Abstract: A controller for a harvester. The controller is configured to receive crop flow information representative of how crop is flowing through the harvester and generate display information for providing a visual display to an operator of the harvester. The visual display includes an animation of crop flowing through the harvester. The controller is further configured to set one or more properties of the animation of the crop flowing through the harvester based on the received crop flow information.

Abstract: An automatic air suspension control system is provided for use in combination with a vehicle having a non-driven rear axle, a driven rear axle, and an air suspension associated with the rear axles to apply a load to each of the rear axles. The air suspension control system is programmed to maintain the load applied to the non-driven rear axle at a level that is less than the load applied to the driven rear axle until the load applied to the driven rear axle is equal to a threshold amount. The threshold amount may be equal to the maximum load that may be legally applied to the driven rear axle or some lower level. There may be no load applied to the non-driven rear axle prior to the load on the driven rear axle reaching the threshold amount or may be a non-zero amount.

Abstract: A system for assisting in reversing of a vehicle-trailer combination includes a vehicle steering system and a controller. The controller outputs a steering signal based on a control parameter to the steering system to maintain the trailer along a commanded backing path, determines an error between a measured behavior of a characteristic of the vehicle-trailer combination and a predicted behavior of the characteristic, and adjusts the control parameter based on the error.

Abstract: One or more devices in a data analysis computing system may be configured to receive and analyze movement data and driving data, and determine driving trips and associated drivers based on the received data. Movement data may be collected by one or more mobile devices, such as smartphones, tablet computers, and on-board vehicle systems. Drivers associated with driving trips may be identified based on the movement data collected by the mobile devices, such as speed data, acceleration data, or distance data.

Abstract: A method for controlling a mild hybrid vehicle is disclosed. The method includes: controlling a multi-point injection (MPI) fuel system for supplying fuel to an engine for a low revolutions-per-minute (RPM) operation; subsequently, causing a gasoline direct injection (GDI) fuel system for a high RPM operation; switching to the multi-point injection fuel system when it is determined that the gasoline direct injection fuel system fails. The method further comprises calculating a torque deficiency due to the switching from the GDI fuel system to the MPI fuel system and controlling a starter-generator to generate an assist torque to compensate the torque deficiency.

Abstract: Systems of an electrical vehicle and the operations thereof are provided that use object profiles to select autonomous vehicle operations, including acceleration rate, deceleration rate, steering angle, and inter-vehicle spacing.

Abstract: A specific vehicle having a unique structure, modified wheel design and capable of running on a dedicated lane with uniform speed is described. The transportation system controls the traffic flow from and to the arterial roads to the highways. This allows the traffic management system to efficiently manage the commute time traffic and avoid congestion. The modified space and energy transportation management system and method of using it enables efficient transportation management while saving time and energy for service providers as well as users.

Abstract: In one embodiment, a system includes a processing circuit and logic integrated with the processing circuit, executable by the processing circuit, or integrated with and executable by the processing circuit. The logic is configured to cause the processing circuit to limit functionality of a remote controlled device during periods of time that a user of the remote controlled device is not authenticated, and to receive identity information of the user of the remote controlled device via an authentication process, with the identity information establishing an identity of the user. Also, the logic is configured to cause the processing circuit to authenticate the user prior to allowing full functionality of the remote controlled device, send an indication of the identity of the user to the remote controlled device, and provide full functionality of the remote controlled device to the user in response to successfully authenticating the user.

Abstract: An example system includes a delivery vehicle, a sensor connected to the delivery vehicle, and a control system that determines a delivery destination for an object. The control system receives sensor data representing a physical environment of at least a portion of the delivery destination and determines a drop-off spot for the object within the delivery destination by way of an artificial neural network (ANN). The ANN is trained to determine the drop-off spot based on previously-designated drop-off spots within corresponding delivery destinations and includes an input node that receives the sensor data, hidden nodes connected to the input node, and an output node connected to the hidden nodes that provides data indicative of a location of the drop-off spot. The control system additionally causes the delivery vehicle to move to and place the object at the drop-off spot.

Abstract: An apparatus, method and computer program wherein the apparatus comprises: processing circuitry; and memory circuitry including computer program code; the memory circuitry and the computer program code configured to, with the processing circuitry, cause the apparatus at least to perform: obtaining information from at least one sensor wherein the information comprises a current location of a vehicle; using the obtained information to determine an autonomous evacuation strategy for the vehicle; and enabling the vehicle to access the autonomous evacuation strategy when an emergency is detected.

Abstract: An example implementation includes (i) receiving sensor data that indicates topographical features of an environment in which a robotic device is operating, (ii) processing the sensor data into a topographical map that includes a two-dimensional matrix of discrete cells, the discrete cells indicating sample heights of respective portions of the environment, (iii) determining, for a first foot of the robotic device, a first step path extending from a first lift-off location to a first touch-down location, (iv) identifying, within the topographical map, a first scan patch of cells that encompass the first step path, (v) determining a first high point among the first scan patch of cells; and (vi) during the first step, directing the robotic device to lift the first foot to a first swing height that is higher than the determined first high point.

Abstract: A vehicle includes a plurality of wheels. A vehicle steering controller controls a heading of the vehicle by controlling at least one of the plurality of wheels. A heading sensor detects the heading of the vehicle. A processor is coupled to the vehicle steering controller and the heading sensor, and the processor is programmed to receive a lane change signal that requests a lane change. Then, the processor determines the heading of the vehicle from the heading sensor. Based on this determination, the processor instructs the vehicle steering controller to reduce the heading of the vehicle to prior to executing the requested lane change. As a result, the lane change may be executed from a similar state each time.

Abstract: Techniques are described for component configuration based on sensor data. Sensor data is collected by sensors in, or proximal to, a system under diagnosis (e.g., a vehicle), the sensor data describing the use of component(s) of the system by individual(s). The sensor data is analyzed (e.g., in real time) to determine an updated configuration for component(s) (e.g., an adjustment to the seat back, lumbar support of a car seat, etc.). The updated configuration may be communicated to the individual as a recommended configuration. In some implementations, the updated configuration may be communicated directly to the component which, on receiving and processing the configuration update, sends signals to various actuators to move the subcomponents of the component into the updated configuration. In some implementations, the sensor data is used to train, through machine learning, a model that provides configuration update(s) for component(s) based on the input sensor data.

Abstract: Techniques are described for component design based on sensor data. Sensor data is collected by sensors in, or proximal to, a system under diagnosis (e.g., a vehicle), the sensor data describing use of one or more components of the system by one or more individuals. The sensor data from various instances of the component may be aggregated and analyzed to determine update(s) to the design of the component. For example, the aggregate sensor data may be analyzed to identify portions of the component frequently associated with movements by users (e.g., fidgeting, adjustments). The identified portion(s) can be presented graphically in a design view used to specify design modification(s) for the component. In some implementations, the aggregate sensor data is provided as input to a model that is trained, using machine learning, to output design modification(s) for the component based on the input aggregate sensor data.

Abstract: A package delivery apparatus uses an unmanned aerial vehicle (UAV) to deliver a package containing a product to a delivery destination area. The UAV uses GPS signals to guide it to the delivery destination area and an altimeter to determine its height above the delivery destination area. The UAV then adjusts its height to a preferred drop or release height for that package and product and releases the package. An optional camera allows a human operator to view the delivery destination area. An expandable foam package surrounds the product to protect the product from impact and moisture. The package may be streamlined to reduce air resistance and increase the range of the UAV. The package characteristics, such as its thickness, are determined based one or more of the weight and fragile nature of the product, and the drop height.

Abstract: An apparatus for controlling automatic parking of a vehicle, a system having the same, and a method thereof are provided, wherein the system for controlling the automatic parking of the vehicle may include a sensor device which scans for a parking space and acquires detected road width information, when entrance to a parking mode is made, and a vehicle automatic parking control device which receives road width information and congestion information relating to the parking space from a navigation device and determines a vehicle speed of a subject vehicle for parking assist by using the road width information, the congestion information, and the detected road width information.

Abstract: A system for controlling the thrust of the engines of an aircraft comprises a processing unit configured to receive an aircraft speed setting, to determine a control setting for at least one engine of the aircraft as a function of the speed setting and to transmit a setting to a controller of the at least one engine of the aircraft as a function of the control setting. The processing unit is further configured to receive a current turbulence level measurement information item and to add an additional speed setting, as a function of the turbulence level, to the speed setting.

Abstract: Methods and systems for autonomous generation of shortest lateral paths for unmanned aerial systems are described. An example system includes memory storing code and at least one processor to execute the code to cause the at least one processor to access an initial scenario including a source point, a target point, and a no flight zone, determine a computation time for identifying a lateral path for an aircraft to traverse that avoids the no flight zone, determine whether the determined computation time satisfies a threshold of a reference computation time, change the first number of vertices to a second number of vertices when the reference computation time is not satisfied, determine a buffer area surrounding the no flight zone, construct a visibility graph including lateral paths, and identify one of the lateral paths as being shorter than others of the lateral paths.

Abstract: A method for operating a navigation system of a motor vehicle, wherein upon reception of a destination data record containing a geodetic position and a first address associated with the position. Based on digital map data stored in the navigation system test addresses are created and are geodetically assigned, wherein the test addresses contain at least a street name and are located in the destination region of the position. A second address is selected from the test addresses that with regard to at least one character string describing the test address deviates the least from said first address, wherein, after the level of discrepancy of the second address as compared to the first address is determined to be less than or equal to a maximum value, the navigation system navigates to the second address.

Abstract: A load laser guidance system for a forklift having a pair of laterally overlapping and laterally adjustable hollow parallelepiped bars on a forklift front end. A pair of servo motors, provided for the lateral adjustment of the bars, is disposed within the bars, which are attached to the mast assembly by a pair of braces. Forwardly projecting laser sensors, disposed on each bar, are configured to detect a width of a load of palletized cargo and to then communicate with a central processing unit within an interior dashboard which, in turn, activates servo motors to adjust the width of the bars to determine if the cargo can fit within a particular storage space. A dashboard monitor on the dashboard includes controls and a monitor screen permitting manual override of bar width adjustment. Weight sensors, disposed on each forklift arm, recognize load presence prior to activation of the laser sensors.