abstract: A vehicle telematics system is provided having secure communication capabilities between a vehicle telematics device and external computing devices. In one embodiment, the vehicle telematics device includes a processor; a memory coupled to the processor and storing a vehicle telematics application; and a security chip coupled to the processor and the memory, wherein the security chip is configured to support a Transport Layer Security (TLS) stack.