Abstract: A soft underfoot conditions response system for use with a vehicle includes a plurality of sensors configured to transmit signals indicative of live data representing at least one of real time vehicle speed, vehicle acceleration, vehicle pose, vehicle payload, engine torque, engine power output, and engine RPM, and a controller communicatively coupled with the sensors. The controller is programmed to receive the live data, receive reference data representative of soft underfoot conditions from a database, and analyze the live data and the reference data.

Abstract: An example method for predictive take-off rejection (TOR) of an aircraft includes receiving, at a computing device on the aircraft and at a time before the aircraft takes off for a current flight, outputs from a plurality of sensors positioned on the aircraft, comparing the outputs received from the plurality of sensors for the current flight to reference flight data, based on comparing the outputs received from the plurality of sensors for the current flight to the reference flight data the computing device making a determination of whether to initiate a TOR procedure before the aircraft reaches a takeoff speed on a runway, and based on determining to initiate the TOR procedure, the computing device sending a signal to a control device on the aircraft to initiate the TOR procedure.

Abstract: The present invention relates to systems and methods for vehicles to safely closely follow one another through partial automation. Following closely behind another vehicle has significant fuel savings benefits, but is unsafe when done manually by the driver. On the opposite end of the spectrum, fully autonomous solutions require inordinate amounts of technology, and a level of robustness that is currently not cost effective.

Abstract: Systems, apparatuses, and methods are provided herein for unmanned flight optimization. A system for unmanned flight comprises a set of motors configured to provide locomotion to an unmanned aerial vehicle, a set of wings coupled to a body of the unmanned aerial vehicle via an actuator and configured to move relative to the body of the unmanned aerial vehicle, a sensor system on the unmanned aerial vehicle, and a control circuit. The control circuit being configured to: retrieve a task profile for a task assigned to the unmanned aerial vehicle, cause the set of motors to lift the unmanned aerial vehicle, detect condition parameters based on the sensor system, determine a position for the set of wings based on the task profile and the condition parameters, and cause the actuator to move the set of wings to the wing position while the unmanned aerial vehicle is in flight.

Abstract: A navigation method and device are provided. The method includes: receiving start point information and end point information sent by a target device; acquiring a target path navigation video from a start point to an end point based on the start point information and the end point information; and sending the target path navigation video to the target device. Accordingly, the target path navigation video is broadcasted in real time, thereby the user may determine whether a deviation occurs between the target path and the actual route in real time, and an accuracy of navigation is improved.

Abstract: A data structure of an environment map includes: position information indicating a position in a space; and a state quantity variability of the position. The state quantity variability is correlated with the position information, and the state quantity variability indicates a variation tendency of a state quantity of the position with respect to time.

Abstract: A host vehicle includes: motor(s), sensors, processor(s) configured to: (a) iterate a series of future properties, comprising future positions, of nearby first and second vehicles based on determined current properties thereof; (b) associate a blindspot with an iterated future position of the second vehicle; (c) determine whether a future position of the first vehicle occupies the blindspot; (d) if so, transmit a message to the second vehicle including a message activation time.

Abstract: An unloading automation system for unloading of harvested crop from an agricultural vehicle, such as a combine harvester, into a container. The container may be part of a vehicle container combination that is arranged to maneuver next to the agricultural vehicle in the field. The unloading automation system includes a filling degree measurement system and position measurement system, wherein the position measurement is based on UWB technology. This non-optical technology improves measurement results in dusty environments. The filing degree measurement system and the position measurement system have at least one UWB tag or base station in common.

Abstract: A system includes a locator device and one or more processors operably connected to the locator device. The locator device determines a trailing distance between a trailing vehicle system that travels along a route and a leading vehicle system that travels along the route ahead of the trailing vehicle system in a same direction of travel. The one or more processors compare the trailing distance to a first proximity distance relative to the leading vehicle system. In response to the trailing distance being less than the first proximity distance, the one or more processors set a permitted power output limit for the trailing vehicle system to be less than a maximum achievable power output for the trailing vehicle system, the permitted power output limit being set based on a power-to-weight ratio of the leading vehicle system.

Abstract: The present disclosure relates to a mobile terminal capable of cooperating with a transparent display apparatus and a method for controlling the same, wherein the mobile terminal capable of cooperating with the transparent display apparatus includes a wireless communication unit capable of performing transmission and reception of information with the transparent display apparatus, a display unit capable of outputting path search information, and a controller capable of transmitting screen information related to the path search information to the cooperative transparent display apparatus, through the wireless communication unit such that the screen information related to the path search.

Abstract: A wind noise throb reduction system includes a controller configured to reduce wind noise throb, an active noise cancellation subsystem responsive to the controller and a dynamic airflow control subsystem responsive to the controller. A related method of reducing wind noise throb in a passenger compartment of a motor vehicle is also provided.

Abstract: Systems and methods of deep neural network based parking assistance is provided. A system can receive data sensed by one or more sensors mounted on a vehicle located at a parking zone. The system generates, from a first neural network, a digital map based on the data sensed by the one or more sensors. The system generates, from a second neural network, a first path based on the three-dimensional dynamic map. The system receives vehicle dynamics information from a second one or more sensors located on the vehicle. The system generates, with a third neural network, a second path to park the vehicle based on the first path, vehicle dynamics information and at least one historical path stored in vehicle memory. The system provides commands to control the vehicle to follow the second path to park the vehicle in the parking zone.

Abstract: An agricultural distribution machine for spreading liquid and/or solid plant protection products by means of a distribution apparatus which is height-adjustably arranged on a frame of the distribution machine having a plurality of nozzle holders with spray nozzles mounted thereon arranged spaced apart from each other for the purpose of distributing the plant protection product to be spread. Activation of the distribution apparatus is carried out based on at 10 least two spray profiles stored in a computer unit, each spray profile composed of a plurality of parameters. In order to achieve a consistent distribution quality of the plant protection product, different spray profiles can be stored in a computer unit and, in the instance of a deviation of the parameters of a spray profile, an automated activation of the distribution machine or of the distribution 15 apparatus to the parameters of a second spray profile is carried out.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to allocate unmanned aircraft system (UAS). Some embodiments, provide UAS allocation systems, comprising: a UAS database that stores for each registered UAS an identifier and corresponding operational capabilities; an allocation control circuit configured to: obtain a first set of multiple task parameters specified by a first customer and corresponding to a requested first predefined task that the customer is requesting a UAS be allocated to perform; identify, from the UAS database, a first UAS having operational capabilities to perform the first set of task parameters while implementing the first task; and cause an allocation notification to be communicated to a first UAS provider, of the multiple UAS providers, associated with the first UAS requesting the first UAS provider to allocate the identified first UAS to implement the first task.

Abstract: A device for determining steering wheel rotation information, which comprises a linear motion transforming element connected to a steering column of a steering wheel for transforming rotation of the steering wheel into a linear movement, and a processing element electrically connected to the linear motion transforming element for determining steering wheel rotation information based on the linear movement transformed by the motion transforming element.

Abstract: A method of operating a motor vehicle includes detecting at least one motor vehicle driver response, producing a perception model based on the detected motor vehicle driver response, and analyzing the perception model to at avoid least one motor vehicle driver response by adjusting a parameter of the motor vehicle. Analysis of the perception model can also be carried out to predict a motor vehicle driver response, in particular during the generation of new control software for the vehicle.

Abstract: In one embodiment, a method for receiving a plurality of data points of a contour wayline having a starting point and an ending point, the contour wayline describing a curved path; generating a description of a curve corresponding to a number of data points; providing curved extensions of the contour wayline based on the description of the curve; and using the curved extensions and the contour wayline for auto-guidance.

Abstract: A method for handling a control card, wherein a control card is created in a vehicle and passed on to an external unit such as, for example, another vehicle or a central server. In this way, a comparison of control cards is possible.

Abstract: In one embodiment, a method for selecting a parking location for an autonomous vehicle includes: obtaining data pertaining to a current ride of the autonomous vehicle during operation of the autonomous vehicle; determining, by a processor using the data, when the autonomous vehicle is proximate a destination; and, when the autonomous vehicle is proximate the destination: identifying, by the processor using the data, a plurality of potential parking locations proximate the destination; calculating, by the processor using the data, a respective score for each of the potential parking locations using a plurality of factors; and selecting, by the processor using the data, a selected parking location of the potential parking locations based on the respective score of each of the potential parking locations.

Abstract: Described herein are various embodiments for a coasting timer for predictive acceleration. In an embodiment, a system for predictive acceleration of a vehicle is described. The system may comprise an accelerator pedal; a sensor coupled to the accelerator pedal, the sensor configured to measure depression of the accelerator pedal; and an electronic control unit (ECU). The ECU may be configured to: determine a current coasting map; determine a coasting interval duration based, at least in part, on the current coasting map; determine the coasting interval duration has started based, at least in part, upon a measurement received from the sensor; and activate one or more subsystems of the vehicle prior to the end of the coasting interval duration, the one or more subsystems determined based, at least in part, on a predicted acceleration type.