Abstract: A system, method, and autonomous vehicle (AV) that generates a row-based world model for perceptive navigation of an AV are described. The system includes a client device, a cloud component, and the AV. The client device receives a map image of a field having a plurality of rows, in which each row includes a plurality of plants. The cloud component then generates a row-based frame of reference, in which each row has an associated frame of reference that includes a distance. A location is determined based on a row number and the distance associated with the row number. The cloud component also associates a semantic instruction with the row-based world model, and the cloud component communicates the row-based world model to the AV.

Abstract: A system, method, and autonomous vehicle (AV) that executes an AV mission plan for a field having plants that follow a row are described. The system includes a cloud component that generates a row-based world model with row-based frames of reference. A semantic user instruction associated with the AV mission plan is received. The semantic user instruction is associated with the row-based world model and generates the AV mission plan. The AV receives the AV mission plan from the cloud component. The AV executes the AV mission plan and completes the AV mission plan. The AV then uploads the AV information gathered from the AV mission plan to the cloud component. The cloud component geocodes the location of each feature with the row-based world model so that the feature includes at least one row number and at least one distance associated with the row number.

Abstract: An Autonomous Vehicle (AV) system and method are described. The AV system is capable of determining a motor control command associated with an AV trajectory. The AV system includes a content generating device, a system controller, and an AV sensor. The content generating device collects target data associated with a target. The system controller is communicatively coupled to the content generating device. The system controller extracts target features from the target data. Also, the system controller compares the extracted target features to target model data to determine a target pose. Additionally, the system controller determines the AV trajectory by comparing the target pose with at least one target objective. The AV sensor determines an AV state. The system controller determines a motor control command associated with the AV trajectory based on the AV state, the target objective, and the AV trajectory.

Abstract: An agricultural navigation system and method for an autonomous vehicle (AV) is described. The agricultural navigation system includes a system controller, a localization module associated with the system controller, and an environmental sensor. The system controller determines an AV positional pose that identifies the location of the AV. The system controller determines a relative body frame of reference (RBF) that is associated with the AV positional pose. The environmental sensor detects an asset feature in the AV environment. The asset feature includes an agricultural asset feature having a crop row. The system controller identifies at least one asset feature frame (AFF) that includes a coordinate system originating at the asset feature. The localization module determines the AV positional pose in the coordinate system of the AFF. The system controller transforms the AV positional pose from the RBF coordinate system to the coordinate system of the AFF.

Abstract: A remote patient monitoring system and method collects patient healthcare information to create a digital healthcare representation. The remote patient monitoring system communicatively couples various medical devices through a remote healthcare gateway (RHG) to a cloud-base management server, so that the output of those medical devices may be integrated into the digital healthcare representation in real-time. A subset of the digital healthcare representation is used to generate a replicate model which is communicatively coupled to a third party cloud component.

Abstract: An agricultural navigation system and method for an autonomous vehicle (AV) is described. The agricultural navigation system includes a system controller, a localization module associated with the system controller, and an environmental sensor. The system controller determines an AV positional pose that identifies the location of the AV. The system controller determines a relative body frame of reference (RBF) that is associated with the AV positional pose. The environmental sensor detects an asset feature in the AV environment. The asset feature includes an agricultural asset feature having a crop row. The system controller identifies at least one asset feature frame (AFF) that includes a coordinate system originating at the asset feature. The localization module determines the AV positional pose in the coordinate system of the AFF. The system controller transforms the AV positional pose from the RBF coordinate system to the coordinate system of the AFF.

Abstract: An Autonomous Vehicle (AV) system is described. The AV system is capable of determining at motor control command associated with an AV trajectory. The AV system includes a content generating device, a system controller, and an AV sensor. The content generating device collects target data associated with a target. The system controller is communicatively coupled to the content generating device. The system controller extracts target features from the target data. Also, the system controller compares the extracted target features to target model data to determine a target pose. Additionally, the system controller determines the AV trajectory by comparing the target pose with at least one target objective. The AV sensor determines an AV state. The system controller determines a motor control command associated with the AV trajectory based on the AV state, the target objective, and the AV trajectory.

Abstract: A navigation system and method for an autonomous vehicle (AV) that includes a system controller and an environmental sensor. The system controller determines a fixed local frame (LCF) having a coordinate system originating at a fixed location in three-dimensional space. Additionally, the system controller determines an AV positional pose in LCF coordinates, which identifies an AV position in three-dimensional space and an AV orientation in three-dimensional space. An environmental sensor detects an asset feature of an asset moving within three-dimensional space. The system controller then identifies an asset feature frame (AFF) having a coordinate system originating at the asset feature. A localization module determines the AV positional pose in the AFF coordinates. The system controller then dynamically transforms the AV position pose from the LCF coordinates to the AFF coordinates and generates a motion control command based on the AV positional pose in the AFF coordinates.

Abstract: An Autonomous Vehicle (AV) system is described. The AV system is capable of determining at motor control command associated with an AV trajectory. The AV system includes a content generating device, a system controller, and an AV sensor. The content generating device collects target data associated with a target. The system controller is communicatively coupled to the content generating device. The system controller extracts target features from the target data. Also, the system controller compares the extracted target features to target model data to determine a target pose. Additionally, the system controller determines the AV trajectory by comparing the target pose with at least one target objective. The AV sensor determines an AV state. The system controller determines a motor control command associated with the AV trajectory based on the AV state, the target objective, and the AV trajectory.

Abstract: Systems and methods for determining an Automated Vehicle (AV) trajectory are described. More particularly, a method for determining an AV trajectory proceeds by communicatively coupling an AV content generating device to an AV system controller. The AV content generating device collects target data associated with a target. The AV system controller extracts target features from the target data. The AV system controller compares the extracted target features to target model data to determine a target pose. The AV system controller compares the target pose with at least one target objective to determine an AV trajectory.

Abstract: A remote patient monitoring system and method collects patient healthcare information to create a digital healthcare representation. The remote patient monitoring system communicatively couples various medical devices through a remote healthcare gateway (RHG) to a cloud-base management server, so that the output of those medical devices may be integrated into the digital healthcare representation in real-time. A subset of the digital healthcare representation is used to generate a replicate model which is communicatively coupled to a third party cloud component.

Abstract: A navigation system and method for an autonomous vehicle (AV) that includes a system controller and an environmental sensor. The system controller determines a fixed local frame (LCF) having a coordinate system originating at a fixed location in three-dimensional space. Additionally, the system controller determines an AV positional pose in LCF coordinates, which identifies an AV position in three-dimensional space and an AV orientation in three-dimensional space. An environmental sensor detects an asset feature of an asset moving within three-dimensional space. The system controller then identifies an asset feature frame (AFF) having a coordinate system originating at the asset feature. A localization module determines the AV positional pose in the AFF coordinates. The system controller then dynamically transforms the AV position pose from the LCF coordinates to the AFF coordinates and generates a motion control command based on the AV positional pose in the AFF coordinates.

Abstract: A navigation system and a navigation method for an autonomous vehicle (AV) includes a system controller and an environmental sensor. The system controller determines an AV positional pose, which identifies the location of the AV, which further includes an AV position and an AV orientation in three-dimensional space. Additionally, the system controller determines a frame of reference that is associated with the AV positional pose. The frame of reference includes a coordinate system for the AV position and the AV orientation. A localization module determines the AV positional pose and the corresponding frame of reference. The localization module is associated with the system controller. The system controller then identifies at least one asset feature frame (AFF), which associates the AV positional pose with the feature in the AV environment. The system controller generates a motion control command based the AV positional pose and the AFF.

Abstract: Systems and methods for collecting and geocoding object data are described. More particularly, a system for collecting and geocoding object data includes an AV, a chronicle server, and a user device. The AV receives a mission specification that includes a route to be traversed by the AV. The AV traverses the route and collects object data along the way. The AV collects location data along the route.

Abstract: Systems and methods for collecting and geocoding object data are described. More particularly, a system for collecting and geocoding object data includes an AV, a chronicle server, and a user device. The AV receives a mission specification that includes a route to be traversed by the AV. The AV traverses the route and collects object data along the way. The AV collects location data along the route. The chronicle server receives the object data and the location data from the content generating device. The object data and the location data are associated with a geocoded object (GLOB). The chronicle server generates a GLOB chronicle from a plurality of GLOBs, in which a time is associated with each of the GLOBs and a location is associated with each of the GLOBs. A user device displays the GLOB.

Abstract: A navigation system and a navigation method for an autonomous vehicle (AV) includes a system controller and an environmental sensor. The system controller determines an AV positional pose, which identifies the location of the AV, which further includes an AV position and an AV orientation in three-dimensional space. Additionally, the system controller determines a frame of reference that is associated with the AV positional pose. The frame of reference includes a coordinate system for the AV position and the AV orientation. A localization module determines the AV positional pose and the corresponding frame of reference. The localization module is associated with the system controller. The system controller then identifies at least one asset feature frame (AFF), which associates the AV positional pose with the feature in the AV environment. The system controller generates a motion control command based the AV positional pose and the AFF.

Abstract: A system and method for presenting user generated digital information. The system includes geo-located objects (GLOBs), GLOB Data Sheets (GDSs), a grouping of GLOBs, an implicit location module and a display device. The plurality of geo-located objects (GLOBs) includes at least one GLOB having a geographic location tag generated by a location component. Each GLOB Data Sheets (GDSs) among the plurality of GDSs is associated with a GLOB among the plurality of GLOBs. The grouping of GLOBs is configured to be organized based on location. The implicit location module geocodes at least one digital information objects that does not have a corresponding location by interpolating along a path between a first GLOB that has a first location determined with a first geographic location tag and a second GLOB that has a location determined with a second geographic location tag. The display device presents the organized grouping of GLOBs.

Abstract: A system and device that communicates critical resource information is described. The resource notification system comprises a resource distributor, a resource notification server, and a networked interface device. The resource distributor generates a demand response action that is associated with a particular resource. The resource distributor is also communicatively coupled to a wide area network. The resource notification server, which is also communicatively coupled to the wide area network, receives and processes the demand response action and generates a demand response event signal that is communicated to a customer list. The networked interface device comprises at least one indicator. The networked interface device receives the demand response event signal that triggers at least one indicator corresponding to the demand response action generated by the resource distributor, wherein the indicator provides a real-time indication that corresponds to the usage of the particular resource.

Abstract: A system and method for generating a virtual tour on a display device is described. The method comprises providing at least one map. The method further comprises providing a plurality of sequenced images, wherein each of the images is associated with at least one location by a geo-coding module configured to generate a geo-location object data sheet that associates sequential images with a corresponding location. The sequenced images are organized based on the location of each of the sequenced images and displayed on the map. The method is implemented by the system.

Abstract: A system and method for generating a virtual tour on a display device is described. The method comprises providing at least one map. The method further comprises providing a plurality of sequenced images, wherein each of the images is associated with at least one location by a geo-coding module configured to generate a geo-location object data sheet that associates sequential images with a corresponding location. The sequenced images are organized based on the location of each of the sequenced images and displayed on the map. The method is implemented by the system.