Abstract: The vehicle control device of the present invention acquires characteristics of a road condition in front of a traveling vehicle based on external information; acquires vehicle behavior control variables for controlling the behavior of the vehicle based on estimated state variables of the vehicle that are obtained based on the characteristics, and control variables concerning speed of the vehicle based on the external information; acquires trajectory tracking control variables for causing the vehicle to track the target trajectory based on the target trajectory on which the vehicle travels that are obtained based on the characteristics and the estimated state variables; and outputs the control commands for controlling the suspension device, steering device, and braking and driving device based on the vehicle behavior control variables and the trajectory tracking control variables. This improves travel stability of the vehicle on a road surface on which an irregularity such as ruts exists.

Abstract: A vehicle control system includes a driving controller that switches between autonomous driving an manual driving of a vehicle, a seat whose form is changed between a form during autonomous driving and a form during manual driving that are different from each other, and a seat controller that controls motion of the seat when a form of the seat is changed. If the seat is in a form during autonomous driving, the driving controller does not switch autonomous driving to manual driving when controlling the vehicle.

Abstract: In a vehicle including a first MG serving as a driving source, a power transmission mechanism configured to transmit power of the first MG to a drive wheel, and an oil circulation mechanism for cooling the power transmission mechanism and the first MG, it is determined that oil is short when a temperature of the first MG is higher than a temperature of the oil and a difference between the temperature of the first MG and the temperature of the oil is greater than a prescribed value.

Abstract: A communication error diagnosis apparatus for a vehicle, a system including the same and a method thereof may provide a communication error diagnosis apparatus including: a processor configured to transmit a request message including diagnostic identifiers for diagnosing a plurality of controllers that perform vehicle functions and sequence identifiers of the controllers to the controllers depending on a sequence to receive response messages, and configured to analyze vehicle communication errors based on the response messages received from the controllers; and a storage configured to store data and algorithms driven by the processor.

Abstract: A row unit for a seeding machine includes a ground view sensor coupled to the frame. The ground view sensor is operable to sense the furrow and generate depth signals corresponding to actual sensed depth of the furrow. The row unit also includes a controller configured to receive the signals, and a downforce adjustment mechanism coupled to the frame and to the controller. The controller is configured to activate the downforce adjustment mechanism to adjust a downforce on the frame based on the signals received by the controller.

Abstract: A transmitter includes a data generating unit configured to generate transmission data, a transmitting unit configured to transmit the transmission data to a receiver that includes a setting unit that sets a threshold for controlling a vehicle in accordance with the type of the tire valve, and a controlling unit that causes the transmitting unit to transmit the transmission data. The transmission data is information with which the setting unit sets the threshold. The transmission data includes valve identification information for causing the setting unit to recognize the type of the tire valve to which the transmitter is attached.

Abstract: A parking assist apparatus sets a target position on a traffic lane, based on vehicle surrounding information, calculates a moving route, and executes a parking assist control of moving an own vehicle along the moving route. The parking assist control includes a steering angle control, a driving force control, and a braking force control. The parking assist apparatus changes the stopping number of stopping the own vehicle, based on the vehicle surrounding information while moving the own vehicle along the moving route.

Abstract: A method of generating an output trajectory of an ego vehicle includes recording trajectory data of the ego vehicle and pedestrian agents from a scene of a training environment of the ego vehicle. The method includes identifying at least one pedestrian agent from the pedestrian agents within the scene of the training environment of the ego vehicle causing a prediction-discrepancy by the ego vehicle greater than the pedestrian agents within the scene. The method includes updating parameters of a motion prediction model of the ego vehicle based on a magnitude of the prediction-discrepancy caused by the at least one pedestrian agent on the ego vehicle to form a trained, control-aware prediction objective model. The method includes selecting a vehicle control action of the ego vehicle in response to a predicted motion from the trained, control-aware prediction objective model regarding detected pedestrian agents within a traffic environment of the ego vehicle.

Abstract: A vehicle, an accelerator pedal system, and a method of controlling the vehicle are provided. The accelerator pedal system has an accelerator pedal, a pedal limit connected to a motor and movable towards and away from the accelerator pedal, wherein the pedal limit limits movement of the accelerator pedal in a first direction when the pedal limit is in contact with the accelerator pedal, and a controller configured to control the motor to move the pedal limit to a first position in contact with the accelerator pedal in response to receiving a cruise control input from a driver to maintain a selected vehicle speed without actuation of the accelerator pedal.

Abstract: An agricultural sprayer includes a computing system configured to receive a first input associated with a target application rate at which agricultural fluid is to be dispensed onto the field. Moreover, the computing system is configured to receive a second input associated with a turn being made or to be made by the sprayer. Additionally, the computing system is configured to determine a maximum ground speed for the turn at which a selected nozzle dispenses the agricultural fluid onto the field at the target application rate based on the received first and second inputs. Furthermore, when the turn is being made, the computing system is configured to control an operation of the sprayer such that the ground speed of the sprayer is at or below the determined maximum ground speed.

Abstract: A speed of a target vehicle in a target lane of operation is determined relative to a host vehicle in a host lane of operation. A virtual boundary is determined around the target vehicle based on the speed of the target vehicle. A position in the target lane and outside the virtual boundary is selected based on a) a first cost function for a deviation of a speed of the host vehicle from a requested speed, and b) a second cost function for a frequency of lane changes. Upon determining to move the host vehicle from the host lane to the target lane, the host vehicle is operated to the position in the target lane.

Abstract: Provided is an apparatus for assisting driving of a host vehicle, the apparatus comprising: a camera mounted to the host vehicle and having a field of view in front of the host vehicle, the camera configured to acquire image data; and a controller including a processor configured to process the image data. The controller may identify at least one object obstructing driving of the host vehicle based on the image data, and control a steering controller of a steering device to apply a periodically varying dithering torque to the steering device of the host vehicle in response to a collision with the at least one object being expected. The apparatus for assisting driving of a host vehicle may shorten the response time for emergency steering.

Abstract: Various embodiments relate to recording event data to identify and resolve anomalies associated with control of driverless vehicles. Some examples include computing vehicular drive parameters to facilitate driverless transit, monitoring control signals, detecting an event, triggering storage of event data, determining transmission control criteria, and transmitting the event data based on the transmission control criteria. Other examples include receiving event data via a communications network from an autonomous vehicle, identifying a computed vehicular drive parameter, extracting sensor data associated with the event, detecting application of control signals, analyzing the control signals, the sensor data, and the subset of computed vehicular drive parameters to identify a type of event, and generating update executable instructions responsive to the type of event.

Abstract: One or more information maps are obtained by an agricultural system. The one or more information maps map one or more characteristic values at different geographic locations in a worksite. An in-situ sensor detects a material dynamics characteristic value as a mobile machine operates at the worksite. A predictive map generator generates a predictive map that predicts a predictive material dynamics characteristic value at different geographic locations in the worksite based on a relationship between the values in the one or more information maps and the material dynamics characteristic value detected by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: A method for automated control of a vehicle includes automatically navigating a vehicle within a current lane of travel with a driving assistance system, and predetermining a steering maneuver during the automatic navigation with the driving assistance system. The method also includes, prior to performing the predetermined steering maneuver, biasing the vehicle within the current lane of travel with an offset from a center of the current lane of travel using the driving assistance system, the offset in a direction of the predetermined steering maneuver, and performing the predetermined steering maneuver with the driving assistance system.

Abstract: A processor-implemented method of performing an operation using a complex-valued attention network includes: extracting a complex-valued attention weight from complex-valued input data; and determining complex-valued attention data by applying the extracted complex-valued attention weight to the complex-valued input data.

Abstract: A vehicle control system includes a central ECU configured to calculate target outputs of actuators, and relay devices each disposed in a communication path between the central ECU and a corresponding actuator among the actuators. The plurality of relay devices includes a specific relay device configured transfer a control signal from the central ECU only to a fixed actuator that is an actuator not related to driving control, braking control, and steering control of a vehicle. The specific relay device is configured to output, to the fixed actuator coupled to the specific relay device, one of a signal for setting the fixed actuator in an operating state or a signal for setting the fixed actuator in a non-operating state, in response to detection of an abnormality in the central ECU. The specific relay device does not have a function of diagnosing an abnormality in the specific relay device.

Abstract: An AAMP system includes a plurality of AAMP system stations disposed in an environment and configured to perform one or more AAMP processing routines, and a plurality of robots configured to autonomously travel within the environment, where one or more robots from among the plurality of robots include an auxiliary AAMP processing station configured to perform one or more auxiliary AAMP processing routines. The AAMP system includes a controller configured to select an AAMP system station from among the plurality of AAMP system stations to perform the one or more AAMP processing routines based on AAMP system operation data and select a robot from among the plurality of robots to initiate the one or more AAMP processing routines at the selected AAMP system station based on a digital model of the environment and robot operation data, where the robot operation data includes an auxiliary processing state.

Abstract: A system for controlling an aircraft power network including at least a first propulsion assembly having at least one left-hand starter-generator and a second propulsion assembly having at least one right-hand starter-generator as well as other electrical motors, the system including first and second power electronics boxes each including at least two so-called generic control boards for controlling the power network, each of these at least two generic control electronics boards being connected by a fast communication link to separate first and second data switches, the first and second data switches of the first power electronics box being respectively connected to the first and second data switches of the second power electronics box by a first fast communication bus.

Abstract: Embodiments disclosed herein enable routine autonomous execution of at least some major phases of aerostat operation in response to commands from human or automated external operators, a built-in decision-making capacity, or both. Various embodiments combine one or more actively controlled tethers, aerodynamic aerostat control surfaces, mechanical assistive devices (e.g., jointed arms attached to a ground station), and/or active propulsors attached to the aerostat to govern aerostat behavior during launch, flight, and landing phases of operation. Some embodiments enable automatic autonomous performance of all phases of routine post-commissioning aerostat operation, including launch, flight, and landing, without any routine need for availability of a human crew.