Abstract: The invention relates to a method for a lane change of a plurality of vehicles (1-3) on a multi-lane road, the method comprising—controlling the vehicles to travel in a row in a first lane (L1), with a first of the vehicles (1) in front of a second of the vehicles (2), —thereafter controlling the first vehicle (1) so as to change lane to a second lane (L2) adjacent to the first lane (L1), —thereafter positioning the first vehicle (1) in a first position (P1) in the second lane (L2), and positioning the second vehicle (2) in a second position (P2) in the first lane (L1), the first position (P1) being less advanced in the direction of travel (M) than the second position (P2), and—thereafter controlling the second vehicle (2) so as to change lane to the second lane (L2), and thereby move in front of the first vehicle (1).

Abstract: Aircraft information systems, aircraft that include the aircraft information systems, methods of utilizing the aircraft information systems, and methods of configuring the aircraft information systems are disclosed herein. The aircraft information systems include a fixed computing device configured to be fixedly installed within an aircraft. The fixed computing device is programmed to provide a cabin function interface that provides cabin functionality for a cabin attendant of the aircraft and also to provide a mechanic function interface that provides mechanic functionality for a mechanic for the aircraft. The aircraft include a fuselage, at least one wing, at least one engine, and the aircraft information systems.

Abstract: Example aspects of the present disclosure describe the generation of more realistic trajectories for a moving actor with a hybrid technique using an algorithmic trajectory shaper in a machine-learned trajectory prediction pipeline. In this manner, for example, systems and methods of the present disclosure leverage the predictive power of machine-learning approaches combined with a priori knowledge about physically realistic trajectories for a given actor as encoded in an algorithmic approach.

Abstract: A sensor bias estimation device for estimating a bias of a yaw angular velocity sensor of a vehicle, includes: a bias estimation unit that acquires a yaw angular velocity integrated value by integrating a yaw angular velocity acquired from a yaw angular velocity sensor, acquires a GNSS azimuth from a GNSS unit which calculates, as the GNSS azimuth, an azimuth of the vehicle based on a GNSS signal, and acquires an estimated bias value based on an azimuth difference which is a difference between the yaw angular velocity integrated value and the GNSS azimuth; a first determination unit that determines whether a first condition that an accuracy of the GNSS azimuth acquired from the GNSS unit is within a prescribed range is met; and a bias decision unit that decides the estimated bias value as the bias of the yaw angular velocity sensor when the first condition is met.

Abstract: The disclosure relates to a steering control system, a steering control device, and a steering control method. According to an embodiment of the disclosure, there is provided a steering control device, comprising a receiver receiving sensing data from at least one of a rack bar position sensor or a rack force sensor, a controller generating a first control signal to move a road wheel actuator and a second control signal to move the road wheel actuator and a transmitter transmitting the first control signal and the second control signal to the road wheel actuator.

Abstract: A control device for a vehicle deceleration device of a vehicle including an electronics unit, with the aid of which a time curve of an input variable predefined by a driver of the vehicle with the aid of an actuation of the brake actuating element is evaluatable and the vehicle deceleration device is activatable taking into account the updated input variable and a characteristic curve, which specifies a relationship between the input variable and a setpoint variable with respect to a setpoint vehicle deceleration to be exerted on the vehicle with the aid of the vehicle deceleration device. The electronics unit detects at least one modulation and/or variation of the input variable triggered by the driver and reestablishes at least one subsection of the characteristic curve taking into account the at least one modulation and/or variation of the input variable (xinput) triggered by the driver.

Abstract: Provided are a longitudinal and lateral integrated moving horizon decision making method and apparatus for an autonomous vehicle in a snowy and icy environment based on trajectory prediction, with an aim of reducing the complexity of planning a lane-changing trajectory. The method includes: screening out at least one obstacle, planning a lane-changing trajectory according to the at least one obstacle, establishing a decision making model according to the lane-changing trajectory, and controlling the autonomous vehicle by designing a longitudinal and lateral integrated moving horizon decision making controller according to the decision making model. Further provided are a longitudinal and lateral integrated moving horizon decision making apparatus for an autonomous vehicle in a snowy and icy environment based on trajectory prediction and a storage medium.

Abstract: A method for a vehicle safety is described. The method includes determining a current steering angle at which a vehicle is traveling. The method also includes displaying the current steering angle relative to a steering angle scale. The method further includes guiding an operator of the vehicle through feedback provided through a steering wheel of the vehicle while displaying the current steering angle relative to the steering angle scale.

Abstract: The purpose of the present invention is to provide: a remote control terminal which can perform a remote control on a working vehicle easily and simply; and a working vehicle provided with a remote control terminal.

Abstract: A drone is for installing an object on a power line. The drone has a connection means for connecting the drone to the object, so that the drone may carry the object. A first engagement member is for engaging a second engagement member on the object. A power source is for operating the first engagement member so as to actuate a locking means on the object, via the second engagement member, for securely locking the object to the power line. The drone further has a device for limiting one or more degrees of freedom of the object relative to the power line before engaging the locking means.

Abstract: A movable body that moves automatically includes a plurality of sensors configured to detect an obstacle in a periphery of the movable body, a selection information acquisition unit configured to acquire selection information indicating a sensor, of the plurality of sensors, to be used for detection of the obstacle, the sensor being set based on a relationship between a reference position of the obstacle and a position of the movable body, and a detection control unit configured to cause the sensor indicated by the selection information to detect the obstacle, and identify a position of the obstacle from a detection result of the obstacle.

Abstract: This crane information display system is provided with a terminal device having a camera and captures an image of a crane with the camera to obtain a camera image, the crane information display system including a crane information acquisition unit that reads display information of an information display unit, which is mounted in the crane, from the camera image and acquires information about the crane; a position/orientation calculation unit that calculates the position and orientation of the crane from the camera image; an information processing unit that converts the information about the crane acquired by the crane information acquisition unit into three-dimensional image information corresponding to the position and orientation of the crane calculated by the position/orientation calculation unit; and an image display unit that overlays the information about the crane converted by the information processing unit on the camera image and displays the same.

Abstract: Systems and methods may include an unmanned lawn mower that includes a predictive model service. The predictive model service may be trained by a machine learning system and may serve to autonomously control the unmanned lawn mower. In this way, the unmanned lawn mower may navigate throughout a lawn and may cut the lawn and/or perform other lawn maintenance procedures during the navigation. The system may also include a variety of sensors and cameras to detect image data and environmental data of an area surrounding the unmanned lawn mower. The image data and the environmental data may be provided to the predictive model service in order to control the operation of the unmanned lawn mower in real-time.

Abstract: Techniques for determining gaps for performing lane change operations are described. A first region in an environment of a vehicle can be determined. The first region can be associated with a first time period through which the vehicle is unable to travel and can correspond to a constraint space. A second region of the environment can be determined. The second region can be associated with a second time period and can correspond to a configuration space. A gap in the environment can be determined based on a portion of the configuration space that is exclusive of the constraint space. A trajectory can be determined based on the gap. The trajectory can be associated with performing a lane change operation and can be associated with a cost. The vehicle can be controlled to perform the lane change operation based at least in part on the trajectory and the cost.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed that control vehicle steering. An example apparatus includes: a path acquisition interface configured to obtain, via a user interface a sampling interval; and a controller configured to, during acquisition mode: determine a steering angle of a wheel of the vehicle based on a trigonometric function including a distance associated with a turn radius of the front wheel; and cause, utilizing the steering angle, a global navigation satellite system (GNSS) receiver to travel from a first position to a second position, the GNSS receiver located at the first position at a first sampling time and the second position at a second sampling time, the first sampling time and the second sampling time differing by the sampling interval.

Abstract: In a parked vehicle, a head unit operating in low-power mode draws attention to a living being in a cabin of a parked vehicle. It does so by using a microphone to monitor said cabin for out-of-domain sounds, detecting a signal originating within said cabin, said signal being an acoustic signal that is representative of an out-of-domain sound, classifying said acoustic signal as being indicative of the existence of the living being within said cabin of said vehicle, and sending an alert to a first person.

Abstract: A seat apparatus for a vehicle includes an event detection unit configured to detect an occurrence of an event making a buzzer operate for each of plural seats sharing the buzzer, and a notification control unit configured to operate notification control of the buzzer in accordance with the event. The notification control unit is configured to prioritize and operate one of the plural notification controls which operate duplicately in a case where there are the plural seats in which the event occurs.

Abstract: An accurate and reliable maintenance method for controlling a condition of a wear and tear element of a track-bound vehicle includes determining a second condition of the element, being a chronological subsequent condition to a first condition, by starting from the first condition of the element, by using a machine learning algorithm, representing a chronological behavior of the element. A first action performable on the element is determined by using the determined second condition of the element and at least one predefined conditional criterion for the element. A resulting third condition of the element is determined by using a conditional change of the element. The conditional change is a consequence of the first performable action. A second performable action performable on the element is determined one more time by using the resulting third condition of the element and at least one predefined conditional criterion for the element.

Abstract: Techniques are described for determining weight distribution of a vehicle. A method of performing autonomous driving operation includes determining a vehicle weight distribution that values for each axle of the vehicle that describe weight or pressure applied on a respective axle. The values of the vehicle weight distribution are determined by removing at least one value that is outside a range of pre-determined values from a set of sensor values. The method further includes determining a driving-related operation of the vehicle weight distribution. For example, the driving-related operation may include determining a braking amount for each axle and/or determining a maximum steering angle to operate the vehicle. The method further includes controlling one or more subsystems in the vehicle via an instruction related to the driving-related operation. For example, transmitting the instruction to the one or more subsystems causes the vehicle to perform the driving-related operation.

Abstract: A method, system and non-transitory computer readable medium includes obtaining an electronic map of an agricultural field. One or more assignment instructions for each of a plurality of robotic systems in an assigned team are generated to optimize execution of a selected agricultural task with respect to at least one parameter based on the obtained electronic map, a number of the robotic systems in the team, and at least one capability of each of the robotic systems in the team. The robotic systems in the team are managed based on wireless transmission of the generated assignment instructions to the robotic systems.