500 results about "Telematics" patented technology

A computing device for generating on-demand products based upon real-time geolocation data is configured to receive and store at least one product definition associated with a respective product. Each product definition defines an availability of the product and includes a product availability location. The computing device is also configured to receive real-time location data from a user computing device, and periodically query a memory device with the real-time location data. The computing device detects that the user computing device has entered a first location by retrieving, in response to a successful query of the memory device, a first product definition associated with a first product having a product availability location including the first location. The computing device is also configured to generate a product identification message including at least a portion of the first product definition, and transmit the product identification message to the user computing device.

The present disclosure relates to systems and methods for retrieving telematics data. A method for retrieving telematics data may comprise operating at least one processor to: provide at least one telematics database, the at least one telematics database storing telematics data originating from a plurality telematics devices installed in a plurality of vehicles, and at least one context database, the at least one context database storing contextual information relating to the at least one telematics database; receive a natural language request from a user; generate, using a large language model (LLM) that does not have access to the at least one telematics database, an executable query for retrieving a portion of the telematics data that is responsive to the natural language request from the at least one telematics database; execute the executable query for retrieving the portion of the telematics data from the at least one telematics database; and return at least the portion of the telematics data to the user, whereby the natural language request is responded to without providing the LLM with access to the telematics data stored on the at least one telematics database and the at least one context database.

A computing system, for automated generation of instructional text for driver safety, executes steps including: 1) accessing predefined datasets of telematic alerts, of predefined alert sequences, and of sequence categories; 2) acquiring one or more alert vectors during driving, each alert associated with a time of occurrence; 3) scanning each of the one or more alert vectors, over multiple time windows, to identify a set of alert sequence occurrences matching alert sequences in the sequence dataset and conforming to predefined time windows; 4) according to the severity of each alert sequence in the identified set of alert sequences, increasing by a proportional amount a priority score of a corresponding sequence category, to generate an aggregate priority score for each sequence category; and 5) providing instructional text associated with said sequential category from a text dataset to the driver.

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.

The invention discloses a vehicle control method and device, a terminal and remote information processing equipment. The method may include: a terminal negotiating with a telematics device of a vehicle through a first link to determine a session key; encrypting the remote vehicle control instruction with the session key; the encrypted remote vehicle control instructions are sent to the telematics device over a second link, the second link being different from the first link. The first link is used when the terminal and the remote information processing equipment negotiate the session key, and then the encrypted remote vehicle control instruction is transmitted through the second link, that is, the key of the application is obtained through negotiation, the key cannot be obtained even if the cloud is attacked, and the link used for negotiating the key is different from the transmission link, so that the security of the terminal is improved. Even if the cloud is attacked under the condition that the instruction is transmitted through the cloud, an attacker cannot tamper the vehicle control instruction, so that the safety of the vehicle control method is ensured.

The present disclosure relates to a directed electric vehicle charging system for generating revenue and methods thereof. More particularly, this disclosure describes a telematics service provider that maintains relationships with charging stations and their associated stores such that revenue may be realized by directing vehicles to those charging stations. In an illustrative embodiment, the telematics service provider may receive a charge event from a vehicle and in turn, the provider provides an appropriate charging station to that vehicle. An amount spent at the charging station including its associated stores are tracked when the vehicle charges at the charging station. After completing the charging and the vehicle leaves the area, the amount spent is tallied and provided to the telematics service provider. A portion of the amount spent may then be sent to the telematics service provider for the recommended charging station.

A system for generating improved notifications relating to events is disclosed. The system includes a sensing network including an event sensor configured to sense events. The system further includes a sensed-event processing system configured to append meta data to information associated with a sensed event. The system further includes a human-machine interface and at least one communication unit configured to communicate amongst the human-machine interface, the sensing network, and the sensed event processing system, the information communicated from the sensing device via the at least one communication unit. The system further includes a notification generation system configured to generate a notification to a user of the human-machine interface, the notification content including at least one user-selectable action option. The communication unit configured to communicate the notification via the human-machine interface and select the notification content, the notification type, or the means of notification based on the meta data.

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.

A method of utilizing vehicle telematics to create a vehicle wagering network by connecting vehicles to mapping and traffic data. Connected vehicles transmitting real-time telemetric data form the basis for wagers.

Systems and methods for detecting vehicle collisions are provided. The methods involve operating at least one processor to: receive telematics data originating from a telematics device installed in a vehicle, the telematics data including acceleration data; detect a putative collision event based on the acceleration data exceeding a predetermined acceleration threshold; identify a portion of the acceleration data associated with the putative collision event, the portion of the acceleration data spanning from a time prior to the putative collision event to a time subsequent to the putative collision event; identify at least one impulse in the portion of the acceleration data based on a predetermined jerk threshold; use a trained classifier on the at least one impulse to determine that the putative collision event is a collision event; and in response to determining the collision event, trigger at least one action responsive to the collision event.

Disclosed herein are systems and methods for estimating driver efficiency. For example, 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 trip completed by at least one vehicle of the plurality of vehicles; determine an estimated trip difficulty of each trip based on a plurality of trip metrics associated therewith that relate to vehicle fuel consumption; determine, using the telematics data, a plurality of driver behavior metrics for each trip, each driver behavior metric corresponding to an action performable by a driver of the at least one vehicle; and determine, for each trip, a driver efficiency score based at least in part on the estimated trip difficulty and the plurality of driver behavior metrics thereof.

A method may include retrieving, via a processor of a computing system, insurance information associated with a user and receiving one or more alerts regarding an event that will occur within a determined radius of one or more properties within a period of time. The computing system may then determine a list of actions for the user to perform on the property based on the event and send the list of actions to a computing device associated with the user. Based on whether the user completes the list of actions, a premium rate of the user may be adjusted.

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.

Method, system, device, and non-transitory computer-readable medium for data management. In some examples, a computer-implemented method includes: collecting a plurality of personal data sets and a plurality of sensor data sets; for each vehicle operator of the plurality of vehicle operators: generating and continually updating an operator profile, one or more telematics inferences, a data profile; and listing and continually updating the data profile onto a telematics marketplace; receiving a plurality of conditional bids for a target operator profile associated with a target data profile, each conditional bid of the plurality of conditional bids including one or more conditional payments and one or more payment conditions; determining, for each conditional bid of the plurality of conditional bids, a predicted bid-generated profit or a predicted bid-generated revenue; determining a winning bid and an associated winning bidder; and transmitting the target operator profile to the winning bidder.

Described are various embodiments of a vehicle guiding system and method. In some embodiments, the system comprises an AI-augmented vehicle-specific constraints database combining multiple data sources and used for generating optimized routes. The system may further include an intermediate layer of links or interface configured to connect with known and new turn-by-turn driver tools / applications and allow the AI-augmented constraints database to be used. The system may be coupled with a plurality of telematics systems monitoring the vehicle to provide an independent feedback loop which allows the system to react in real-time, and establish performance metrics and measurements for invoicing and reporting purposes. In some embodiments, the system may be coupled to one or more traffic management subsystems or devices.

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.

A system (10) for detecting a disconnection of a vehicle system module (VSM) (28), the system (10) comprising: a memory (38) configured to include a program and a processor (36) configured to execute the program, the program enabling the processor (36) to: Detecting a separation event; and in response to detecting the separation event, collecting VSM location data; characterized in that the disconnect event is a hard-wired connection between the VSM (28) and a communication bus (58) being disconnected; wherein the disconnection event is detected when the VSM (28) has ceased to receive periodic heartbeat signals from one or more other VSMs (28) via the communication bus (58) or after the VSM (28) has transmitted a beacon test configured to indicate whether the VSM (28) is still firmly connected to one or more other VSMs (28).

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.

Systems and methods are described for analyzing user data to generate a dialogue output. The method may include: (1) receiving, by one or more processors, an indication of a user identity for a user at a generative artificial intelligence (AI) model; (2) retrieving, by the one or more processors and based upon at least the user identity, user data from one or more publicly accessible sources; (3) determining, by the one or more processors and based upon at least the user data, one or more personalization characteristics associated with at least an information retention rate for the user via the generative AI model; and (4) generating, by the one or more processors and based upon at least the one or more personalization characteristics, a personalized dialogue output (or visual or virtual output for display) for the user via the generative AI model.

Systems and methods may analyze property telematics data, with homeowner permission or affirmative consent, to update risk-based coverage of a property, such as a house, during a short-term rental. The systems include a renter analytics computing device, a plurality of property telematics devices at the property, including at least one sensor, and a property telematics controller. The renter analytics computing device is configured to retrieve a pre-rental record including parameters of a short-term rental of the property, and retrieve property telematics data, from the property telematics devices, associated with the short-term rental. The renter analytics computing device may develop a risk level profile associated with the short-term rental and determine an adjusted coverage rate to cover the property during the short-term rental. As a result, a homeowner of the property may be protected against damages incurred to the property during the short-term rental.

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 computer-implemented method of using telematics data associated with an originating vehicle at a destination vehicle is provided. The method may include receiving telematics data associated with the originating vehicle by (1) a mobile device or (2) a smart vehicle controller associated with a driver or vehicle. The mobile device or smart vehicle controller may analyze the telematics data received to determine that (i) a travel event exists, or (ii) that a travel event message or warning is embedded within the telematics broadcast received. If the travel event exits, the method may include automatically taking a preventive or corrective action, at or via the mobile device or smart vehicle controller, which alleviates a negative impact of the travel event on the driver or vehicle to facilitate safer or more efficient vehicle travel. Insurance discounts may be provided to insureds based upon their usage of the risk mitigation or prevention functionality.

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.

A method of driver behavior that includes generating, by a mobile device located inside a vehicle, telematics data associated with operation of the vehicle, and transmitting, from the mobile device to one or more processors via wireless communication, the telematics data in real-time. The method also includes analyzing the telematics data to determine whether a driving score for a driver, determining whether the driving score is greater than a threshold value, determining a discount based upon the driving score being higher than the threshold, and generating a communication based upon the discount. The method further includes transmitting the communication.

Proposed is an electronic risk measuring and scoring system, in particular for mobile telematics devices and method thereof. In particular, an electronic risk measuring and scoring system which measures an ADAS risk score measure measuring the impact of ADAS features to the accident risk associated with a motor vehicles, and which rates and calibrates a risk-transfer user-specifically thereby capturing the impact of ADAS features in measures of risk-transfer claims frequency and severity.

A factor authentication system for a vehicle having a vehicle display, a telematics device, and a vehicle controller includes a backend server configured to communicate with the vehicle and a user electronic device via a network. The backend server is configured to receive a request from the user electronic device to link the vehicle to a use case, generate one or more random questions about vehicle signals that are visible on the vehicle display, send the one or more random questions to the user electronic device, receive, from the user electronic device, user answers to the one or more random vehicle signal questions, send the user answers to the vehicle controller; and receive, from the vehicle controller, confirmation that the user answers are correct based on a comparison to local vehicle data, to thereby authenticate the vehicle and authorize the link to the use case.

Electronic display systems, including roadside display devices, vehicle-based devices, personal mobile devices, intermediary servers, advertising servers and / or networks, and / or additional external data sources may operate individually or in combination to identify one or more vehicle locations, driving routes, driver and passenger characteristics, driving behavior and patterns, telematics data, and the like. Vehicle and individual characteristics and / or telematics data may be determined based on data received from traffic cameras, vehicle-based devices, personal mobile devices, telematics devices, and / or other data sources, including software applications. Based on the vehicle characteristics, individual characteristics, driving data and driving patterns, telematics data, and the like, content, such as digital display content or audio content, may be determined for output on various devices, such as electronic roadside displays to be viewable by the approaching vehicles, and / or other devices to be accessible by associated individuals via the other devices. Various techniques may be used to determine customized content. Additionally, certain systems may be interactive to allow user responses and follow-up content via on-board vehicle devices or other user devices.