Abstract: A method for a multi-UAV formation to pass through a frame-shaped obstacle, includes: obtaining in real time distance between the frame-shaped obstacle and the UAV formation and displacement of the UAV formation during a flight process; constructing a relative position model between the frame-shaped obstacle and the UAV formation; constructing a UAV velocity control model; constructing a parameter model based on the distance, the displacement, and the relative position model; constructing a position estimation model of the frame-shaped obstacle and a relative position estimation model among the UAVs based on the parameter model; and designing, based on the constructed position estimation model, the relative position estimation model, and the UAV velocity control model, a controller for the UAV formation to pass through the obstacle, and controlling a flight velocity of the UAV formation through the controller to enable the UAV formation to pass through the frame-shaped obstacle.

Abstract: A method for platooning vehicles to pass by an intersection, includes obtaining, by a first vehicle controlling driving of a forward platoon, signal information of the intersection; determining, by the first vehicle, vehicle ranks of the forward platoon to pass by the intersection together based on the signal information; and determining, by the first vehicle, a second vehicle to control another driving of a following platoon to be separated from the forward platoon, in response to determining that the vehicle ranks do not pass by the intersection together.

Abstract: A method of identifying parametric outliers associated with vehicle pull/drift compensation may include receiving fleet data from a plurality of vehicles, the fleet data including pull/drift steering data associated with the plurality of vehicles, processing the pull/drift steering data to generate cleaned pull/drift steering data, and employing a machine learning module to define, for each of a plurality of respective different vehicle classifications, an outlier threshold for comparison to the cleaned pull/drift steering data to identify parametric outliers, and to identify the parametric outliers within each vehicle classification based on the comparison.

Abstract: A method navigates a robotic mower (2) comprising at least one sensor (12; 14). The method comprises detecting (S101), by means of the at least one sensor (12, 14), at least one signal from a wire (8) as a first signal source; controlling (S106) the robotic mower (2) to follow the wire (8) at a first distance (D1) to the wire (8); detecting (S108), by means of the at least one sensor (12, 14), at least one signal from a second signal source; detecting (S109) a second distance (D2) based on the at least one signal from the second signal source; and navigating (S110) the robotic mower (2) along a path determined based on the first distance (D1) and the second distance (D2).

Abstract: Systems and methods are provided for controlling a vehicle. In one embodiment, a method includes: receiving, by the controller, return data generated by a lidar device of the vehicle; determining, by the controller, at least one overlapping channel of redundant return data; determining, by the controller, an optimization framework of equations based on modeled errors of the at least one overlapping channel; solving, by the controller, the optimization framework using a least squares method to determine an error value; determining, by the controller, a state of health of the lidar device based on the error value; compensating, by the controller, the return data from the lidar device based on the error value; and controlling, by the controller, the vehicle based on the compensated return data.

Abstract: A method of obtaining a route from a point of departure to a destination includes providing route guidance through an augmented reality (AR) view including an image captured by a camera. To provide route guidance, as a user terminal moves toward a destination on the basis of an obtained route, when an interaction occurs between the user terminal and a node or a link in which predetermined information included in the route is registered, content associated with the predetermined information is augmented and displayed as guidance information on an image of an AR view.

Abstract: Systems and methods are provided to detect a motion event corresponding to at least one of a vehicle tow assembly, a winch assembly, or a gear guard cable. With the use of one or more cameras, the system captures images of a cable (e.g., a gear guard cable, a winch cable, or a tow cable). With the use of processing circuitry, a cable is identified in the captured images. The movement of the cable is tracked in the captured images. A motion event of the cable is identified based on the movement. In response to detecting the motion event, a vehicle comprised of the system and the cable performs an action.

Abstract: To calculate a path of movement of a moving body, a moving-body path calculation device includes: a deviation obtaining means that obtains a deviation of the moving body in a direction perpendicular to an ideal route; and a path calculating means that calculates the path of the movement of the moving body on a basis of a composite parameter including a parameter indicating the deviation of the moving body which deviation has been obtained by the deviation obtaining means.

Abstract: A vehicle is provided including a cabin interior, one or more sensors located on the vehicle and configured to capture images of the cabin interior and generate sensor outputs, one or more powered windows configured to be controlled between open and closed positions, and a controller processing the sensor outputs of the one or more sensors with one or more pet profiles to detect a pet in the cabin interior, the controller controlling the one or more powered windows based on the detected pet.

Abstract: In an operation control method of an integrated control apparatus for an autonomous driving vehicle, when a steering operation is performed on both of a first joystick lever and a second joystick lever to return to neutral positions after the steering operation, a lever which is always pivoted in an adduction direction is set to a function activation state, or a lever set to the function activation state during the steering operation is continuously maintained in the function activation state until the return to the neutral position is completed after the steering operation. In the present way, a user can more easily recognize the joystick lever in the function activation state.

Abstract: The disclosure is generally directed to a method and system for charge station management including collecting data related to a plurality of charge stations, the data identifying location data, an operator, and a data provider for each of the plurality of charge stations, collating the data to match the location data with the operators of each of the plurality of charge stations, and merging the location data based on a set of criteria including the data from each of the data providers within an identified geohash location. Merging includes setting a geohash about a data provider, and merging location data within the predetermined perimeter to remove redundant locations based on a set of criteria, including criteria identifying a same operator within the geohash.

Abstract: A control device for collision avoidance assistance includes a processor. The processor is configured to execute region setting processing for setting an assistance determination region indicating a particular region forward of a vehicle, and to execute accumulation processing in which the processor gives an object a determination value and accumulates the determination value. The object is located in the assistance determination region. The determination value is decided according to the position of the object. The processor is configured to perform collision avoidance assistance control of assisting in avoidance of collision of the vehicle and the object based on driving environment information indicating a driving environment of the vehicle, when a cumulative value regarding the object calculated in the accumulation processing exceeds a predetermined threshold value.