Abstract: A deployable device mountable on a carrier vehicle and configured to collect situation awareness data. The deployable device includes at least one recorder device configured to collect situation awareness data. The deployable device is capable of being ejected from the carrier vehicle and can be configured to operate as a vehicle and/or be towed by the carrier vehicle. The deployable device can continue collection of situation awareness data after being ejected.

Abstract: Systems and methods are provided for adjusting the creep torque to maneuver a vehicle to a target location. In various embodiments, the creep torque adjustment mode is deactivated when the driver changes the direction of travel. The change in direction also causes the parameters of the creep torque control to be reinitiated to their initial values. In various embodiments, the creep torque mode is increased from a low creep towards a target creep. If the driver engages the brakes, the input torque is set to zero, and when the driver releases the brake, the minimum creep torque is set to the value that creep torque had risen to just before the brake was applied. This allows the driver to control the acceleration and speed, by just braking. In various embodiments, the creep control controls reverse creep to aid in hooking up a vehicle to a trailer.

Abstract: Methods and systems are provided for traction detection and control of a self-driving vehicle. The self-driving vehicle has drive motors that drive drive-wheels according to a drive-motor speed. Traction detection and control can be obtained by measuring the vehicle speed with a sensor such as a LiDAR or video camera, and measuring the wheel speed of the drive wheels with a sensor such as a rotary encoder. The difference between the measured vehicle speed and the measured wheel speeds can be used to determine if a loss of traction has occurred in any of the wheels. If a loss of traction is detected, then a recovery strategy can be selected from a list of recovery strategies in order to reduce the effects of the loss of traction.

Abstract: The disclosed is a method for forecasting a demand load during navigation of a ship based on working condition classification. The method of the disclosure comprises: training historical data values by employing a least squares support vector machine to obtain a classification plane, classifying working conditions during the navigation into a fast-changing working condition and a stable working condition, and determining in real time a working condition type of the ship in an online stage. A method for forecasting a demand load by means of a Markov chain is employed for the stable working condition, and a method for forecasting a demand load by means of a radial basis function neural network optimized by a genetic algorithm is employed for the fast-changing working condition. A desirable forecasting effect can be achieved by selecting forecast models suitable for either type of working condition.

Abstract: A method S100 can include: determining a set of inputs Silo; determining a vehicle state estimate S120; determining a vehicle command based on the vehicle state estimate S130; and optionally controlling the vehicle based on the vehicle command S140. However, the method S100 can additionally or alternatively include any other suitable elements. The method S100 functions to facilitate vehicle reversal and/or tractable vehicle control (e.g., during reversal). Additionally or alternatively, the method can function to reduce and/or eliminate unrecoverable vehicle state incidence during vehicle reversal (a.k.a., vehicle backing). Additionally or alternatively, the method can function to autonomously augment and/or assist vehicle control (e.g., during vehicle reversal).

Abstract: A recognition device includes an acquisition unit configured to acquire a first detection result from a LIDAR that detects a target present in a traveling direction of a vehicle and to acquire a second detection result from a camera disposed so that the detection range overlaps that of the LIDAR, and a recognition unit configured to recognize a target present around the vehicle on the basis of the first detection result and the second detection result, in which the recognition unit executes exclusion processing of excluding a target, that satisfies all of a first condition indicating that a target is present within a predetermined distance from the vehicle, a second condition indicating that a target is detected by the LIDAR and is not detected by the camera, and a third condition indicating that a width of a target is equal to or less than a predetermined value and a detection duration thereof is equal to or less than a predetermined time, from a result of recognition recognized as a target present around th

Abstract: A system and to a method executed in a vehicle control unit for controlling wheel slip of a vehicle, wherein the vehicle comprises at least two wheels driven by at least primary actuator via an open differential. The primary actuator is controlled to rotate at a speed resulting in a slip ?em of the primary actuator. A signed wheel slip limit ?lim is determined by adding a configurable value to the slip ?em of the primary actuator, such that ?lim>?em. The at least two wheels are controlled to rotate at wheel speeds resulting in respective wheel slips ?l, ?r below the signed wheel slip limit ?lim, wherein each one of ?l, ?r and ?em are signed numerical values.

Abstract: An evaluation of the speed of movement of a rear wheel of a motor vehicle on the ground, in particular on the inside of a bend, is made exclusively according to the speeds of the front wheels, in situations in which a direct measurement is not possible or in order to accurately evaluate occurrences of wheel lock-up or wheel slip. The invention can be applied to improving the braking setpoints when cornering.

Abstract: An information processing apparatus controls a vehicle having a service power supply used to provide a service and a driving power supply used for traveling. The information processing apparatus has a storage unit configured to store service-related information concerning the service provided by the vehicle, and a controller configured to select any of a first mode, in which the service power supply and the driving power supply are independently used, and a second mode, in which the service power supply and the driving power supply are shared, based on the service-related information.

Abstract: The present invention obtains a controller and a control method capable of appropriately executing adaptive cruise control of a straddle-type vehicle. In the controller and the control method according to the present invention, when braking forces are generated on at least one of wheels of the straddle-type vehicle during the adaptive cruise control, in which the straddle-type vehicle is made to travel according to a distance from the straddle-type vehicle to a preceding vehicle, motion of the straddle-type vehicle, and a rider's instruction, at a braking start time point at which the braking force starts being generated on at least one of the wheels, braking force distribution between the front and the rear wheel is brought into an initial state where the braking force is generated on the front wheel.

Abstract: In a route generating system a work vehicle setting unit sets a vehicle information on a tractor. An altitude information obtaining unit obtains altitude information on a field where an autonomous travel route is to be generated. A traveling direction setting unit sets a traveling direction of the tractor in the field. A region setting unit sets, in the field, a plurality of regions including a work region where autonomous work paths in parallel with the traveling direction are generated and headlands where connection paths each connecting corresponding ones of the autonomous work paths are generated. The region setting unit sets the widths of the headlands (headland widths) based on the vehicle information, the altitude information, and the traveling direction, the widths of the headlands extending in parallel with the traveling direction.

Abstract: In response to confirmation request from an onboard terminal in a state where updated data after start of a temporary road change is available, a map update server distributes the updated data and instructs the onboard terminal to temporarily use the updated data. In response to the confirmation request in a state where the updated data after end of a temporary road change is available, the server instructs the onboard terminal to use the updated data from before the start of the temporary road change. In response to being instructed to temporarily use the updated data, the terminal uses the updated data that has been distributed. In response to being instructed to use the updated data from before the start of a temporary road change, the terminal temporarily uses the updated data by using map data from before the start of the temporary road change instead of the updated data.

Abstract: The present invention obtains a controller and a control method capable of achieving appropriate cornering during cruise control of a straddle-type vehicle. In the controller and the control method according to the present invention, during the cruise control, in which acceleration/deceleration of the straddle-type vehicle is automatically controlled without relying on an accelerating/decelerating operation by a driver, a vehicle speed of the straddle-type vehicle is restricted to be equal to or lower than an upper limit speed at the time of turning, an exit of a curved road is detected on the basis of a predicted route of the straddle-type vehicle, and a magnitude of the deceleration of the decelerated straddle-type vehicle is reduced at a time point before the straddle-type vehicle reaches the exit.

Abstract: The invention provides a method for controlling a vehicle (1) comprising a drivetrain comprising at least one drive device (2) adapted to generate mechanical power, the method comprising—controlling the vehicle to perform a mission comprising a plurality of stages (MS1-MS12), —collecting operational data relevant to the operation of the drivetrain, wherein the operational data indicate a de-rate of a component of the drivetrain, a fault of a component of the drivetrain, and/or an environmental condition which influences the drivetrain operation, —determining an expected mission stage (MS1-MS12), —determining, in dependence on the operational data, the propulsive capacity (CA1-CA3) in at least two different operational areas (A1-A3) of the drive device (2), —mapping the operational area propulsive capacities (CA1-CA3) to the expected mission stage (MS1-MS12), and —controlling the vehicle (1) in dependence on said mapping.

Abstract: In an apparatus for controlling a vehicle equipped with an autonomous sensor and a communication unit, an object detector is configured to determine whether a predefined mobile-object condition is met, where the predefined mobile-object condition indicates that a mobile object detected from detection information received from an external device via the communication unit and a mobile object detected from detection information acquired from the autonomous sensor are the same object. An occupant assister is configured to perform occupant assistance for assisting an occupant of the vehicle, and configured to, in response to a detection accuracy condition being met, determine a mode of occupant assistance as a first mode, and in response to neither the detection accuracy condition nor the mobile-object condition being met, determine the mode of occupant assistance as a second mode is different from the first mode.

Abstract: A driver command predictor includes a controller, multiple sensors, and a command prediction unit. The controller is configured to command an adjustment of multiple motion vectors of a vehicle relative to a roadway in response to multiple actual driver commands and multiple future driver commands. The actual driver commands are received at a current time. The future driver commands are received at multiple update times. The update times range from the current time to a future time. The sensors are configured to generate sensor data that determines multiple actual states of the vehicle in response to the motion vectors as commanded. The command prediction unit is configured to generate the future driver commands at the update times in response to a driver model. The driver model operates on the actual driver commands and the actual states to predict the future driver commands at the update times.

Abstract: Provided is a method of generating and controlling a driving path for an autonomous vehicle, the method including generating a driving path that matches a driving intention on the basis of sensing data acquired from a sensing module of the autonomous vehicle, determining steering angle information corresponding to the generated driving path, and controlling a steering angle of the autonomous vehicle.

Abstract: A method for preventing a forward flip-over or a flip-over about the vehicle transverse axis of a single-track motor vehicle, during a braking action of its front wheel. In the method, a lift-off indicator parameter is ascertained, which represents the flip-over hazard by a rear wheel at risk of lifting off or already having lifted off the ground surface, and the braking force at the front wheel is reduced as a function thereof to prevent a flip-over.

Abstract: A method for steering an articulated vehicle traveling on a road, the vehicle comprising a tractor and a trailer, the method comprising determining a position of the tractor in relation to the road, and adjusting the steering in dependence on the determined tractor position. The method further comprises determining an orientation of the trailer in relation to the road, and/or an angular velocity of the trailer in relation to the road, and adjusting the steering in dependence on the determined trailer orientation and/or the determined angular velocity.

Abstract: A method and a device for ascertaining a dynamic tire circumference of a transportation vehicle. The method includes: receiving a first signal representing a yaw rate of the transportation vehicle, a second signal representing a wheel rotation speed of a wheel of the transportation vehicle, a third signal representing a steering angle of the transportation vehicle, and a fourth signal representing a dynamic track width of the transportation vehicle; ascertaining a first output signal of a first Kalman filter that represents the dynamic tire circumference of the wheel, using the first signal, the second signal, the third signal, and the fourth signal as input signals for the first Kalman filter; and using the first output signal in a control unit of the transportation vehicle.