Abstract: An agricultural machine for reducing cutting head harvesting loss includes: ground engaging mechanisms such as wheels or tracks, a cutting head for harvesting crop, an image sensor configured to capture one or more images of a field of view, a light emitting device configured to emit light into the field of view, and a controller operatively coupled to at least the image sensor. The controller is configured to: receive data corresponding to one or more images of the field of view from the at least one image sensor, determine one or more reflectance values based on the received data corresponding to the one or more images, and determine an amount of grain shown in the one or more images of the field of view based on the one or more determined reflectance values.

Abstract: A control device and a method for controlling a cruise control system of a host vehicle are provided. The method comprises simulating vehicle speed of the host vehicle for an upcoming road section under a condition of a predetermined torque limitation (Tq_lim) being active, thereby determining a simulated vehicle speed profile for the host vehicle. The method optionally further comprises determining (S202) an estimated following distance profile, relative to a target vehicle, for the host vehicle for the upcoming road section based on the simulated vehicle speed profile for the host vehicle. The method also comprises, in response to a determination that the simulated vehicle speed profile for the host vehicle fulfils a first predefined condition or that the optionally determined estimated following distance profile fulfils a second predefined condition, activating (S104, S205) the predetermined torque limitation (Tq_lim), if not already active.

Abstract: Systems and techniques are described for implementing autonomous control of powered earth-moving vehicles, including to automatically control movement of some or all of a powered earth-moving vehicle on a job site to conform with specified safety configuration data, including to implement vehicle balancing on non-level surfaces. For example, the safety configuration data may be used to move hydraulic arm(s) and/or attachment(s) of a vehicle while on a slope to prevent tipping or sliding (e.g., via contact with an underlying surface), or to otherwise prevent moveable parts of a powered earth-moving vehicle (e.g., a rotatable chassis with a cabin; a tool attachment, such as a digging bucket, claw, hammer, blade, etc.; one or more hydraulic arms; etc.) from entering positions in three-dimensional (“3D”) space that are already occupied by other portions of the powered earth-moving vehicle (e.g., the chassis, tracks or wheels, etc.) and/or by other on-site obstacles.

Abstract: Embodiments of the present disclosure may include a method and system for performing one or more operations based on a visibility confidence model. In some embodiments, the method may include generating a visibility confidence model which may indicate a level of confidence in sensor data that may correspond to individual sub-sections of an aggregate field of view. In some embodiments, the levels of confidence may be determined based on one or more errors associated with an individual sensor, one or more gross-level degradations, one or more fine-level degradations, or one or more occlusions being present in the sensor data. In some embodiments, the method may additionally include performing one or more operations based on the visibility confidence model or the level of confidence corresponding to individual sub-areas of the aggregate field of view.

Abstract: A mobile machine for operation at a work site having a work surface includes: a frame; a traction device mounted to the frame for moving the mobile machine with respect to the work surface; a surface-engaging implement mounted to the frame, the surface-engaging implement being raisable and lowerable with respect to the frame; a first sensor for providing a machine speed of the mobile machine; a second sensor for providing a machine location of the mobile machine; and a controller storing a three-dimensional site plan associated with the work site that includes at least one keep-out zone. The controller receives the machine speed and the machine location, and, based on the machine speed and the machine location with respect to the at least one keep-out zone, raises the surface-engaging implement and maintains the machine speed; or raises the surface-engaging implement and reduces the machine speed.

Abstract: A method for identifying a route of travel for a vehicle operating an in-vehicle application as the vehicle is approaching a traffic light at a traffic intersection is provided. A traffic signal information is received from a traffic control device located about a traffic intersection having two or more roads together. Global positioning data having a vehicle location data for the vehicle is received, a travel lane of the identified lanes for the vehicle is determined based on the traffic signal information and the global positioning data. The travel lane is output as travel lane data for evaluation by the in-vehicle application to configure a future vehicle operation for the vehicle. The traffic signal information includes map data, and signal, phase and timing data for a traffic light associated with the traffic control device.

Abstract: An additive manufacturing system includes a gantry architecture with three orthogonally oriented beams along the X-, Y-, and Z-axes. The first beam (X-axis) and second beam (Z-axis) are configured to translate with respect to each other, while the second beam and third beam (Y-axis) are further configured to both translate and rotate relative to one another. A computer-controlled printing system is mounted to the first beam and includes at least one nozzle capable of depositing construction material suitable for building habitation structures. This configuration supports large-scale, spatially dynamic and artificially intelligent 3D printing.

Abstract: A vehicle including a body, a camera, and a radius tracking controller. The camera coupled to the body, the camera configured to capture an image of a subject. The radius tracking controller coupled to the body. The radius tracking controller configured to: determine a radius of a virtual sphere around the vehicle based on a configuration of the camera. The radius tracking controller configured to: determine a distance between a vehicle position of the vehicle and a previous target position of the vehicle. The radius tracking controller configured to: determine an intersection between the previous target position and a subject position of the subject relative to the vehicle. The radius tracking controller configured to: set a determined intersection where the vehicle and the subject intersect. A vehicle controller interface module coupled to the body, the vehicle controller interface module configured to move the vehicle towards the determined intersection.

Abstract: A vehicle seat including a seat cushion, a seat back, a reclining mechanism, a lumbar support mechanism, and a control unit, wherein the control unit pushes out a support surface toward an occupant by the lumbar support mechanism when the seat back tilts rearward by a predetermined angle or more.

Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed An example apparatus includes interface circuitry, machine readable instructions, and programmable circuitry to at least one of instantiate or execute the machine readable instructions to: collect historical vehicle usage data that includes: descriptions of agricultural activities performed on a field, start points of the agricultural activities, and timestamps associated with the agricultural activities, cluster two or more of the start points together, wherein the two or more start points are selected based on one or more of the historical vehicle usage data, historical weather data, historical field data, or historical policy data, generate a new start point based on the cluster, the generated start point being located within the field, and transmit the generated start point to a vehicle that is associated with the field.

Abstract: A controller for a machine may receive an activation command to activate a metering operation that is to vibrate an implement of the machine by repetitive changing of at least one of an angle or a position of the implement. The controller may generate, while the metering operation is ongoing, a metering control signal for the metering operation by adjusting a baseline metering signal in accordance with sensor data relating to a characteristic of the implement. The controller may cause actuation of an implement actuator for the implement in accordance with the metering control signal.

Abstract: The embodiments disclose an aerial drone navigation system including an aerial drone having a camera, LIDAR detection device, and autonomous navigation sensors, a computer vision system onboard the drone identifies human or animal targets using artificial intelligence, a mobile device wirelessly coupled to the drone receives live video, LIDAR data, and tracking information, communication module on the drone includes cellular and mesh hardware for transmitting sensor and location data to the mobile device or remote command nodes, a guidance control module autonomously directs the drone along a calculated path while avoiding static or dynamic obstacles detected by the LIDAR, a command interface receives mission parameters or rerouting instructions from an operator device, a wearable visual display device operable without a physical wired connection, configured to receive augmented or mixed reality overlays, interface with an AI engine for interpreting mission data, and accept voice input for authentication and

Abstract: The present invention provides systems, methods and algorithms based on specifically programed computer artificial intelligence expert system technology for determination of preferred routes of travel for electric vehicles (EVs). The systems, methods and algorithms provide such route guidance for battery-operated EVs in-route to a desired destination, but lacking sufficient battery energy to reach the destination from the current location of the EV. Such specifically programmed computer machines may be located in the EV and/or cloud-based or remote computer/data processing systems for the determination of preferred routes of travel, including intermediate stops at designated battery charging or replenishing stations. Expert system algorithms operating on combinations of expert defined parameter subsets for route selection are disclosed. Specific fuzzy logic methods are also disclosed for route evaluation and selection of a particular route.

Abstract: A high voltage management system for an electrified vehicle having firmware over-the-air (FOTA) capability receives, via a wireless communication medium, a FOTA flash update for a set of components of the electrified vehicle, receives, from a customer, a customer input indicating a desired time to perform the FOTA flash update, coordinates the FOTA flash update of a set of components based on the customer input, controls an electrified powertrain, including a high voltage system, of the electrified vehicle, and ignores or rejects a plurality of valid high voltage wakeup requests for the high voltage system to prevent interruption of the FOTA flash update of the set of components.

Abstract: A vehicle includes: a battery; a thermal management system; and an ECU. The thermal management system includes an electric pump that circulates a heat medium that exchanges heat with the battery. The thermal management system performs thermal management in the vehicle. When a temperature of the battery is raised using the thermal management system, ECU controls the electric pump such that a noise caused by driving of the electric pump is suppressed when there is no background noise as compared with when there is a background noise, the background noise being a noise caused by a device other than the electric pump.

Abstract: A network for actuating a plurality of controllers to perform a selected functions includes a plurality of programmable chips communicatively coupled to a corresponding controller. Each programmable chip includes a software manager having a first data processing hardware and a first memory hardware. The first memory hardware stores instructions that causes the first data processing hardware to perform a primary function. An activation profile is stored in the first memory hardware and includes a list of software entities having an identifier identifying a primary function and/or a dependent function. The software manager of at least one of the plurality of controllers is further configured to process the activation profile and perform activation of the software entities by determining each of the plurality of controllers that hosts the software entities having the primary function and/or dependent function needed to perform the desired function.

Abstract: A method for operating a vehicle having at least one functional unit for performing a driving function, wherein the functional unit is controllable by a control unit of the vehicle to execute the driving function in an automated driving mode. The method includes carrying out an initialization process to activate a manual driving mode for externally controlling the driving function via an operating device. Additionally, the disclosure pertains to a computer program product and a system associated with the vehicle.

Abstract: An example operation includes one or more of receiving a request for charge from a vehicle from a software application on the vehicle, where the request comprises an identifier of a destination of the vehicle and a state of charge (SOC) of the vehicle, determining a charging time for the vehicle at a charging station based on the SOC, dynamically selecting content from among a database of content based on the destination and the charging time, detecting the vehicle performing a charging operation at the charging station, and delivering the dynamically selected content to a graphical user interface (GUI) of the software application while the vehicle is performing the charging operation.

Abstract: Systems and methods of determining distance bounds for adaptive cruise control. An autonomous vehicle system can identify a second vehicle on the roadway that is traveling in front of the autonomous vehicle; determine a speed of the second vehicle while the second vehicle travels along the roadway; generate a distance bound between the autonomous vehicle and the second vehicle based on the speed of the second vehicle and a speed of the autonomous vehicle; and control the speed of the autonomous vehicle to implement adaptive cruise control according to the distance bound.

Abstract: An autonomous pile driving system comprises an arm of an autonomous offroad vehicle (AOV) configured to hold and drive a pile, a chute configured to stabilize the pile as the pile is being driven. The autonomous pile driving system further comprises a controller configured to identify a location in the geographic area where a pile is to be driven (e.g., installed) and position the chute at the location. The controller aligns the pile secured by the AOV with an opening of the chute and inserts the pile into the chute by actuating an arm (or other suitable component) of the AOV securing the pile.