348 results about "Telematics" patented technology

In some implementations, the techniques described herein relate to a method including: receiving a data log entry associated with a driver that includes a service provider location and a timestamp; identifying a vehicle associated with the driver based on the data log entry by identifying the vehicle includes applying a machine learning model to the data log entry and a vehicle database; loading a vehicle location log associated with the identified vehicle, the vehicle location log including a plurality of location data points and associated timestamps; computing an alternate data log entry based on the data log entry and the vehicle location log, wherein computing the alternate data log entry includes applying a rule-based optimization algorithm to a historical service provider database; and transmitting a recommendation based on the alternate data log entry, wherein the recommendation includes a geospatial visualization of the alternate data log entry.

A system and method may collect telematics and / or other data, and apply the data to insurance-based applications. From the data, an insurance provider may determine accurate vehicle usage information, including information regarding who is using a vehicle and under what conditions. An insurance provider may likewise determine risk levels or a risk profile for an insured driver (or other drivers), which may be used to adjust automobile or other insurance policies. The insurance provider may also use the data collected to adjust behavior based insurance using incentives, recommendations, or other means. For customers that option to the data collection program offered, the present embodiments present the opportunity to demonstrate a low or moderate risk lifestyle and the chance for insurance-related savings based upon that low or moderate risk.

A system and method AI-enabled telematics and actuation for electronic entertainment, simulation, training, and remote operations systems. The system and method disclosed support neuro symbolic reasoning and generative AI enabled experience generation to allow a user or collection of users to experience a wide range of realistic scenarios where the user can pick and choose an experience that best fits their individual or collective preferences. Additionally, the system and method have wide applications to a variety of environments, including but not limited to, racing, sports, military training, vehicle and aircraft operation, and training simulations. The proposed system and method enable realistic, immersive video game, simulation, training, and remote operations environments which are applicable to a wide range of devices, platforms, and mediums for recreational, commercial, industrial, and security uses.

Methods by a telematics device and a telematics device for simplifying captured telematics data and providing near real-time data points to a telematics server. Simplifying the data uses an algorithm that prioritizes primary data while providing timely secondary data under various conditions. In some implementations, a data simplification method is applied to partially filled data captured buffers containing secondary data. In some implementations, partially filled data capture buffers are processed if data points of that data type have not been selected for sending or if the data capture buffers are filled over a particular threshold. In some implementations, data points having an estimate error greater than an estimate error threshold are selected for sending to the telematics server.

A fleet of all-electric, battery powered industrial or commercial mobile power units (MPUs) or equipment is provided. Systems and methods for managing the fleet of equipment is also provided. Observable data, such as i) equipment performance and health data, ii) electricity cost data, iii) telematic data, and iv) scheduling data, can be used by machine learning models to optimize fleet management and decision making. The machine learning model can be configured to generate suggested actions, commands, or decisions which are transmitted to fleet managers who are responsible for activities such as i) equipment charging and maintenance, ii) equipment delivery logistics, and iii) rental pricing strategy. Feedback data from the outcome of these decisions, or the completion of the related activities, can tracked and used to update the machine learning model. Interactive portals may also be utilized by customers to make reservations and managers to manage reservations, monitor the fleet of equipment and provide support to MPUs across the product lifecycle.

Methods, systems, and storage media for securely transmitting information are disclosed. Exemplary implementations may: receive a user identification token from a mobile device associated with a first user; verify an identity of the first user utilizing the user identification token; provide a positive response token to the mobile device associated with the first user indicating the identity of the first user has been verified; based on providing the positive response token, receive telematics data, the user identification token, and a timestamp from the mobile device associated with the first user; normalize the received telematics data; based on privacy settings derived from the mobile device associated with the first user, receive permission, from the first user, to share the normalized telematics data; and based on receiving permission, from the first user, to share the normalized telematics data, transmitting at least a portion of the normalized telematics data to a second user.

A diagnostic translation system for a vehicle includes a telematics device configured to communicate with a backend server via a network, a CAN bus in signal communication with one or more electronic vehicle systems, and a controller having one or more processors and a non-transitory computer-readable storage medium. Diagnostic trouble code (DTC) translation files are preloaded onto the non-transitory computer-readable storage medium. The controller is programmed to request and receive, via the CAN bus, raw DTCs from the one or more electronic vehicle systems, and perform, using the DTC translation files, a local real-time diagnostic translation of the raw DTCs into a human-understandable format.

A system is described including a telematics sensor configured to record telematics data related to a vehicle; one or more camera sensors situated within a dash-mounted camera housing installed within the vehicle, the one or more camera sensors configured to capture video frames; an atomic event identifier including one or more of a driver-facing perception ML module, a road-facing perception ML module, a telemetry ML module and a personalized driving context and history module; and an edge processor situated within the dash-mounted camera housing, the edge processor configured to: receive the video frames and the telematics data; determine whether a vehicle speed exceeds a predetermined threshold based on an output of the telematics sensor; when the vehicle speed exceeds the predetermined threshold, process the video frames and telematics data through the atomic event identifier to detect one or more atomic events; calculate a Driver Fatigue Index (DFI) score by aggregating detected atomic events with configurable weights; generate a drowsiness / fatigue event when the DFI score exceeds a configurable threshold; and trigger an in-cab alert in response to the generated drowsiness / fatigue event.

The present subject matter relates generally to a driver assistance system and method for a vehicle. The driver assistance system includes a vehicle having a plurality of sensors, a telematics unit to communicate vehicle level data to the surroundings of the vehicle, a display device to display the vehicle level data, a server, and a smart device. The smart device communicates with the server on a first network and with the display device on a second network. The vehicle, the server, and the smart device communicates through each other via communication network. The invention is based on smart device interface with different communication devices to provide the user with real time vehicle, environmental data, and user related data.

A system and method of generating a virtual race course including a starting line and a finish line for vehicles located within a location determined to have optimal conditions for input GPS coordinates, the system and method utilizing vehicle telematics to create a vehicle wagering network by connecting vehicles to mapping and traffic data.

An assisted driving system includes: inputs configured to receive sensor data, telematics data, and driver response data; an assisted driving module configured to, based on the sensor data and telematics data generate first non-urgent notification messages; and a ranking module configured to rank the first non-urgent notification messages based on the driver response data. The assisted driving module is configured, based on the ranking of the first non-urgent notification messages, to output via at least one output device the first non-urgent notification messages such that saliency of each of the first non-urgent notification messages is based on the respective ranking of that non-urgent notification message.

A control system for a vehicle containing a window, door, tailgate, or trunk lid that can be selectively opened by a latch and / or actuator. The control system includes a weather sensing module configured to receive a vehicle location generated by the vehicle's GPS system and to retrieve weather data for that location using a telematics system. A controller contains a weather data processing module configured to receive the weather data and, in response to the weather data, adjust an operating parameter of the latch and / or actuator. The controller then instructs the latch and / or actuator to open the door, tailgate, or trunk lid, respectively, in response to an opening command, using the configured operating parameters.

A method for running a telematics service via a Telematic Control Unit (TCU) of a vehicle is disclosed. The method includes measuring one or more temperatures at the TCU, Comparing the measured temperatures with one or more thresholds, and determining whether or not to run the telematics service depending on a result of the comparison between the measured and threshold temperatures as well as a delay-sensitivity of the telematics service.

Provided herein is a modeling computing device including a processor in communication with a memory device. The processor is configured to: (i) retrieve, from the at least one memory device, historical data associated with a plurality of users, wherein the historical data includes historical liability amount data and historical user data, and wherein the historical user data includes at least one of historical personal information, historical vehicle telematics data, and historical environmental data, (ii) generate a model that relates the historical liability amount data and the historical user data, (iii) store the model in the at least one memory device, (iv) collect current user data associated with a candidate user, wherein the current user data includes current personal information, current vehicle telematics data, and current environmental data, and (v) analyze the collected current user data using the generated model.

The application discloses a kind of vehicle-road cooperation information interaction management systems, it is related to vehicle-road cooperation information interaction management technical field, including, data acquisition module: collection vehicle sensor data, infrastructure data and telematics data;Preprocessing module: the data collected is preprocessed;Data fusion module: data is fused;Environment perception module: the data after fusion is environment perception, generates global environment perception graph;Behavior prediction module: behavior prediction is carried out based on global environment perception graph;Risk assessment module: risk assessment is carried out according to behavior prediction result;Early warning module: early warning signal is generated based on risk assessment result;The application has beneficial effects: the efficient fusion of multi-source heterogeneous data is realized, accurate global environment perception graph is generated, the perception ability to dynamic change in complex traffic environment is improved, and the reliability of behavior prediction and risk assessment is significantly enhanced.

A refuse vehicle includes a first controller area network (CAN) bus for body functions of the refuse vehicle. The refuse vehicle also includes multiple controllable elements of a body of the refuse vehicle communicably coupled with the first CAN bus. The refuse vehicle includes a second CAN bus for chassis functions of the refuse vehicle. The refuse vehicle includes multiple controllable elements of a chassis of the refuse vehicle communicably coupled with the second CAN bus. The refuse vehicle includes a telematics module communicably coupled with both the first CAN bus and the second CAN bus. The telematics module is configured to monitor communications on both the first CAN bus and the second CAN bus and transmit the communications to a cloud computing system. The first CAN bus and the second CAN bus are communicatively separate and do not communicate with each other directly.

A driving assistance system of a host vehicle is disclosed. The driving assistance system includes: a telematics module configured to receive messages from one or more network devices separate from the host vehicle; a driving assistance module configured to receive on-board sensor data; and an awareness module configured to i) determine a critical action to perform, ii) determine a series of favorability and feasibility metric evaluation points (FFEPs), iii) based on the messages and the on-board sensor data, evaluate and rank favorability and feasibility metrics for each of the FFEPs to determine a highest ranking FFEP, and iv) based on the highest ranking FFEP, notify an occupant of the host vehicle of the critical action expected to be performed and information regarding the critical action.

A computer-implemented method comprising: receiving telematics data and mobile device interaction data collected by a mobile device for one or more vehicle trip segments; analyzing telematics data to identify one or more driving events during the one or more vehicle trip segments; correlating the telematics data and the mobile device interaction data to determine a pattern of usage of the mobile device associated with the one or more driving events; determining whether a user of the mobile device is a driver of a vehicle during the one or more vehicle trip segments based at least in part on the pattern of mobile device usage; and when the user of the mobile device is determined to be the driver of the vehicle during the one or more vehicle trip segments, transmitting an instruction to a remote server, wherein the instruction comprises a determination that the user of the mobile device is the driver of the vehicle.

Data processing techniques and systems for processing telematics data associated with a vehicle, such as an automobile, to classify how the vehicle is being operated by a driver. The telematics data can include the use of image data captured by a camera of the vehicle. The image data is processed in conjunction with vehicular telematics data such as position, speed, and acceleration data of the vehicle obtained from, for example, smartphone sensors. The image data is processed and used by a processing system to provide a context for the telematics data. The image data and the telematics data are classified by the processing system to identify driving behavior of the driver, determine driving maneuvers that have occurred, scoring driving quality of the driver, or a combination of them.

The invention provides a vehicle configuration updating method, system and device, a medium and a program product, and relates to the technical field of vehicles or the technical field of Internet of Vehicles. The method is applied to a vehicle, the vehicle comprises a vehicle-mounted telematics terminal T-box agency, and the method comprises the following steps: reporting actual access point routing table configuration of a T-box in the vehicle to a cloud through the T-box agency; the cloud supports a user to define an expected access point routing table configuration of the T-box; the target state of the target configuration is acquired through the T-box proxy, the target configuration comprises any one or more configuration contents in the access point routing table configuration of the T-box, and the target state of the target configuration is issued when the cloud determines that the actual state of the target configuration in the T-box is inconsistent with the expected target state; the target state indicates an expected target of target configuration defined in the cloud; and updating the access point routing table configuration of the T-box based on the target state of the target configuration. Based on the method, the real-time and dynamic updating of the access point routing table configuration can be realized.

System (100) comprising the following: a telematics control unit (114) and a control unit (108) connected to the telematics control unit (114) and several capacitive sensors (106), which is configured, to access notification settings (116) to determine a mobile device (118) to notify of a rain situation identified using the sensors (106); to instruct the telematics control unit (114) to send a rain warning to the mobile device (118) to receive confirmation to perform rain situation actions; To close vehicle doors in response to receiving confirmation; and to instruct the telematics control unit (114) to send a closing confirmation (608) indicating the rain situation actions performed to the mobile device (118); a vehicle control unit display (502) wherein the telematics control unit (114) is configured to display a user interface (500) for configuring the notification settings (116) on the vehicle control unit display (502) and to update the notification settings (116) in response to an input into the user interface (500); setting the notification settings (116): (i) which of the vehicle openings are to be closed in response to receiving the confirmation and (ii) which vehicle doors are to be unlocked in response to receiving the confirmation.

A computer-implemented method can include determining, based at least in part upon telematics data associated with one or more real trips by a user operating a real vehicle, a plurality of skill points associated with a plurality of real skills. The method can also include generating one or more virtual occurrences to be encountered by a virtual character having a plurality of virtual ratings associated with a plurality of virtual skills. The method can further include determining one or more outcomes associated with the one or more virtual occurrences. The method can additionally include determining a first quantity of a first virtual resource at least for obtaining outcome-modifying items. The method can also include updating a character profile of the virtual character with a selected outcome-modifying item obtained with the first quantity of the first virtual resource. The method can further include presenting the character profile, as updated, to the user. Other embodiments are disclosed.

Provided herein is a damage prevention and mitigation (DPM) computing device including at least one processor in communication with a memory device. The at least one processor may be configured to identify a plurality of property parameters associated with a property wherein the property parameters are associated with one of a structure and design of the property; receive, via one or more telematics sensors, property telematics data; determine one or more damage factors associated with the property, wherein each damage factor includes an aspect of the property that increases a likelihood of the property incurring some damage; and generate a damage profile for the property based upon the determined damage factors, wherein the damage profile includes at least (a) one or more recommendations to address the damage factors and mitigate the likelihood that the property will incur damage, and (b) an insurance coverage amount for the property.

The invention discloses a log collection method, device and equipment and a readable storage medium, and the method comprises the steps: obtaining a scoring factor of a vehicle end log generated in the operation process of a vehicle, the scoring factor comprises at least one of a business factor, a timeliness factor and a scene factor, the business factor is determined based on the log type of the vehicle end log, and the timeliness factor is determined based on the log type of the vehicle end log; the timeliness factor is determined based on the generation time of the vehicle end log, and the scene factor is determined based on the generation scene of the vehicle end log; according to the scoring factor, calculating a value score of the vehicle end log, the value score being used for representing importance of the vehicle end log; and under the condition that the stored resource quantity of a vehicle-mounted telematics control unit TBOX of the vehicle is greater than a first stored resource quantity and the value score of the vehicle end log is greater than a first score, storing the vehicle end log to the vehicle-mounted telematics control unit TBOX of the vehicle. According to the method, the key log collection effect is improved.

A computer-implemented method includes a computer-implemented method can include receiving telematics data comprising information related to one or more driving behaviors of a user. The telematics data is received from one or more sensors located in a vehicle when the user is operating the vehicle. The method also can include determining one or more user characteristics of the user based at least on the telematics data. The method additionally can include selecting an advertisement from a plurality of advertisements based at least on the one or more user characteristics. Other embodiments are described.

The application is suitable for the field of automobile technology, and provides a vehicle window control method and device, a terminal device and a vehicle, which comprises the following steps: when a vehicle window action trigger event is detected, obtaining related information of the vehicle window action trigger event, the related information comprising a vehicle window control instruction of the vehicle window action trigger event and a vehicle window action trigger source; performing a holding process on the vehicle window control instruction to continuously send the vehicle window control instruction to a bus until a next vehicle window action trigger event is detected; continuously sending a trigger source signal to the bus according to the vehicle window action trigger source until the next vehicle window action trigger event is detected. In this way, the vehicle-mounted telematics processor can collect the vehicle window control instruction, so that the data management background can record the related information of the vehicle window control instruction, when receiving a user's fault complaint, the fault source can be determined through the related information of the vehicle window control instruction recorded in the data management background, and the efficiency and accuracy of fault troubleshooting are improved.

A system comprising a work machine and an attachment. The work machine includes one or more machine sensors configured to obtain machine data related to one or more components of the work machine. The attachment is configured to be removably coupled to the work machine. The attachment includes an identification module configured to wirelessly transmit identification information to the work machine when the attachment is coupled to the work machine. The work machine is configured to determine one or more attachment characteristics of the attachment based on the identification information transmitted to the work machine from the identification module.

A vehicle includes an on-hoard satellite navigation device, a telematics control unit, a non-transitory computer readable medium, and a processor. The on-board satellite navigation device is in communication with a global positioning system unit to acquire real-time information regarding conditions near the vehicle's vicinity. The telematics control unit is in wireless communications to a cloud services or a vehicle network to upload and receive crowdsourced information regarding conditions near the vehicle's vicinity. The non-transitory computer readable medium stores predetermined information regarding conditions near the vehicle vicinity. The processor is programmed to output one or more complexity values related to the vehicle's vicinity during vehicle travel based on one or more of the real-time information, the crowdsourced information and the predetermined information.

Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and / or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and / or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.

1. The name of the design product: electronic device's telematics privacy policy viewing graphical user interface. 2. The use of the design product: an electronic device. 3. The design points of the design product: the interface content in the graphical user interface. 4. The picture or photo that best indicates the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: telematics privacy policy viewing for the vehicle-mounted system. 7. The human-computer interaction mode of the graphical user interface: design 1 front view and design 2 front view are the pages for system general settings. Click the "XX car telematics privacy policy" right "symbol" below the design 1 front view, enter the design 1 change state diagram, and view the telematics privacy policy. Click the "XX car telematics privacy policy" right "symbol" below the design 2 front view, enter the design 2 change state diagram, and view the telematics privacy policy.