Abstract: An apparatus and method for controlling motor driven power steering system, the apparatus including: a column torque sensor detecting column torque applied to a steering column of a vehicle; an MDPS logic unit deciding a first command current based on the column torque and vehicle speed; a steering angle position control unit outputting a second command current for driving an MDPS motor in an autonomous driving mode, based on a command steering angle and a current steering angle inputted from an autonomous driving system and a steering angle sensor, respectively; a driver steering intervention determination unit monitoring the column torque of the column torque sensor in an autonomous driving mode, and determining whether a driver has intervened in steering; and an output control unit deciding a final command current by applying the weight decided by the driver steering intervention determination unit to the first and second command currents.

Abstract: A travel control device includes: a risk level calculation unit configured to acquire a speed in a traveling direction of a vehicle, a speed of the vehicle in a horizontal direction perpendicular to the traveling direction, and an azimuth angular velocity of the vehicle and calculate a rollover risk level based on a lateral load transfer ratio (LTR) of the vehicle; a deceleration calculation unit configured to calculate deceleration indicating an extent to which to lower the speed in the traveling direction when an absolute value of the rollover risk level exceeds a threshold value; and a control unit configured to control a driving system of the vehicle using a value obtained by lowering a target speed of the vehicle on the basis of the deceleration as a new target speed.

Abstract: The article pickup system includes: a camera that is provided in a mobile body capable of moving in an environment where a plurality of articles to be picked up are present and that acquires image data by capturing the plurality of articles; and an article pickup robot that moves in the environment and picks up the plurality of captured articles. The article pickup robot includes: a camera position acquisition unit that detects the camera and then acquires position information of the camera; an article position specification unit that specifies positions of the plurality of articles based on the position information of the camera; a mobile unit that moves to the specified positions; and a pickup unit that picks up the plurality of articles at the positions to which the mobile unit has moved.

Abstract: A function control method can be applied to a first device configured with a smart space semantic map and include: determining a first location of the first device in the smart space semantic map; determining, based on the first location, a second device in the smart space semantic map, the second device having the capability of executing a first function; and performing a predetermined action, to cause the second device to execute the first function.

Abstract: A driving assistance method for controlling an own vehicle by a controller in such a way that the own vehicle travels along a target travel trajectory includes: acquiring level-difference information of a level difference existing along a lane in which the own vehicle travels; and when, from the level-difference information, determining that the own vehicle is to climb over the level difference, generating the target travel trajectory in such a way that a level-difference climbing-over angle, which is an angle formed by the level difference and the target travel trajectory, is larger than a threshold value.

Abstract: A method includes obtaining gravity data of a terminal, determining that the terminal is in a first posture in a first time period determining a movement direction of a user in the first time period based on the first posture and azimuth data, determining that the terminal is in an unstable state in a second time period, determining a movement direction of the user in the second time period based on the movement direction in the first time period, determining that the terminal is in a stable state in a third time period, determining, by the terminal, a movement direction of the user in the third time period based on the movement direction in the second time period and azimuth data, and determining, by the terminal, a movement track of the user based on the movement directions of the user in all the time periods.

Abstract: Methods and systems for vehicles are provided for trailer steering assistance. The system includes a computer system onboard the vehicle and configured to, by a processor: monitor a front steering angle of the vehicle and a hitch angle of the vehicle as the vehicle and the vehicle trailer move in the reverse direction, dynamically adjust a rear steering angle of the vehicle as the vehicle and the trailer move in the reverse direction based on the front steering angle and the hitch angle to match the rear steering angle to the front steering angle while the hitch angle less than a predetermined hitch angle, and dynamically adjust the rear steering angle of the vehicle as the vehicle and the trailer move in the reverse direction based on the front steering angle and the hitch angle to maintain the hitch angle at the predetermined hitch angle.

Abstract: An optimal lane keeping assistance device of an articulated vehicle (100), in which a tractor (200) and a trailer (300) are connected via a fifth wheel coupling (400), includes a first sensor (520,540) which detects a tractor state variable, a second sensor (560) which detects a fifth wheel coupling (400) state variable, and an electric control unit (500) incorporating a microcomputer. The electric control unit (500) calculates a control variable (Uc) according to a target lateral displacement value (Yd), an output signal of the first sensor (520, 540), and an output signal of the second sensor (560), taking into account a feedback gain of an optimal control rule, to calculate a target steering angle (?f) of the tractor (200) according to the calculated control variable (Uc) and the output signal of the first sensor (520,540), and to assist steering of the tractor (200) based on the calculated target steering angle (?f).

Abstract: Controlling an actual slip of at least one driven axle of a motor vehicle with at least one axle having at least one wheel and a one drive unit for providing a drive torque for the axle and for the wheel can be carried out by a control device for controlling the drive unit. The control device can be configured for establishing a first actual speed of the motor vehicle; establishing a second actual speed of the at least one wheel; calculating a target speed of the at least one wheel for the established first actual speed taking into account parameters; determining an actual slip of the at least one wheel with respect to a substrate on which the motor vehicle is being moved; when the actual slip exceeds a defined first limit slip, generating a limit torque by which the drive torque produced by the drive unit is adjusted.

Abstract: In one aspect, a system for providing downforce control includes a seeder including a plurality of row units. One or more actuators are operably coupled with the plurality of row units and configured to adjust a downforce of the plurality of row units. A sensor is configured to detect one or more seeding parameters. A computing system is configured to control the operation of the plurality of row units. The computing system is further configured to receive an input associated with a target depth range of the row unit into an underlying field, receive data related to one or more seeding parameters, receive data related to an actual seeding depth; generate a command signal based on a differential between the actual seeding depth and the target depth range; and generate a force command for the one or more actuators to adjust a downforce of the plurality of row units.

Abstract: A mobile terminal includes an input unit that is capable of receiving input of a dispatch request and a destination and a position determiner that is capable of obtaining a terminal position which is its own current position. In accordance with the dispatch request, an autonomous vehicle is designated as a vehicle that is to be dispatched. The autonomous vehicle includes an autonomous driving controller that performs driving control so as to track the mobile terminal based on the terminal position while on its way to pick up the user.

Abstract: Among other things, we describe techniques for electric power steering torque compensation. Techniques are provided for a method implemented by a computer, e.g., a computer onboard an autonomous vehicle. A planning circuit onboard the vehicle and connected to an EPS of the vehicle determines a compensatory torque signal to modify an actual steering angle of a steering wheel of the vehicle to match an expected steering angle of the steering wheel. The planning circuit transmits the compensatory torque signal to a control circuit that controls the steering angle of the steering wheel. The EPS modifies the actual steering angle based on the compensatory torque signal resulting in a modified steering angle. The control circuit operates the vehicle based on the modified steering angle.

Abstract: A lane keeping control apparatus, a vehicle system including the same includes a processor that is configured to calculate a target lateral movement distance based on lane information during lane keeping control. The processor corrects the target lateral movement distance by correcting a heading angle of a vehicle and an offset from a target path before the vehicle reaches the target path and a storage stores data and algorithms driven by the processor.

Abstract: A system and a method of detecting and handling traffic congestion outliers by at least one processor. Embodiments of the present invention may include: receiving, from a plurality of information sources, data corresponding to at least one temporal, local traffic property; producing a local, time-based traffic profile based on the received data; receiving, from at least one information source, new data corresponding to at least one temporal, local traffic property; analyzing the new data in relation to at least one respective time-based traffic profile, to produce a score of the new data; and if the score surpasses a threshold, then identifying the data as originating from a local, temporal traffic congestion outlier and producing at least one recommendation for handling the traffic congestion outlier.

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: 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: 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