Abstract: A footpad for a ladder, provided herein, includes a top side and a bottom side, the bottom side defining treading, and a front side, a rear side, an inner side, and an outer side. The bottom side of the footpad is curved, defining a first curvature from the inner side to the outer side and a second curvature from the front side to the rear side. Another footpad for a ladder provided herein includes a lip extending upwardly to engage a cover component of a ladder foot. Ladder foot assemblies and ladders with the footpads are also provided.

Abstract: A computer-implemented method for decoding speech, language and related semantic neural activity includes: collecting neural signals from an array of electrodes implanted in or on a brain; extracting features from the neural signals to detect distributed signatures of linguistic encoding using non-contiguous coverage of the electrode array; and decoding linguistic units, including phonemes and semantic embeddings from the extracted features. The decoding can utilize a custom neural language model for a limited or impaired brain adapted from a generalized neural language model trained on other human brains with intact speech, linguistic and cognitive regions.

Abstract: An agricultural vehicle can include one or more sensors, a first controller, and a second controller. The first controller can receive first data from the one or more sensors, determine a difference between a heading of the agricultural vehicle and a path to take along the crop row, generate a prediction of an adjustment to the heading of the agricultural vehicle to align the agricultural vehicle with the path to take along the crop row, transmit one or more signals to control the agricultural vehicle to cause the agricultural vehicle to align with the path, and store second data to indicate a plurality of paths taken by the agricultural vehicle along the crop row. The second controller can generate a second path for the agricultural vehicle to take along the crop row at one or more subsequent points in time.

Abstract: Systems and apparatuses include a controller for generating a navigational vector for automatically operating a work vehicle along a guidance trajectory; receiving positional data associated with a positional state of the work vehicle; estimating a ground position of an approaching divagation condition in the guidance trajectory of the work vehicle based on the positional data; and adjusting one or more operating parameters of the work vehicle prior to arriving at the ground position to compensate for the approaching divagation condition.

Abstract: A system may receive, by a controller onboard a work vehicle that is positionally coupled to the implement, a location data associated with a ground position of the implement; determine, the ground position of the implement based at least on the location data associated with the ground position of the implement; determine a ground position of the work vehicle relative to the implement based at least on the received location data associated with the ground position of the implement; determine a deviation of the ground position of the implement from a desired course based on the ground position of the implement exceeding a threshold; responsive to determining that the deviation of the ground position of the implement from the desired course exceeds the threshold, adjusting one or more operating parameters of the work vehicle to adjust the ground position of the work vehicle relative to the implement.

Abstract: An agricultural vehicle can include a first controller and a second controller. The first controller can receive first information that indicates a position of the agricultural vehicle relative to a swath, retrieve second information that indicates one or more parameters of the agricultural vehicle, generate a path for the agricultural vehicle to travel to reach the swath, and transmit one or more signals to indicate the path for the agricultural vehicle. The second controller can monitor movement of the agricultural vehicle as the agricultural vehicle travels to the swath, detect a deviation from the path, and generate one or more second signals to control subsequent movement of the agricultural vehicle.

Abstract: An agricultural vehicle includes a steering input device configured to steer the agricultural vehicle to perform a turn. The agricultural vehicle includes a steering control system configured to operate the steering input device. The steering control system includes processing circuitry. The processing circuitry is configured to receive a steering input indicating a curvature to be performed by the agricultural vehicle. The processing circuitry is configured to operate the steering input device using a primary curvature model of the agricultural vehicle and the steering input. The primary curvature model of the agricultural vehicle is configured to predict a steering condition of the steering input device to perform the steering input. The primary curvature model comprising a non-linear relationship between curvatures and steering conditions of the steering input device.

Abstract: An agricultural vehicle includes a steering system configured to operate to steer the agricultural vehicle to perform a turn. The agricultural vehicle includes processing circuitry. The processing circuitry is configured to obtain an input indicating a specific turn to be performed by the steering system. The processing circuitry is configured to control the steering system of the agricultural vehicle to implement the specific turn based on the input and a model of the steering system of the agricultural vehicle while accounting for a time delay of the steering system due to slop of the steering system.

Abstract: A system and a method for controlling an agricultural vehicle includes receiving sensor information for the agricultural vehicle from one or more sensors, determining a change in a state of the agricultural vehicle based on the sensor information, determining a change in a physical parameter of the agricultural vehicle based on the change in the state of the agricultural vehicle, updating an auto-guidance controller for the agricultural vehicle based on the change in the physical parameter of the agricultural vehicle, and controlling an operation of the agricultural vehicle based on the updated auto-guidance controller.

Abstract: Computer vision systems and methods for automatic parcel alignment are provided. The system receives a geotagged aerial image, parcel information, and semantic information where each of the parcel and semantic information are overlaid on the geotagged aerial image. The system cleans the parcel information and the semantic information. The system optimizes the parcel information by grouping geo-registered parcels present in the geotagged aerial image into a plurality of islands and generating a plurality of parcel alignment solutions for each island of the plurality of islands. The system refines the plurality of parcel alignment solutions for each island and regularizes each island. The system generates a composite parcel alignment solution based on the refined plurality of parcel alignment solutions for each regularized island to align the geo-registered parcels of each regularized island with the geotagged aerial image.

Abstract: Systems and methods utilizing machine vision for tracking and assisting an individual within a venue are provided herein. The method tracks a location of an individual associated with a container and detects at least one of the container or at least one object within the container present in captured first image data. The method identifies at least one of the at least one object or a region of interest associated with the container and determines, based on the identification, at least one of a value of at least one attribute of the at least one object or first and second sub-areas of the region of interest. The method determines whether at least one of the value of the at least one attribute is greater than a first threshold or a ratio of the first and second sub-areas is less than a second threshold and generates and transmits a notification to a device based on the determination.

Abstract: The present invention relates to novel small molecules Formula I and pharmaceutically acceptable salts thereof as well as the preparation and the use thereof to inhibit FGF13-1b.

Abstract: Computer vision systems and methods for automatic parcel alignment are provided. The system receives a geotagged aerial image, parcel information, and semantic information where each of the parcel and semantic information are overlaid on the geotagged aerial image. The system cleans the parcel information and the semantic information. The system optimizes the parcel information by grouping geo-registered parcels present in the geotagged aerial image into a plurality of islands and generating a plurality of parcel alignment solutions for each island of the plurality of islands. The system refines the plurality of parcel alignment solutions for each island and regularizes each island. The system generates a composite parcel alignment solution based on the refined plurality of parcel alignment solutions for each regularized island to align the geo-registered parcels of each regularized island with the geotagged aerial image.

Abstract: An agricultural vehicle includes a steering system configured to operate to steer the agricultural vehicle to perform a turn. The agricultural vehicle includes processing circuitry. The processing circuitry is configured to obtain an input indicating a specific turn to be performed by the steering system. The processing circuitry is configured to control the steering system of the agricultural vehicle to implement the specific turn based on the input and a model of the steering system of the agricultural vehicle while accounting for a time delay of the steering system due to slop of the steering system.

Abstract: An agricultural vehicle includes a steering input device configured to steer the agricultural vehicle to perform a turn. The agricultural vehicle includes a steering control system configured to operate the steering input device. The steering control system includes processing circuitry. The processing circuitry is configured to receive a steering input indicating a curvature to be performed by the agricultural vehicle. The processing circuitry is configured to operate the steering input device using a primary curvature model of the agricultural vehicle and the steering input. The primary curvature model of the agricultural vehicle is configured to predict a steering condition of the steering input device to perform the steering input.

Abstract: An agricultural vehicle includes a chassis, a plurality of tractive elements, a steering input device configured to steer the agricultural vehicle to perform a turn, and a steering control system configured to operate the steering input device. The chassis includes a first chassis portion and a second chassis portion pivotably coupled to the first chassis portion. The steering control system includes processing circuitry configured to obtain steering condition data corresponding to steering conditions of the steering input device, obtain partial curvature data corresponding to curvatures of the first chassis portion, determine, based on the partial curvature data, curvature data corresponding to curvatures of the agricultural vehicle, generate, based on the steering condition data and the curvature data, a primary curvature model that determines steering condition data given commanded curvature data, and operate the steering input device using (1) the primary curvature model and (2) a given command curvature.

Abstract: A monitoring system includes a vehicle processor stores battery capacity data of a battery of a vehicle and includes a navigation application configured to provide a location of the vehicle and a vehicle route. A user device includes a display and data processing hardware in communication with the display. The data processing hardware executes a monitoring application in communication with the vehicle processor and executes a weather application including predicted weather data. The data processing hardware is configured to receive the vehicle route and provide a notification on the display of the user device corresponding to an installation attribute of a service station along the vehicle route.

Abstract: A plant and process for producing a hydrogen rich gas are provided, said process comprising the steps of: steam reforming a hydrocarbon feed into a synthesis gas; shifting the synthesis gas and conducting the shifted gas to a hydrogen purification unit, subjecting CO2-rich off-gas from the hydrogen purification unit to a carbon dioxide removal and recycling CO2-depleted off-gas rich in hydrogen to the process.

Abstract: A work vehicle includes a computing system is configured to access a swath line corresponding to a pass to be made across a field by the work vehicle. Furthermore, the computing system is configured to control the operation of the work vehicle such that the vehicle travels along the swath line to make the pass across the field. Additionally, the computing system is configured to determine an operating parameter of the work vehicle as the vehicle travels along the swath line. Moreover, the computing system is configured to adjust a portion of the swath line positioned forward of the work vehicle relative to a direction of travel of the vehicle based on the determined operating parameter as the vehicle travels along the swath line.

Abstract: A system for estimating tire parameters for an off-road vehicle in real time, the system including a processing circuit including a processor and memory, the memory having instructions stored thereon that, when executed by the processor, cause the processing circuit to measure a position of the vehicle at a first time, determine, based on the position, motion characteristics of the vehicle, predict, based on the motion characteristics, a position of the vehicle at a second time, measure a position of the vehicle at the second time, and generate a tire parameter associated with the vehicle based on the predicted position and the measured position of the vehicle at the second time.