Abstract: A system and method for automating and improving data extraction from a variety of document types, including both unstructured, structured, and nested content, is disclosed. The system and method incorporate an intelligent machine learning model that is designed to intelligently identify chunks of text, map the fields in the document, and extract multi-record values. The system is designed to operate with little to no human intervention, while offering significant gains in accuracy, data visualization, and efficiency. The architecture applies customized techniques including density-based adaptive text clustering, tabular data extraction based on hierarchical intelligent keyword searches, and natural language processing-based field value selection.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for distributed vehicle navigation processing for a vehicle. For instance, the method may include: by the vehicle: obtaining reference data from one or a combination of an imaging system, an antenna system, and/or a radar system of the vehicle; in response to obtaining the reference data, determining whether a GNSS signal is below a threshold; and in response to determining the GNSS signal is below the threshold, transmitting a navigation supplementation request message including the reference data to an edge node or a cloud node. By the edge node or the cloud node: in response to receiving the navigation supplementation request message from the vehicle, performing a position resolution process to determine and transmit a position of the vehicle by one or more functions. By the vehicle: performing a navigation control process based on the determined position.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for vehicle navigation processing. For instance, the method may include scanning for one or more terminals within a predetermined vicinity of the vehicle via a low latency communication network and receiving positional data of the one or more terminals via the low latency communication network. The method may further include receiving directional data of the one or more terminals relative to the vehicle, determining a first location of the vehicle relative to the one or more terminals based on the directional data, and determining a second location of the vehicle relative to the environment based on the positional data and the first location.

Abstract: A system and method for automating and improving data extraction from a variety of document types, including both unstructured, structured, and nested content, is disclosed. The system and method incorporate an intelligent machine learning model that is designed to intelligently identify chunks of text, map the fields in the document, and extract multi-record values. The system is designed to operate with little to no human intervention, while offering significant gains in accuracy, data visualization, and efficiency. The architecture applies customized techniques including density-based adaptive text clustering, tabular data extraction based on hierarchical intelligent keyword searches, and natural language processing-based field value selection.

Abstract: Methods and systems are provided for assisting operation of a vehicle using speech recognition. One method involves analyzing a transcription of an audio communication with respect to the vehicle to characterize a nonstandard pattern within the transcription of the audio communication, obtaining a ground truth for the transcription of the audio communication, determining one or more performance metrics associated with the nonstandard pattern within the transcription based on a relationship between the transcription of the audio communication and the ground truth for the transcription, updating a speech recognition vocabulary for the vehicle to include the nonstandard pattern based at least in part on the one or more performance metrics and determining an updated speech recognition model for the vehicle using the updated speech recognition vocabulary and the audio communication.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for vehicle navigation processing. For instance, the method may include scanning for one or more terminals within a predetermined vicinity of the vehicle via a low latency communication network and receiving positional data of the one or more terminals via the low latency communication network. The method may further include receiving directional data of the one or more terminals relative to the vehicle, determining a first location of the vehicle relative to the one or more terminals based on the directional data, and determining a second location of the vehicle relative to the environment based on the positional data and the first location.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for distributed vehicle navigation processing for a vehicle. For instance, the method may include: by the vehicle: obtaining reference data from one or a combination of an imaging system, an antenna system, and/or a radar system of the vehicle; in response to obtaining the reference data, determining whether a GNSS signal is below a threshold; and in response to determining the GNSS signal is below the threshold, transmitting a navigation supplementation request message including the reference data to an edge node or a cloud node. By the edge node or the cloud node: in response to receiving the navigation supplementation request message from the vehicle, performing a position resolution process to determine and transmit a position of the vehicle by one or more functions. By the vehicle: performing a navigation control process based on the determined position.