Abstract: A system for multi-mode autobrake control may comprise a wheel speed sensor and a BCU electrically coupled to the wheel speed sensor. A tangible, non-transitory memory may be configured to communicate with the BCU and may have instructions stored thereon that, in response to execution by the BCU, cause the BCU to perform operations comprising receiving a wheel speed signal from the wheel speed sensor, inputting the wheel speed signal into an antiskid filter and a nominal filter, calculating an estimated aircraft deceleration rate, and determining an autobrake pressure command based on the estimated aircraft deceleration rate.

Abstract: A system and method of controlling individual trailer brakes on a towed trailer supporting numerous fault tolerant behaviors including activating each operational brake when a brake is shorted. System operates in multiple modes where it operates with traditional brake controllers, operates in a degraded braking mode without a brake controller and in the preferred mode it retrieves vehicle information from tow vehicle and then communicates with a brake actuator controller over the trailer brake wire. When braking system includes wheel sensors traditional antilock releases are provided and unlike other braking systems this brake actuator controller can maintain wheel speeds below the trailer speed reducing or eliminating periodic wheel releases. System also diagnoses the mechanical operation of the trailer brakes including; identifying when brake adjustment is required, when brake friction surfaces are degrading, as well as diagnosing sensors, braking signals and brake actuator interfaces.

Abstract: A working machine has a body and a moveable element. The moveable element is moveable relative to the body. A camera captures an image of at least a portion of the moveable element. A processor executes a machine learning algorithm trained to determine a position of a moveable element from an image of the moveable element. The machine learning algorithm receives the image from the camera and determines the position of the moveable element in the image.

Abstract: A system and apparatus for assisting in determining the best course of action at any point inflight for an emergency. The system may monitor a plurality of parameters including atmospheric conditions along the flight path, ground conditions and terrain, conditions aboard the aircraft, and pilot/crew data. Based on these parameters, the system may provide continually updated information about the best available landing sites or recommend solutions to aircraft configuration errors. In case of emergency, the system may provide a procedure associated with a hierarchy of available emergency landing sites for execution via the autopilot system for landing the aircraft.

Abstract: A trailer oscillation and stability control device including an accelerometer and an angular rate sensor. An oscillation detection discriminator detects oscillatory lateral trailer motion in response to trailer displacement data derived from inputs from the angular rate sensor and acceleration signals received from the accelerometer, and then generates corresponding oscillatory event data. A brake controller generates a braking control signal in response to oscillatory event data received from the oscillation detection discriminator.

Abstract: A vehicle control device includes a travel environment recognition device configured to recognize travel environment, a vehicle travel state detection device, and an autonomous/manual driving mode controller. The autonomous/manual driving mode controller includes a learning correction unit configured to store at least one of a plurality of control parameters indicating the vehicle travel state by operation of the driver in the autonomous driving mode, and to correct the control parameter in the autonomous driving mode according to the stored control parameter. When the stored control parameter is the control parameter changed by an operation by the driver midway in passing or after passing, the learning correction unit is configured to correct the control parameter in the autonomous driving mode so that an acceleration level or the deceleration level is increased midway in passing or after passing.

Abstract: Systems, apparatus and methods implemented in algorithms, software, firmware, logic, or circuitry may be configured to process data and sensory input to determine whether an object external to an autonomous vehicle (e.g., another vehicle, a pedestrian, a bicyclist, etc.) may be a potential collision threat to the autonomous vehicle. The autonomous vehicle may include a light emitter positioned external to a surface of the autonomous vehicle and being configured to implement a visual alert by emitting light from the light emitter. Data representing a light pattern may be received by the light emitter and the light emitted by the display may be indicative of the light pattern. The light pattern may be selected to gain the attention of the object (e.g., a pedestrian, a driver of a car, a bicyclists, etc.) in order to avoid the potential collision or to alert the object to the presence of the autonomous vehicle.

Abstract: A method and system for braking a vehicle using supplemental deceleration provided by an electronic parking brake. The method includes detecting a reduced function state of an integrated braking system; detecting a brake pedal input from an operator of the vehicle; and automatically generating a braking force via the electronic parking brake based on the brake pedal input and the reduced function state.

Abstract: The disclosure provides a dynamic recovery method and system for UAVs and storage medium. On the basis of obtaining the environmental information of UAVs, combined with different factors such as the following task quantity of each UAV, the distance from the current position of each UAV to the recovery point, current performance of each UAV, total cost function is constructed, and optimization is carried out through improved particle swarm optimization algorithm. Then on the premise of the lowest recovery cost, the priority of each UAV is obtained. For the ordered UAV, the route to the recovery point is determined. At the same time, it is necessary to consider conflict resolution of UAVs when encountering obstacles in the flight process, as well as the possible failure in line recovery. At this time, it is necessary to reorder some hovering UAVs to ensure flight safety of UAVs and robustness of the algorithm.

Abstract: A system for determining a wheel-rail adhesion value for a railway vehicle including at least one axle to which two wheels having a radius are coupled is provided. The system includes a deformation detection circuit coupled to an axle arranged to detect a torsional deformation of the axle due to a longitudinal adhesion force transferred from the axle to the rail, and a controller arranged to estimate a torque value as a function of the torsional deformation detected to convert the estimated torque value into the longitudinal adhesion force value as a function of the radius of the wheels, and to calculate the wheel-rail adhesion value through the ratio between the longitudinal adhesion force value and a normal load value that the axle exerts on the rail. A method for determining a wheel-rail adhesion value for a railway vehicle is also provided.

Abstract: Systems and methods for predictive adaptive cruise control of a plurality of vehicles traveling in succession. A system engages in a vehicle-to-vehicle communication session with one or more vehicles of the plurality of vehicles. During the communication session, terrain information is obtained and first speed trajectory information is determined for an upcoming segment of road. Second speed trajectory information is received from a first adjacent vehicle of the plurality of vehicles. Third speed trajectory information is generated based on the second speed trajectory information received and the terrain information. The operation of the vehicle is controlled during the upcoming segment according to the third speed trajectory information.

Abstract: A brake ECU sets target slippage degrees of three wheels other than the front outer wheel to the slippage degree of the front outer wheel and feedback-controls the braking forces of the three wheels such that the actual slippage degrees of the three wheels approach the target slippage degrees. The brake ECU computes a correction amount for the slip ratio deviation of the front inner wheel such that the slip ratio deviation becomes zero. The brake ECU multiplies the correction amount for the slip ratio deviation by a load ratio and uses the resultant value as a correction amount for the slip ratio deviation of the rear inner wheel. The brake ECU corrects the slip ratio deviation by using the computed correction amount.

Abstract: A vehicle and a method for controlling the vehicle are provided. The vehicle may include a battery; and a motor configured to generate a driving force by using the electric power charged in the battery, perform a regenerative braking, and charge the battery through the regenerative braking. The vehicle identifies destination information entered in the input during the preparation of charging at the charging station, searches for a route from the charging station to the destination based on the position information of the charging station and the position information of the destination, acquires the charging amount by regenerative braking based on the road information in the searched route and the table, and stops controlling the charging of the battery when the charging amount charged in the battery is charged by the regenerative braking during charging of the battery at the charging station.

Abstract: A vehicle propulsion system configured to generate wheel torque includes an engine arranged to output a first propulsion torque to a transmission and an electric motor arranged to output a second propulsion torque downstream of the transmission. The vehicle propulsion system also includes a controller programmed to, in response to detecting a lash crossing associated with one of the electric motor and the transmission, set a torque slew rate of the other one of the electric motor and transmission such that each of the electric motor and transmission undergoes lash crossings at different points in time.

Abstract: A vehicle configured for determining an emotion state of a user, and adjusting a speed change of the vehicle that exerts an influence on the drive ability on the basis of the determined emotion state, and a method of controlling the same, may include a sensing unit configured to measure an acceleration of a vehicle and a bio-signal of a user; and a control unit connected to the sensing unit and configured to determine emotion state information indicating an emotion state of the user on the basis of the measured bio-signal when the measured acceleration is greater than or equal to a threshold acceleration, and on the basis of the emotion state information and correlation information indicating a relationship between the emotion state information and a drive ability factor related to a drive ability according to a speed change of the vehicle, update a setting value of the drive ability factor.

Abstract: The present disclosure provides a vehicle control device, a vehicle control method and a head-up display apparatus. The vehicle control device includes: an extraction circuit used to extract brain wave signals of a user; and a control circuit used to determine whether the user is in an unsafe driving state according to the brain wave signals, and perform at least one of operations including issuing a warning reminder and controlling vehicle deceleration when determining that the user is in the unsafe driving state.

Abstract: An operating method is for a redundant sensor arrangement of a vehicle system. The sensor arrangement includes two controllers and multiple sensors. Individual sensors of the multiple sensors, in a normal mode of the vehicle system, are each coupled to a controller embodied as a primary controller and, in an emergency mode of the vehicle system, are each coupled to a controller embodied as a secondary controller and are supplied with power. The corresponding controller coupled to the sensors receives and evaluates signals from the individual sensors. Initialization of the sensor arrangement involves an operating voltage being applied to both controllers and a check on the sensor arrangement being performed. The sensors, in a first checking step, are coupled to a first controller and are checked by the latter and decoupled from a second controller, and the first controller subsequently hands over the sensors to the second controller.

Abstract: A method for operating an assistance system of a motor vehicle, with a first control unit and with a second control unit, wherein a first rotational speed sensor is connected to the first control unit for recording a rotational speed of a first wheel, wherein a second rotational speed sensor is connected to the second control unit for recording a rotational speed of a second wheel, and wherein the first control unit is coupled to the second control unit using signal technology.

Abstract: One or more techniques and/or systems are provided for facilitating communication between a program and a vehicle computing device of a vehicle. For example, a vehicle profile may be used as an intermediary abstraction layer between the program (e.g., hosted on a mobile device, hosted on a vehicle navigation unit, etc.) and the vehicle computing device. The vehicle profile may provide data formatting functionality to enable communication and interaction because the program and the vehicle computing device may utilize different data formats, communication protocols, and/or functions. The vehicle profile may specify what information the program is allowed to access and/or what features of the vehicle are allowed to be modified by the program. The vehicle profile may determine how information can be displayed by the program through a vehicle display. Communication may be facilitated between the program, the vehicle computing device, and/or a remote device such as a cloud service.

Abstract: A vehicle control apparatus includes an electronic control unit configured to: acquire lane information including a curvature of a curve located ahead in a traveling direction of the vehicle; acquire target vehicle information as information on a target vehicle, based on the lane information and the target vehicle information, a target trajectory; perform a target trajectory modification process for offsetting the target trajectory determined from the lane information in such a direction as to move away from the target vehicle, when the vehicle approaches the target vehicle; set an offset amount of the target trajectory in accordance with the curvature of the curve, when the vehicle approaches the target vehicle from an outer side of the curve, in the target trajectory modification process; and cause the vehicle to automatically run along the target trajectory modified through the target trajectory modification process.