Abstract: Embodiments of the present disclosure provide a method for lane changing decision for vehicles on expressways considering safety risks in a networked environment, which is applicable to a multi-lane expressway. The method includes collecting a demand for lane change of a target vehicle; collecting a roadway and a lane where the target vehicle is located; collecting intervals between the target vehicle and a front vehicle and a rear vehicle on a lane that is switching into; determining a lane change direction of the vehicle; and executing a lane change operation by the target vehicle. A lane changing decision model provided in the embodiments of the present disclosure helps to improve the efficiency of lane change and the safety of lane change in expressways and provides a support for changing lanes in a multi-lane expressway.

Abstract: In a control method for a robot including a manipulator and a force detector that detects an external force acting on the manipulator on three detection axes orthogonal to one another, a direction of the external force is detected by the force detector, and a degree of freedom of motion of a tool center point set for the manipulator according to the external force is limited based on the direction of the external force.

Abstract: A control system for a compactor is disclosed. The control system can include any one or combination of one or more position sensors, a steering system, a control interface and a controller. The controller can be in communication with at least the control interface and the one or more position sensors. The controller can be configured to receive data recording a position of the compactor when physically operating the compactor along at least a portion of the desired boundary of a compaction area, determine from the data a virtual boundary of the compaction area corresponding to the position of the compactor when physically operating the compactor along the desired boundary of the compaction area, and generate at least a first work plan for operating the compactor to compact in the compaction area up to the virtual boundary.

Abstract: A computer-assisted medical system includes a manipulator arm and a controller. The controller includes a computer processor and is configured to determine a kinematic configuration, the kinematic configuration being prior to an installation of a replacement tool on the manipulator arm. The kinematic configuration is of the manipulator arm and a previous tool attached to the manipulator arm and with an end effector of the previous tool located at an insertion location. The controller is further configured to determine a reference geometry of the previous tool in the kinematic configuration, determine an insertion trajectory for the replacement tool based on the reference geometry, and facilitate an insertion of the replacement tool toward a target location of the insertion trajectory by controlling the replacement tool to move in accordance with the insertion trajectory.

Abstract: In an example, a method determines a reference vehicle traveling in a first lane. The first lane merges with a second lane at a merging point. The method can determine a merging plan for a merging vehicle traveling in the second lane to merge into the first lane based on a vehicle position, and in some cases the speed, of the reference vehicle in the first lane. The method can overlay, via a display device, a virtual target in a field of view of a roadway environment of a driver of the merging vehicle based on the merging plan of the merging vehicle.

Abstract: An airport surface semantic path representation and an outlier taxiing pattern detection method for airport operation management, semantic conversion is realized based on dynamic features in an aircraft taxiing process, and after combining with surface map topology information, an airport surface aircraft semantic path representation is obtained; road segment geographic information is used to allocate a road segment weight to improve a longest common sub-sequence method, thereby constructing a flight path similarity matrix and using hierarchical clustering to realize surface taxiing pattern recognition; finally, by calculating the internal similarity of the identified patterns, the maximum outlier for identifying outlier patterns is obtained; after calculating the similarity between subsequent input flight paths and each pattern, as well as comparing a corresponding outlier with the maximum reachable outlier, the prewarning of outlier flight paths is achieved, the safety of surface management is ensured, and

Abstract: An apparatus, method and computer-readable storage medium are provided for laser ablation of a structural part. The method includes accessing a digital model of the structural part, and tiling the digital model into tiles that correspond to respective regions of the structural part. The method includes determining discrete tool paths of a machine tool for respective ones of the tiles for laser ablation of the respective regions of the structural part. And the method includes generating instructions for the machine tool to perform the laser ablation of the structural part according to the discrete tool paths.

Abstract: The various embodiments described herein generally relate to systems and methods for operating one or more self-driving vehicles. In some embodiments, the self-driving vehicles may include a vehicle processor being operable to: control the vehicle to navigate an operating environment in an initial vehicle navigation mode; monitor for one or more trigger conditions indicating a possible change for the vehicle navigation mode; detect a trigger condition; determine a prospective vehicle navigation mode associated with the detected trigger condition; determine whether to change from the initial vehicle navigation mode to the prospective vehicle navigation mode; and in response to determining to change from the initial vehicle navigation mode to the prospective vehicle navigation mode, adjust one or more vehicle attributes corresponding to the prospective vehicle navigation mode, otherwise continue to operate the vehicle in the initial vehicle navigation mode.

Abstract: Control calculation units of a back system in each actuator operate by a collaborative drive mode in which a torque is output to a motor drive unit by using an information transmitted and received mutually by a communication between the systems in common. Cooperative control calculation units in a reaction force actuator and a turning actuator can operate in cooperation with each other based on the information transmitted and received mutually by a communication between actuators. A communication between adjacent systems and a communication between adjacent actuators are restored, when a focus control calculation unit is restored, after the focus control calculation unit is stopped during operation and at least one of the communication between adjacent systems or the communication between adjacent actuators is interrupted.

Abstract: A method for controlling a position of a floor of a carriage of a railway vehicle moving on rails, relative to a platform. The carriage includes a body including the floor, at least one bogie, and at least one suspension interposed between the body and the bogie. The method includes determining a level difference between the actual position of the carriage relative to the platform and an expected position of the carriage relative to the platform, adjusting a height of the suspension for compensating the determined level difference. Determining the level difference includes capturing an image of at least one predetermined pattern comprised on the platform with a camera borne by the body, comparing the captured image with a memorized reference image of the at least one pattern of the platform, and calculating a vertical displacement from the images to determine the level difference.

Abstract: According to one embodiment, a handling system includes a movable arm, a holding unit, a sensor, and a controller. The holding unit is attached to the movable arm and capable of holding an object by selecting one or more of a plurality of holding methods. The sensor is capable of detecting a plurality of the objects. The controller controls the movable arm and the holding unit. The controller calculates a score based on a selected holding method for each object and each holding method on the basis of information acquired from the sensor. The controller selects a next object to be held and a holding method on the basis of the score. The controller calculates a position at which the selected object is held and a posture of the movable arm.

Abstract: An unmanned device acquires sensing data of surrounding obstacles; determines, for each obstacle, at least one predicted track of the obstacle in a future period of time based on the sensing data; determines, for each moment in the future period of time and according to the predicted track corresponding to the obstacle, a collision probability that a collision with the obstacle occurs at each position in a target region at the moment; and determines a global collision probability that the collision with the obstacle occurs in the entire target region at the moment. According to the global collision probability corresponding to each obstacle at each moment, the unmanned device controls the unmanned device in the future period of time.

Abstract: A collision probability calculation device is provided with: a setting unit that sets a two-dimensional area composed of direction components of a first direction and a second direction, and including a first estimated position where a vehicle is estimated to arrive in the future from a reference position; a first variance calculation unit for calculating a first variance value of first position information in the two-dimensional area; a second variance calculation unit for calculating a second variance value of second position information on a second estimated position where an object is estimated to arrive in the future at the time when the vehicle arrives at the first estimated position; and a probability calculation unit for calculating the probability of a collision between the vehicle and the object, using the two-dimensional area, the first position information, the second position information, the first variance value and the second variance value.

Abstract: To present a navigation directions preview, a server device receives a request for navigation directions from a starting location to a destination location and generates a set of navigation directions in response to the request. The set of navigation directions includes a set of route segments for traversing from the starting location to the destination location. The server device selects a subset of the route segments based on characteristics of each route segment in the set of route segments. For each selected route segment, the server device provides a preview of the route segment to be displayed on a client device. The preview of the route segment includes panoramic street level imagery depicting the route segment.

Abstract: Disclosed are a kinematics parameter calibration method and system of a multi-axis motion platform. The method comprises the following steps of: collecting calibration board images in different spatial positions according to a position relation between the platform and a camera, recording a corresponding motor motion amount, solving a hand-eye pose relation matrix and a pose matrix of a calibration board coordinate system in a platform tail end coordinate system, further solving a coordinate measured value of an angular point on the calibration board in a platform base coordinate system and a coordinate theoretical value of a position matrix of the tail end of the motion platform, determining a residual error matrix according to the measured value and the theoretical value, and identifying an error parameter by the residual error matrix to complete kinematics parameter calibration of the platform.

Abstract: The present disclosure discloses a method and apparatus for motion planning of a robot, a method and apparatus for path planning of a robot, and a method and apparatus for grasping of a robot. The method includes: when the robot operates on an object to be operated, performing, in combination with a space model of a real scene where the object is located, collision detection on the object and a collision subject in the space model; and determining a motion planning scheme for the robot corresponding to a result of the collision detection based on collision sensitivity of the object and collision sensitivity of the collision subject, the motion planning scheme being formed by the robot operating on the object.

Abstract: A robot is controlled using a combination of model-based and model-free control methods. In some examples, the model-based method uses a physical model of the environment around the robot to guide the robot. The physical model is oriented using a perception system such as a camera. Characteristics of the perception system may be are used to determine an uncertainty for the model. Based at least in part on this uncertainty, the system transitions from the model-based method to a model-free method where, in some embodiments, information provided directly from the perception system is used to direct the robot without reliance on the physical model.

Abstract: A display control ECU includes an information acquisition section and a display control section. The information acquisition section acquires information relating to a peripheral target object that is present ahead of the vehicle and in a subject vehicle lane in which the vehicle is currently traveling, and information relating to an object requiring caution that is present outside of the subject vehicle lane and having implications for control during the autonomous driving. The display control section displays an image of the peripheral target object, regarding which information has been acquired by the information acquisition section on a heads-up display provided inside a cabin of the vehicle, and additionally displays on the heads-up display an image of the object requiring caution in a case in which information relating to the object requiring caution has been acquired by the information acquisition section.

Abstract: The disclosure relates a method for generating a change of travel lane recommendation for a motor vehicle from a starting travel lane into a target travel lane, wherein the motor vehicle moves along the starting travel lane at an own speed. A current position of the motor vehicle along the starting travel lane is determined in a digital environment map. A known starting travel lane speed is stored in the digital environment map for the current position along the starting travel lane. A lane change assistant compares the own speed of the motor vehicle with the starting travel lane speed and generates the change of travel lane recommendation as soon as a deviation between the own speed and the starting travel lane speed reaches a predefined threshold.

Abstract: Techniques are discussed herein for executing and evaluating simulations and/or emulations based on parameterized scenarios, such as driving scenarios used to analyze and evaluate the responses of autonomous vehicle controllers. A surrogate model may be determined by simulating points in a simulation parameter space with a simulator to determine the surrogate model while capturing the main features of the simulation model. Additionally, relevant areas of the parameter space, such as, areas containing parameters associated with events occurring infrequently during simulations, may be quickly identified using Bayesian optimization techniques. An iterative evaluation of an acquisition function may delineate a contour associated with the region of interest, and the surrogate model may be evaluated to determine a probability of returning a result corresponding to a parameter being within the contour.