Abstract: A cost required to perform the diagnosis of the degradation such as a reduction in output power of an engine while engine degradation diagnosis accuracy is improved. To this end, a controller 37 (engine diagnosing device) determines whether a hydraulic pump 12 is in a preset loaded state (an operation scene where a load torque of the hydraulic pump 12 is in a stable state) for acquiring diagnosis data of an engine 10, and validates a controlled variable related to a torque command value Ta of speed sensing control as the diagnosis data of the engine 10 when it is determined that the hydraulic pump 12 is in the present loaded state, generates time history data using this validated controlled variable as a current feature variable, and enables this time history data to be displayed as trend data for engine diagnosis on a display device 38.

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: Described herein are methods of processing telematics data that include receiving initial telematics data related to a vehicle from a telematics device and processing the initial telematics data to generate processed telematics data. For each recipient of a plurality of recipients, the methods additionally include determining, from the initial telematics data and/or the processed telematics data, data that is to be made accessible to a recipient. Determining the data that is to be made accessible to the recipient comprises evaluating one or more constraints for the recipient that constrain what data the recipient is permitted to receive and determining what data has been requested to be provided to the recipient. For each recipient of a plurality of recipients, the methods additionally include distributing the determined data to the recipient. Also described herein are systems for processing telematics data in accordance with the described methods.

Abstract: The airport ground collision alerting system comprises an automatic dependent surveillance-broadcast, ADS-B, receiver; a first database coupled to the ADS-B receiver and configured for look-up of aircraft type data based on aircraft ID data received via the ADS-B receiver and for storing aircraft position and heading data received via the ADS-B receiver; a second database configured to store digital map data for one or more airports; a processor coupled to the first and second databases and an application programming interface, API, configured to couple the airport ground collision alerting system to a display device.

Abstract: The present invention provides a robust and effective solution to an entity or an organization for creating and standardizing an Automotive Data Quality Marker (ADQM) to determine/evaluate/predict the quality of automotive data such as Telematics, Body Control, ADAS, Diagnostics, Dashcams, and In-Vehicle Infotainment but not limited to the like generated by the vehicle (i.e., data source) using a machine learning (ML) engine associated with a processing unit. The machine learning engine comprises an amalgamation of machine learning algorithms to determine ADQM for a particular dataset. Data pertaining to vehicles is huge and repetitive. Re-training of the model for improved accuracy is a requirement as automotive data can be augmented with additional signals and data received and stored as trip objects on a regular basis.

Abstract: Disclosed is a system for testing batteries, comprising: a battery tester comprising: a tester scanner or camera for capturing an obtained battery identifier; a tester network hardware for transmitting the obtained battery identifier; and a server comprising: a database having data, the data comprising at least one historic battery identifier and associated historic battery characteristic and configured to compare the data with the obtained battery identifier; wherein the battery tester is configured to capture a battery identifier from a battery and transmit the battery identifier to the server.

Abstract: Systems and methods are disclosed with respect to using a blockchain for managing the subrogation claim process related to a vehicle collision, in particular, utilizing evidence oracles as part of the subrogation process. An exemplary embodiment includes receiving recorded data from one or more connected devices at a geographic location; analyzing the recorded data, wherein analyzing the recorded data includes determining that an collision has occurred involving one or more vehicles; generating a transaction including the data indicative of the collision based upon the analysis; and transmitting the transaction to at least one other participant in the distributed ledger network.

Abstract: A system and method for collecting and evaluating data associated with operation of a vehicle. Vehicle trajectory data associated with operation of a vehicle is received from a device configured to collect the vehicle trajectory data. The vehicle trajectory data comprises time-marked and location-marked speed data. The vehicle trajectory data is segmented into one or more segments, each representing a pattern of driver behavior. Event data is retrieved from one or more databases and corresponds to a time associated with the time marking of the vehicle trajectory data and a location associated with the location marking of the vehicle trajectory data. The segments are correlated with the event data using the time and the location. The correlations are analyzed. Based on the analysis, associations between the vehicle trajectory data and the event data are determined. The associations represent a causal relationship between the segments and the event data.

Abstract: A traffic radar system comprises a first radar transceiver, a second radar transceiver, a speed determining element, and a processing element. The first radar transceiver transmits and receives radar beams and generates a first electronic signal corresponding to the received radar beam. The second radar transceiver transmits and receives radar beams and generates a second electronic signal corresponding to the received radar beam. The speed determining element determines and outputs a speed of the patrol vehicle. The processing element is configured to receive a plurality of digital data samples derived from the first or second electronic signals, receive the speed of the patrol vehicle, process the digital data samples to determine a relative speed of at least one target vehicle in the front zone or the rear zone, and convert the relative speed of the target vehicle to an absolute speed using the speed of the patrol vehicle.

Abstract: A traffic radar system comprises a first radar transceiver, a second radar transceiver, a speed determining element, and a processing element. The first radar transceiver transmits and receives radar beams and generates a first electronic signal corresponding to the received radar beam. The second radar transceiver transmits and receives radar beams and generates a second electronic signal corresponding to the received radar beam. The speed determining element determines and outputs a speed of the patrol vehicle. The processing element is configured to receive a plurality of digital data samples derived from the first or second electronic signals, receive the speed of the patrol vehicle, process the digital data samples to determine a relative speed of at least one target vehicle in the front zone or the rear zone, and convert the relative speed of the target vehicle to an absolute speed using the speed of the patrol vehicle.

Abstract: A system for determining drone operation rules configured to (i) receive a plurality of telematics data from a plurality of missions; (ii) analyze the plurality of telematics data to determine one or more mission trends; and (iii) determine one or more rules based upon the one or more mission trends.

Abstract: The invention concerns a device and a method for detecting and identifying a living or non-living entity allowing these entities to be transformed into a detectable object in order to facilitate their detection, recognition and identification. For this purpose, the device comprises at least one detectable electronic housing referred to as the real entity housing (42) and at least one detection module (142), the real entity housing (42) is associated with, integrated with, incorporated with or substituted, partially or not, for the real entity to be detected and identified (48), the real entity housing (42) broadcasts, unidirectionally and as a broadcast and without dialogue and in a loop, a real or virtual image or an avatar of the entity to be detected.

Abstract: A system configured to be coupled with a participant of an activity. The system comprises: a participant activity monitoring unit configured for monitoring a performance of the activity by the participant; an activity information module configured for storing performance information corresponding to the activity; and a participant performance correlator configured for delivering comparative performance data based on the monitored performance of the activity by the participant and the stored performance information.

Abstract: The present disclosure generally relates to systems and methods for generating data representative of an individual's insurance risk based on actual driving behaviors and driving environment. The systems and methods may include collecting data from personal electronic device sensors, vehicle sensors, driver inputs, environment sensors and interactions of the vehicle, the driver and the environment. The systems and methods may further include analyzing the data to generate data representative of an individual insurance risk. The systems and methods may further include presenting the data representative of the individual insurance risk to an individual.

Abstract: A control device is configured to control an operation of a control target. The control device is configured to monitor an abnormality. The control device is configured to store abnormality information according to an abnormality monitor result. When the abnormality of a monitor target is detected, an abnormality treatment confirmation determination related to a transition determination to an abnormality treatment due to an occurrence of the abnormality is different from an abnormality storage confirmation determination that causes the control device to store, as the abnormality information, the abnormality of the monitor target.

Abstract: A computing device is provided comprising a processor and a memory storing instructions executable by the processor. The instructions are executable to query a database of aviation information extracted from one or more aviation information notices for information regarding a status of an airport. One or more query results are received indicating a status of a taxiway of the airport. The one or more query results are used to generate a map of the airport depicting the taxiway with a graphical representation that indicates the status of the taxiway.

Abstract: The system has a processing unit that collects input data and a peripheral storage device, connected to the processing unit via an interface system, for recording event data in a non-volatile memory, wherein the event data are input data stored for a recording time period relative to a time zero representing a time when a trigger event occurs. The peripheral storage device has also a volatile memory, and the data logging system stores the input data in the volatile memory of the peripheral storage device, when input data are being collected, and, when a trigger event occurs, makes a copy of stored input data as a backup from the volatile memory of the peripheral storage device into the non-volatile memory of the peripheral storage device.

Abstract: Systems and methods are disclosed with respect to using a blockchain for managing the subrogation claim process related to a vehicle collision, in particular, utilizing evidence oracles as part of the subrogation process. An exemplary embodiment includes receiving recorded data from one or more connected devices at a geographic location; analyzing the recorded data, wherein analyzing the recorded data includes determining that an collision has occurred involving one or more vehicles; generating a transaction including the data indicative of the collision based upon the analysis; and transmitting the transaction to at least one other participant in the distributed ledger network.

Abstract: In a vehicle control system, a sampling period change unit changes a sampling period such that the sampling period is made shorter, when a driving state of the vehicle becomes to have a higher possibility of accident as a result of driving control of the vehicle than when the driving state of the vehicle becomes to have a lower possibility of accident. A data storage control unit stores in an eMMC control instruction data stored in a temporary storage buffer in a non-volatile memory by sampling at the sampling period set by the sampling period change unit.

Abstract: A recording device includes an acquisition unit configured to acquire predetermined information including at least an image of an area around a vehicle, a recording unit configured to record the predetermined information acquired by the acquisition unit as a file, a playback unit configured to play back a designated file among a plurality of files recorded in the recording unit, and a file management unit configured to extract a file recorded in a period substantially continuous in time series with a file being played back from the plurality of files and protect writing of the extracted file. Thus, it is possible to provide a recording device capable of preventing writing of a file related to a file being played back.

Abstract: There is provided a motorcycle-drive assistance apparatus that makes rapid deceleration by an engine brake possible so that braking control unintended by a rider can be avoided. The motorcycle-drive assistance apparatus is configured in such a way that a deceleration-start inter-vehicle distance calculation unit calculates a deceleration-start inter-vehicle distance, by use of an acceleration value read from an engine-brake acceleration value storage unit, based on an own-vehicle speed calculated by an own-vehicle speed calculation unit and a road-surface gradient angle calculated by a road-surface gradient angle calculation unit and in such a way that when the inter-vehicle distance between an own vehicle and another vehicle, detected by an object detection unit, becomes smaller than the calculated deceleration-start inter-vehicle distance, deceleration of the own vehicle through the engine brake is started.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to predict a time to failure of a vehicle component according to a damage model generated from vehicle operating data, based on the predicted time to failure, retrieve a schematic of the vehicle component and input the schematic to an additive printer to manufacture a replacement vehicle component, and replace the vehicle component with the replacement vehicle component according to maintenance instructions that, based at least in part on the predicted time to failure, specify a time and location to replace the vehicle component.

Abstract: There is provided a method for providing a driving related guidance service by a service server. The method includes receiving advanced driver assistance system (ADAS) data of a vehicle related to a specific driving situation of the vehicle, location data of the vehicle, driving data of the vehicle, and a driving image captured during driving of the vehicle from a vehicle terminal device, generating guidance information related to the specific driving situation of the vehicle by analyzing the received data and the driving image, and providing a driving related guidance service for the vehicle using the generated guidance information.

Abstract: In embodiments of an autonomous vehicle platform and safety architecture, safety managers of a safety-critical system monitor outputs of linked components of the safety-critical system. The linked components comprise at least three components, each of which is configured to produce output indicative of a same event independent from the other linked components by using different input information than the other linked components. The safety managers also compare the outputs of the linked components to determine whether each output indicates the occurrence of a same event. When the output of one linked component does not indicate the occurrence of an event that is indicated by the outputs of the other linked components, the safety managers identify the one linked component as having failed. Based on this, the outputs of the other linked components are used to carry out operations of the safety-critical system without using the output of the failed component.

Abstract: The technology involves operation of a self-driving truck or other cargo vehicle when it is being inspected at a weigh station. This may include determining whether a weigh station is open for inspection. Once at the weigh station, the vehicle may follow instructions of an inspection officer or autonomous inspection system. The vehicle may perform predefined actions or operations so that various vehicle systems and safety issues can be evaluated, such as the brakes, lights, tires, connections between the tractor and trailer, exposed fuel tanks, leaks, etc. A visual inspection may be performed to ensure the load is secured, vehicle and cargo documents meet certain criteria, and the carrier's safety record meets any requirements. In addition, the weigh station itself may be operated in a partly or fully autonomous mode when dealing with autonomous and manually driven vehicles.

Abstract: The present specification relates to wireless power transmission and particularly to a wireless power reception device, wireless power transmission device, method, and system, which can receive and update firmware of a wireless power reception device and/or wireless charging transmission device by using wireless communication. According to the present specification, the firmware of the wireless power reception device and firmware of the wireless power transmission device can be maintained in an up-to-date state.

Abstract: Various aspects of the present disclosure generally relate to vehicle sensors. In some aspects, a device associated with a vehicle may obtain, from an external source, calibration data including a first set of measurements related to a position of one or more objects in a reference frame associated with the external source. The device may identify a second set of measurements related to the position of the one or more objects within a field of view of one or more onboard sensors, and update a calibration table based at least in part on a comparison of one or more of the first set of measurements and one or more of the second set of measurements that are most time-aligned. Accordingly, the device may convert sensor-derived location information from a source reference frame to a reference frame associated with the vehicle using the updated calibration table. Numerous other aspects are provided.

Abstract: A method for enhancing situational awareness in a transportation vehicle includes strategically locating sensory communication devices on the vehicle. The sensory communication devices are operatively connecting to a user network. At least one of the sensory communication devices is activated upon a triggering event. A vehicle data signal including vehicle information is transmitted from the activated sensory communication device to the user network. Using a computing device, the user network is accessed to receive the vehicle information transmitted by the activated sensory communication device.

Abstract: A system, a method, and a computer program product for providing a recreation of an event are disclosed. A plurality of data is received from a plurality of sources of information. The plurality of data describes an event. Each data in the plurality of data has a different format. Each data in the plurality of data is converted into a predetermined format. The converted received plurality of data is combined. Based on the combined converted received data, a report describing a recreation of the event is generated. The generated report is transmitted for display on at least one user interface.

Abstract: Disclosed embodiments include systems, vehicles, and computer-implemented methods for developing a model from parallel sets of driving data to identify the risk level of an event in one of the sets of driving data. In an illustrative embodiment, a system includes a vehicle data system operably coupled with at least one sensor aboard a vehicle to collect vehicle driving data representing driving conduct. A portable data collection module is configured to cause a portable computing system transportable aboard a vehicle to collect portable driving data representing the driving conduct. An evaluation system is configured to receive the portable driving data and the vehicle driving data, assign a risk level to at least one event included in the vehicle driving data, and correlate the vehicle driving data with the portable driving data to identify a pattern in the portable driving data that is associable with the risk level.

Abstract: A system and method of calculating a vehicle DTE are provided to calculate a fuel efficiency of each vehicle drive mode, and display a more accurate DTE of each drive mode. The method includes when a driver selects a drive mode and a drive distance of the selected drive mode is accumulated while a vehicle is being driven in the selected mode, collecting drive data including an accumulated drive distance of each drive mode, and fuel efficiency information of each drive mode. A final fuel efficiency of each drive mode is calculated using a drive distance of each drive mode, a consumption energy of each drive mode or a fuel efficiency of each drive mode, and a learning fuel efficiency. A DTE of each drive mode is then calculated based on the calculated final fuel efficiency of each drive mode.

Abstract: Systems and methods are described for providing an interface and implementing rules and metrics received from the interface regarding the selection of sponsored content networks that provide sponsored content items. This may include providing mediation code to a publisher for inclusion in publisher content provided to a user device, the mediation code associated with a table of sponsored content networks, receiving an image of a sponsored content item and a sponsored content network identifier from the user device, analyzing the image of the sponsored content item, the analysis generating extracted image data from the sponsored content item, categorizing the sponsored content item based on the extracted image data and the sponsored content network identifier, receiving an instruction to filter the sponsored content networks exceeding a metric based on a category, and updating the table of sponsored content networks to remove a particular sponsored content network.

Abstract: A telematics device having a voltage drop detector and a switchable voltage monitor is provided. The voltage drop detector detects a drop in the battery voltage characteristic of cranking and notifies a controller. In response, the controller switches on the switchable voltage monitor for obtaining the battery voltage. The telematics device may be used in vehicles or other equipment powered by engines.

Abstract: An integrated vehicle health management (IVHM) system to resolve equipment-fault related anomalies detected by cyber intrusion detection system (IDS). A benefit of the present system is that it can result in fewer alerts that need manual analysis. A combination of cyber and monitoring with integrated vehicle health management (IVHM) may be a high value differentiator. As a solution gets more mature through a learning loop, it may be customized for different customers in a cost-effective manner, something that might be expensive to develop on their own for most original equipment manufacturers (OEMs). An IVHM symptom pattern recognition matrix may link a pattern of reported symptoms to known equipment failures. This matrix may be initialized from the vehicle design data but its entries may get updated by a learning loop that improves a correlation by incorporating results of investigations.

Abstract: A method for compensating for the absence of GPS data during a period of GPS signal loss in determining travel mileage of a vehicle includes: detecting vehicle motion using an accelerometer during a period of time in which a GPS tracking device is unable to determine a location of the vehicle due to loss of GPS signal; determining a first location of the vehicle corresponding to the last known GPS location data point stored in memory; determining a second location of the vehicle corresponding to a point at which the GPS signal is reacquired; and calculating the distance between the first and second locations based on a straight-line distance calculation between the first and second locations, or based on the use of geospatial mapping data to plot a roadway route between the first and second locations.

Abstract: A computer-implemented method is provided for redundancy reduction for driving test scenarios. The method includes receiving an original test set of driving scenarios and a driving model which simulates a vehicle behavior under a driving scenario inputted to the driving model. The method includes, for each driving scenario of the original test set, obtaining vehicle dynamics timeseries data as an output of the driving model. The method includes determining similar driving scenarios by comparing driving model outputs. The method additionally includes creating a new test set of driving scenarios by discarding duplicated ones of the similar driving scenarios from the original test set.

Abstract: An video analysis computing system driving analysis may include a camera associated with a first vehicle and having a viewing angle capable of capturing a video of one or more other vehicles in proximity to the first vehicle, a first memory location communicatively coupled to the camera, wherein the first memory location stores video data captured by the camera, and an evaluation module including a processor executing instructions that cause the processor to: evaluate the captured video stored in the first memory location to determine whether a driving event performed by a second vehicle has occurred, assign, in response to an identified driving event performed by the second vehicle, a driving event rating to a video showing the identified driving event, wherein the driving event rating may be calculated, at least in part, using a crowd-sourced driving event rating obtained after posting the video to a social network.

Abstract: A method and a system for aggregating users' consents for use of automotive data by data services are provided herein. The method may include the following steps: obtaining, from a plurality of data sources, a plurality of automotive data records associated with connected vehicles having respective users; determining for each request for automotive data made by said data services, which of the data records require consent; aggregating consent data for each data records, responsive to an indication that the respective user have been authenticated by the data sources; and providing the data services with access to automotive data based on the aggregated consent data. The system may implement the aforementioned steps in a form of a server on a computer network.

Abstract: Systems and methods are disclosed with respect to using a blockchain for managing the subrogation claim process related to a vehicle collision, in particular, utilizing evidence oracles as part of the subrogation process. An exemplary embodiment includes receiving recorded data from one or more connected devices at a geographic location; analyzing the recorded data, wherein analyzing the recorded data includes determining that an collision has occurred involving one or more vehicles; generating a transaction including the data indicative of the collision based upon the analysis; and transmitting the transaction to at least one other participant in the distributed ledger network.

Abstract: A system for monitoring components of an aircraft ground refueling system includes a first computing device and a second computing device hosting a data base. The first computing device is caused to read a component identification tag secured to a component of an aircraft ground refueling system; the tag contains a unique component identifier. The first computing device transmits the component identifier to the second computing device which verifies that the component identifier is active in the data. The first computer, responsive to the verification, displays a user interface to receive data representative of an operational status of the component and transmits the operational status. The second computing device stores the data in the database to create an operational history of the component. The second computing device analyzes the history of the data to determine a characteristic operational parameter of the component of the aircraft ground refueling system.

Abstract: Systems and methods are disclosed with respect to using a blockchain for managing the subrogation claim process related to a vehicle collision, in particular, utilizing evidence oracles as part of the subrogation process. An exemplary embodiment includes receiving recorded data from one or more connected devices at a geographic location; analyzing the recorded data, wherein analyzing the recorded data includes determining that an collision has occurred involving one or more vehicles; generating a transaction including the data indicative of the collision based upon the analysis; and transmitting the transaction to at least one other participant in the distributed ledger network.

Abstract: A multi-functional automotive diagnostic device includes a base unit having a display screen and a base electrical connector. The device additionally includes a first cartridge including a first body, a first electrical connector, and a first automotive tool. The device further includes a second cartridge including a second body, a second electrical connector, and a second automotive tool. The first and second cartridges are interchangeably engageable with the base unit, such that engagement of the first cartridge to the base unit occurs when the first electrical connector is electrically connected to the base electrical connector which configures the base unit to operate in accordance with the first automotive tool and engagement of the second cartridge to the base unit occurs when the second electrical connector is electrically connected to the base electrical connector which configures the base unit to operate in accordance with the second automotive tool.

Abstract: [Object] To provide an information processing apparatus, an information processing method, a program, and a system capable of providing a more appropriate vehicle insurance by selecting a vehicle insurance in accordance with a current situation. [Solution] An information processing apparatus including: a selection section configured to select an insurance to be applied to a vehicle from one or more insurances calculated on a basis of a set vehicle insurance condition, attribute information of the vehicle and a user, and real-time characteristic information of the vehicle which includes movement route information.

Abstract: A vehicle control system includes a recording device configured to record vehicle information in files. The recording device includes: an event information receiving unit configured to receive information about prescribed events; a tag providing unit configured to provide protection tags to the files, the protection tags being of different types according to magnitude of the events; and an overwriting setting unit configured to prohibit overwriting of the files provided with the protection tags of a same type in a case where the number of the files provided with the protection tags of the same type is within a prescribed upper limit number, and to permit the overwriting of the files provided with the protection tags of the same type in a case where the number of the files provided with the protection tags of the same type exceeds the upper limit number.

Abstract: Automated vehicle repair estimation by aggregate ensembling of multiple artificial intelligence functions is provided. A method comprises receiving a plurality of vehicle repair recommendation sets for a damaged vehicle, wherein each of the vehicle repair recommendation sets identifies at least one recommended vehicle repair operation of a plurality of the vehicle repair operations for the damaged vehicle; aggregating a plurality of the recommended vehicle repair operations; generating a composite vehicle repair recommendation set that identifies the aggregated recommended vehicle repair operations; and providing the composite vehicle repair recommendation set to one or more vehicle repair insurance claims management systems.

Abstract: A sensor system for acquiring a perturbation, induced by a contact patch of a tire, in data generated by a sensor system mounted in the tire, comprises at least one sensor adapted for generating the data related to a physical property of the tire, and an acquisition system comprising memory. The sensor system is adapted for triggering the acquisition system to acquire the data and for storing it in a buffer in the memory, until a predefined delay after the perturbation is recognized. The perturbation is recognized by comparing the stored data with at least one characterizing feature of the perturbation.

Abstract: In some embodiments, the present disclosure provides a network of multi-functional sensors; where, based on a quality insurance, each multi-functional sensor is positioned in, on, or in a vicinity of: a transported cargo and/or a cargo container, containing the transported cargo; where each multi-functional sensor is configured to measure particular transport-related condition, particular cargo-related condition, or both, to form cargo transport sensor data and wirelessly transmit it to a server that is configured to dynamically predict, based on the cargo transport sensor data, a predicted quality loss of the transported cargo, determine a current loss value of the transported cargo and cause one or more remedial actions that include instantaneously instructing to pay a payout amount to an owner of the transported cargo to compensate for the current loss value and/or transmitting a remedial instruction with an adjustment to the operation of one or more of a cargo transport, the cargo container, and a cargo s

Abstract: A configurable diagnostic data monitor that captures diagnostic data of a motor control system is provided. Triggers, and records generated using the triggers, are configurable using, for example, different parameters or logical operators. Triggers buffer data that can be made part of a record when a trigger condition is met. Memory used by a trigger and memory usage for records is monitored and notifications generated indicating memory required for a trigger. Configuration of a trigger can involve customized priority relative to other triggers, adjustable data parameters, a persistence parameter, and configurable saved data capture for rate and duration.

Abstract: A computing system has a first processing device (e.g., CPU, FPGA, or GPU) and memory regions (e.g., in a DRAM device) used by the processing device during normal operation. In one approach, the computing system is configured to: collect data associated with operation of an autonomous vehicle; monitor, by a first processing device, the collected data; and based on the monitoring, determine that an event on the autonomous vehicle has occurred. The computing system is further configured to, in response to determining that the event has occurred, initiate a transfer of data controlled by a second processing device, the transfer including copying data stored in volatile memory of the autonomous vehicle to non-volatile memory of the autonomous vehicle, wherein the second processing device controls copying of the data independently of the first processing device.

Abstract: Vehicle mounted Radio Frequency Identification (RFID) systems and associated methods are provided. An example vehicle mounted RFID system is configured to operate an RFID system in a high-power mode. The example vehicle mounted RFID system is further configured to determine that an operating state of a vehicle switched from an active charging state to an inactive state. The example vehicle mounted RFID system is further configured to, in response to determine that the operating state of the vehicle switched from the active charging state to the inactive state, initialize a timer for a period of time. The example vehicle mounted RFID system is further configured to, in response to an elapse of the period of time, switch the RFID system to a low-power mode.