Abstract: The present disclosure relates to an information processing apparatus, a method, and a program capable of causing a system to efficiently learn a method of controlling a person. A control learning system calculates a reward based on an input objective state of a control target and a state of the control target based on a sensing result of the control target. The control learning system performs reinforcement learning using the calculated reward and the state of the control target to select a better action for bringing the control target closer to the objective state. The control learning system executes the selected action for the control target. For example, the present disclosure can be applied to a control learning system including a terminal and a cloud system.

Abstract: A method and system for co-ordinating control of a plurality of sensorless devices. Each device includes a communication subsystem and configured to self-detect one or more device properties, the device properties resulting in output having one or more output properties. The method includes: detecting inputs including the one or more device properties of each device, correlating, for each device, the detected one or more device properties to the one or more output properties, and co-ordinating control of each of the devices to operate at least one of their respective device properties to co-ordinate one or more output properties for the combined output to achieve a setpoint. In some example embodiments, the setpoint can be fixed, calculated or externally determined.

Abstract: Provided is an information processing apparatus used for program development. The information processing apparatus includes: a holding unit that holds a behavior verification scenario that defines the order of operation to be invoked; and an evaluation unit that compares operation that the program sequentially invokes with the behavior verification scenario to perform evaluation or verification of the program. The program execution control unit drives the program according to environment information input from the outside, the evaluation unit compares operation sequentially invoked by the program execution control unit according to the environment information with an order of operation defined in the behavior verification scenario to evaluate or verify the program.

Abstract: Systems and methods for controlling a drilling rig. The system includes a first layer including a plurality of subsystem controllers coupled with a plurality of rig subsystems, the plurality of subsystem controllers being configured to control operating parameters of the plurality of rig subsystems. The system also includes a second layer configured to receive information from the first layer based on an operation of the plurality of rig subsystems, and to provide control of the plurality of rig subsystems. The system further includes a third layer configured to execute one or more process applications and to provide a task-based command to the second layer.

Abstract: A program for light commercial building system (LCBS) solutions. Solutions and other systems may incorporate lightweight alerting service, auto-adjustment of gateway poll rates based on the needs of various consuming applications, detecting loss of space comfort control in a heating, ventilation and air conditioning (HVAC) system, HVAC capacity loss alerting using relative degree days and accumulated stage run time with operational equivalency checks, and HVAC alerting for loss of heat or cool capacity using delta temperature and dependent system properties. Also, incorporated may be triggering s subset of analytics by automatically inferring HVAC equipment details from controller configuration details, ensuring reliability of analytics by retaining logical continuity of HVAC equipment operational data even when controllers and other parts of the system are replaced, and an LCBS gateway with workflow and mechanisms to associate to a contractor account.

Abstract: Embodiments provided herein relate to enforcing a device restriction policy. A device restriction policy may be stored that maps one or more portions of a household with particular household occupants of a plurality of household occupants. A request may be received to activate the device restriction policy on a household occupant. The device restriction policy may be activated against the household occupant based on the received request. One or more electronic devices may be disabled that are located in a portion of the household linked with the household occupant based on the received request and the device restriction policy.

Abstract: An on-demand production system for accessories for use with electronic devices is configured to generate digital templates defining the design of the accessories and provide the digital templates to retail or other locations. The retail or other locations may receive access to the digital templates automatically and/or electronically within a week, a day, or even minutes, of the digital template being created. When a customer requests an accessory, the digital template may be accessed. Using an electronic production machine and a supply of stock material, the accessory can be cut, formed, printed, or otherwise produced based on instructions or designs of the digital template. The electronic production machine may automatically read the digital template to automate the production at a retail location. The electronic production machine may produce the accessory on-demand, and production of the accessory may be completed within two hours, or potentially within ten minutes, of a request.

Abstract: Techniques are described controlling and managing machines to provide laundry services. A request may be received from a mobile device of a user, the request indicating that the mobile device is in proximity to a laundry machine such as a washer or dryer. In some cases, the request is sent by the mobile device based on detecting, at the mobile device, a wireless signal transmitted from the laundry machine. In some cases the request may include a code that identifies the laundry machine, the code being displayed by the machine and/or encoded in a scannable code displayed by the machine. In response to the request, a signal may be sent to activate the laundry machine and enable the user to use the laundry machine for a predetermined period of time (e.g., a cycle). In some cases, the activation signal is sent if the user's payment is successfully processed.

Abstract: Home automation device for package delivery and receipt comprising at least one smart locker with one or several receptacles, each one provided with a door with a lock with automatic opening controlled through an electronic board linked to a touch screen on each locker, which is installed within the building, entrance hall or location on the property of the home of one or more users of the service, or else in a separate location; and a home automation video-entry phone installed externally to said building or location, next to the entrance connected to its lock, equipped with at least one video camera, a touch screen, a QR code reader, an internet connection module and a programmable operating system with specific software to give access to this entrance using the QR code that the reader detects, in order to be linked to a mobile phone application.

Abstract: A convenient, water-saving and labor-saving FROG irrigation controller and system are provided, which determine the appropriate water budget and schedule for the property's landscaping based on evapotranspiration data for the geographic area, any regulation data, and property-specific data, with consideration given to reduction in watering days, increase in soil watering depth, and day of year. Once set, the FROG controller provides incremental adjustments over the course of the year; the homeowner no longer needs to re-set the watering program seasonally to automatically comply with local mandated and voluntary watering restrictions. One aspect provides a web-based wizard that is used to determine a customized water budget/schedule which is input into the FROG controller. Another aspect provides an integration of a network of FROG controllers with a central command unit.

Abstract: An artificial intelligence device mounted on a wine refrigerator including one or more divided spaces includes an input unit, a processor, and an output unit. The input unit is configured to recognize a wine label of each space and recognize an image for determining opening or non-opening of a wine. The processor is configured to acquire wine information by using an artificial intelligence model that receives image data acquired from the input unit as an input value, create a wine list table of each space by using the acquired information, and group wines having the same storage condition into at least one group according to the wine list table, and perform a control such that a temperature of each space is set based on the storage condition of the group. The output unit is configured to output a signal received from the processor.

Abstract: The system generally includes a crosspoint switch in the local data collection system having multiple inputs and multiple outputs including a first input connected to the first sensor and a second input connected to the second sensor. The multiple outputs include a first and second output configured to be switchable between a condition in which the first output is configured to switch between delivery of the first sensor signal and the second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal from the first output and the second sensor signal from the second output. Each of multiple inputs is configured to be individually assigned to any of the multiple outputs. Unassigned outputs are configured to be switched off producing a high-impedance state.

Abstract: The present disclosure relates to a method for parameterizing an automation field device which is communicatively connected to a server, having the following steps: initiating the method by transmitting a command to parameterize the field device on the server; transmitting identification information of the field device to the server; ascertaining a digital image of the field device stored on the server using the transmitted identification information, said digital image containing configuration settings of the field device and measurement location-relevant information and being designed to reproduce the behavior of the field device in a simulated or emulated manner; generating and proposing a parameter set for the field device using the field device information; selecting and confirming the proposed parameter set by a user; and transmitting the confirmed parameter set to the field device and parameterizing the field device using the transmitted parameter set.

Abstract: An inter-variable dependency analyzing unit (310) analyzes a relation between an argument and a return value between instructions of a plurality of instructions included in a sequence control program, which is a control program written in a language for sequence control. A PLC instruction sorting/division unit (312) at least either changes an instruction execution order of the plurality of instructions or divides the sequence control program in units of instructions, based on the relation between the argument and the return value between the instructions analyzed by the inter-variable dependency analyzing unit (310).

Abstract: A control system for operation of an industrial machine includes a processor and a tangible, non-transitory, computer-readable memory communicating with the processor. The tangible, non-transitory computer-readable memory includes instructions that, in response to execution by the processor, cause the processor to perform operations including: receiving image data from an imaging device that monitors an image zone around the industrial machine, and analyzing the image data. The processor further performs operations including determining, based upon the analyzing, that the control system is functional, determining, based upon the analyzing, that the image data includes at least one of a predefined color, a predefined pattern, and a predefined shape, and transmitting a proximity signal to at least one relay module coupled between the processor and the industrial machine to halt operation of the industrial machine.

Abstract: A method for initializing individual exposure field parameters of an overlay controller is disclosed including initializing a first control thread having a first context associated with a first product type, wherein a first layout of first exposure fields is defined for the first product type for processing in a stepper. The method further includes remapping a set of previous control state data for a set of control threads associated with other product types different than the first product type into the first layout. The other product types have layouts of second exposure fields different than the first layout. An initial set of control state data for the first control thread associated with the first product type is generated using the remapped previous control state data. The stepper is configured for processing a first substrate of the first product type using the initial set of control state data.

Abstract: A numerical control device includes: a tool-side displacement measurement unit; a workpiece-side displacement measurement unit; a drive signal measurement unit; a relative displacement calculation unit between the tool and the workpiece; a relative displacement prediction unit calculating a relative displacement predicted value from the drive signal, from a prediction model representing a relationship between the drive signal and the relative displacement; a model parameter operation unit generating prediction model parameters constituting the prediction model, from the drive signal, the relative displacement, and the predicted value; and a command value correction unit outputting a post-correction position command obtained by correcting a position command to the drive unit using the prediction model parameters. The model parameter operation unit changes the prediction model parameters to reduce a difference between the relative displacement and the predicted value.

Abstract: A substrate processing system includes a processing unit including processing modules and a first transfer device, a loading/unloading unit including a load port holding a substrate accommodating container and a second transfer device, and a control unit. The control unit controls the substrates to be sequentially transferred.

Abstract: A numerical control device of a machine tool recognizes a failure of a vibration detection unit in a relatively short time to minimize damage to functions achieved using the vibration detection unit. A program interpreting unit interprets an automatic tool exchange operation, and a storage unit is instructed to store vibration information V(x) from the vibration detection unit. After the automatic tool exchange operation is finished, the storage unit is instructed to stop storage. When none of the vibration information V(x) stored in the storage unit exceeds a prescribed vibration level, a vibration information analysis unit determines abnormality of the vibration detection unit.

Abstract: A measuring device for a spindle or for a rotary table includes at least two first and second position sensing elements and a scale element, having a first and second graduations and being rotatable about an axis of rotation relative to the position sensing elements. The first graduation includes regular structures arranged in parallel next to one another along a first direction, having a directional component in the circumferential direction. The second graduation includes regular structures arranged in parallel next to one another along a second direction, having a directional component in the axial direction. The first position sensing elements are offset from one another in the circumferential direction, and are able to scan the first graduation so that the position of the scale element in a plane having an orthogonal orientation to the axis of rotation is determinable.

Abstract: A diagnostic device for monitoring the operation of a technical plant with an automation system, wherein the diagnostic device includes a data memory in which at least one data set characterizing the operation of the plant with values of process variables can be stored, and an evaluation device, where the diagnostic device is characterized in that the evaluation device is configured to determine a diagnostic statement about the operation of the technical plant based on the data set and at least one self-organizing map and based on a program for controlling a sequence during the operation of the technical plant with repeatedly traversed step sequences via a Dynamic Time Warping method.

Abstract: One example embodiment of the present invention is a control system for an actuator that is controlled by a pulse width modulation (PWM) signal. The control system includes at least two controllers that are connected to the actuator. Each of the controller sends an independent sequence of PWM signal to the actuator. The actuator is controlled by a combination of the PWM signals from all the controllers together. The controllers are synchronized by a clock signal that provides a sequence of periodic clock interval and the PWM signal from each controller occupies a separate and non-overlapping clock interval from the PWM signal of other controllers.

Abstract: Provided are a numerical controller, a numerical control method, and a numerical control program capable of suppressing reduction in machining surface quality while increasing machining efficiency. A numerical controller comprises: a program analysis unit that analyzes a machining program for controlling a machine tool and calculates a cumulative moving distance for each command block based on a designated coordinate; a control point generation unit that generates, based on the moving distance and a designated speed for each command block, a control point as a set of the moving distance and the speed at a start point and an end point in the command block; a commanded speed generation unit that generates a parametric curve defining a commanded speed for the moving distance based on the control points; and a commanded speed output unit that outputs the generated commanded speed per interpolation unit.

Abstract: The disclosure notably relates to a computer-implemented method for designing an outer surface of a composite part manufactured by molding a stack of material layers. The method includes defining constant offset surfaces, a constant offset surface being a respective part of the outer surface which is to have a constant offset value relative to the reference surface, the constant offset value of a respective constant offset surface corresponding to the sum of the thicknesses of the material layers below the respective constant offset surface, and determining a final surface that corresponds to a tangent continuous connection of the constant offset surfaces. This provides an improved solution for designing an outer surface of a composite part.

Abstract: To provide a data collection system, a data collection method, and a controller capable of transmitting measured data with appropriate timing while reducing load on a controller and a network. A controller comprises: a data acquisition unit that acquires measured data about a machine in chronological order; a timing control unit that buffers the measured data and controls timing of transmitting the measured data to a server based on a transmission condition; a data transmission unit, in response to instruction by the timing control unit, the data transmission unit transmitting the measured data to the server having been buffered until the instruction is given; and a transmission condition acquisition unit that receives the transmission condition decided by the server in response to a degree of state abnormality occurring during control determined based on the transmitted measured data.

Abstract: The present invention relates to a method for handling a coating material, comprising the following steps: marking the coating material with a mark to identify a first information relating to the coating material, storing the first information relating to the coating material on a cloud-based server, and recording the marker of the coating material, thereby making the first information relating to the coating material accessible via the cloud-based server.

Abstract: A system for managing physical assets in a manufacturing system includes a plurality of product controllers corresponding to physical assets in the manufacturing system. Each product controller is configured to store a desired product state for a physical asset and collect sensor data received from other digital companions. Furthermore, each product controller determines an actual product state based on the collected sensor data, as well as one or more actions to be performed on one or more physical assets in the manufacture system to yield the desired product state. Once the actions are determined, the product controller transmits control instructions for performing the one or more actions to one or more operation controllers in the manufacturing system.

Abstract: A work management device manages a board work line having multiple board work machines for performing work on a board. The work management device includes a problem detection section configured to detect that a problem has occurred in any of the multiple board work machines; a handling method database configured to accumulate handling methods for problems; an updating section configured to update handling methods for problems at any time; and a work instruction section configured to extract and indicate to an operator a handling method for a problem from the handling method database when the problem detection section detects that the problem has occurred.

Abstract: An industrial data presentation system leverages structured data types defined on industrial devices to generate and deliver meaningful presentations of industrial data. Industrial devices are configured to support structured data types referred to as basic information data types (BIDTs) comprising a finite set of structured information data types, including a rate data type, a state data type, an odometer data type, and an event data type. The BIDTs can be referenced by both automation models of an industrial asset and non-automation models of the asset, allowing data points of both types of models to be easily linked using a common data source nomenclature.

Abstract: Automated control methods used to manage the life cycle of complex engineering facilities such as nuclear, thermal power, and hydroelectric power plants. The invention can be applied at the design, construction, operation and disposal stages of such facility. The system of life cycle management ensures configuration management, identifying and documenting the characteristics of structures, systems, and elements of a facility, and ensures that changes to these characteristics are properly designed, verified, approved, released, implemented, tested, recorded, and reflected in documentation.

Abstract: Embodiments disclosed herein generally relate to methods, systems, and non-transitory computer readable medium for scheduling a substrate processing sequence in an integrated substrate processing system. A client device assigns a processing sequence to each substrate in a batch of substrates to be processed. The client device assigns a processing chamber to each process in the process sequence for each processing chamber in the integrate substrate processing system. The client device generates a processing model for the batch of substrates. The processing model defines a start time for each substrate in each processing chamber. The client device generates a timetable for the batch of semiconductor substrates based off the processing model. The client device processes the batch of substrates in accordance with the timetable.

Abstract: A system and method for controlling movement of transporting devices arranged to transport containers stored in stacks arranged in a facility having pathways arranged in a grid-like structure above the stacks, the transporting devices being configured to operate on the grid-like structure. A movement optimisation unit is configured to determine a route of a transporting device from one location on a grid-like structure to another location on the grid-like structure for each transporting device. A reservation unit is configured to reserve a path on the grid-like structure for each transporting device based on the determined route. A clearance unit is configured to provide clearance for each transporting device to traverse a portion of the reserved path.

Abstract: A plant data classification device according to one aspect of the invention includes: a data classification unit that classifies multidimensional operation data into categories; an evaluation index calculation unit that calculates an evaluation index of a category from a value of the operation data; a classification result evaluation unit that calculates a variation in the evaluation index for each category and determines whether the variation in the evaluation index is less than or equal to a reference value; and a parameter changing unit that changes, when it is determined that the variation in the evaluation index exceeds the reference value, a value of a parameter that defines a size of a category of the data classification unit in a direction of decreasing the size of the category.

Abstract: An anomaly detection module is configured to apply a plurality of machine learning models to received technical status data to detect one or more indicators of an abnormal technical status prevailing in the industrial process system. The plurality of machine learning models are trained on historic raw or pre-processed sensor data and the anomaly detection module configured to generate the anomaly alert based on the one or more indicators. The received technical status data is assigned to signal groups and the generated anomaly alert is a vector with each vector element representing a group anomaly indicator for the respective signal group. Each vector element is determined by applying a respective group specific machine learning model.

Abstract: Provided in various embodiments are an electronic device and a method for controlling the operation of the electronic device, the electronic device comprising: a housing; a conductive element positioned at a part of the housing or inside the housing; a sensing circuit electrically connected to the conductive element and sensing that an external object comes in contact therewith or is close thereto; and a processor, wherein the processor detects the generation of an interrupt, confirms whether the generated interrupt is a predetermined interrupt, and can reset the sensing circuit on the basis of the result produced by confirming whether the generated interrupt is a predetermined interrupt, and/or an output value of the sensing circuit. In addition, various embodiments are possible.

Abstract: This system includes a data collection device, a data accumulation device, and a data reproduction device. The data collection device includes: a first reception unit that receives first signal data transmitted to a first existing network; a second reception unit that receives second signal data transmitted to a second existing network; a count-up unit that counts up a unique collection number at a fixed time interval; and a data synchronization processing unit that associates, when the first reception unit receives the first signal data, the collection number at the time of the reception with the first signal data and associates, when the second reception unit receives the second signal data, the collection number at the time of the reception with the second signal data, and performs accumulation in the data accumulation device.

Abstract: A communication robot for controlling an output device by performing an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G communication environment for Internet of Things (IoT), and a method for driving the same, are disclosed. Accordingly, the communication robot may control an output device based on a result of searching for at one or more output devices disposed in the given space and an operation mode of the communication robot, resulting in enhanced performance of the communication robot.

Abstract: An industrial vehicle remote control system includes a forklift that has a vehicle communication unit and a remote control device that has a remote communication unit and is used to remotely control the forklift. A vehicle wireless CPU of the industrial vehicle remote control system acquires the received radio wave intensity of a remote control signal by which the two communication units wirelessly communicate, and, on the basis of the results thereof, determines whether the forklift is positioned in a permission range or in a prohibition range.

Abstract: This invention is directed toward a method by which a user desiring drone footage from a location can hire a drone owner near that location to set up the drone for remote control flight at the location. The user and owner can agree to a set of parameters prior to the flight which determine the environmental conditions under which the flight can take place, the duration of the flight, any safety protocols the parties agree to, etc. One the parameters are met, the drone owner takes the drone to the location, the user remotely connects to the drone and flies the drone subject to the parameters, then downloads the footage taken by the drone during the flight.

Abstract: A method for controlling the operation of an automatic driving assistance system of a motor vehicle, which is designed for independent vehicle guidance. When at least one driving control takeover condition is met which brings about deactivation of the driving assistance system when driving control is taken over by the driver, at least one takeover request is output to the driver. If the driver does not react to this takeover request, replanning of the original route occurs with an original destination to a stopping point which can be approached in an automated manner. The replanning occurs in such a way that the stopping point constitutes, in the context of the present position of the motor vehicle with respect to the original destination, an optimum stopping point which is determined according to at least one optimality criterion.

Abstract: The present disclosure provides a method and an apparatus for vehicle control. The method includes: obtaining (101) manual operation information of a vehicle; determining (102) an intervention intention of a driver based on the manual operation information; and controlling (103), when the vehicle is currently in an automated driving mode and the intervention intention is determined to be a slow intervention, the vehicle to reach a predetermined safe state and handing corresponding control of the vehicle over to the driver. The method and apparatus can solve potential safety problems in vehicle control and improve safety of the vehicle control.

Abstract: An autonomous aerial vehicle (AAV) includes a plurality of lightbulb changers and an actuator for controlling the plurality of lightbulb changers. A structure database stores structure data corresponding to a structure, the structure data including coordinate data corresponding to three-dimensional coordinates of a location that facilitates an unobstructed view of a plurality of exterior lights of the structure, the structure data further including schematic data that indicates positions on the structure of the plurality of exterior lights. A flight control system controls a position of the AAV, based on the coordinate data, to the location that facilitates the unobstructed view of the plurality of exterior lights of the structure. A camera captures image data corresponding to the unobstructed view of the plurality of exterior lights of the structure. A processor controls the AAV to perform a lighting inspection procedure and/or a lightbulb replacement process.

Abstract: An information processing device (20) includes a route acquisition unit (202) and an automatic driving section determination unit (204). The route acquisition unit (202) acquires route information indicating a moving route of a mobile body. The automatic driving section determination unit (204) acquires adaptation coefficients for a plurality of sections included in the moving route indicated by the route information, with reference to an adaptation coefficient storage unit (206) that stores automatic driving adaptation coefficients set for the respective sections. Further, the automatic driving section determination unit (204) determines the automatic driving sections of the mobile body in the moving route, based on the acquired adaptation coefficients.

Abstract: A situation recognizer calculates situation recognition information on a peripheral situation of a vehicle based on sensor information indicating the vehicle's periphery, map information, and motion information indicating the vehicle's state; an experience information database including information on each function, a function achievement value indicating each function's achievement degree, and a road on which each function was executed, in association with the situation recognition information, the experience information reflecting an execution result of each function during automatic driving; a control route calculator extracts experience information corresponding to the situation recognition information from the experience information database and calculates a control route including the road where the function achievement value is high; a control determination unit which generates control method information for controlling the vehicle to execute the function on the control route; and a control executor ex

Abstract: A method of controlling a vehicle operating in an Automated Vehicle and Highway System (AVHS) includes: transmitting a driving assistance request to a server in response to satisfaction of a preset condition or in response to a user input; in response to the driving assistance request, receiving a connection request from a drone selected by the server; initiating data transmission and reception for autonomous driving by authenticating the connection request; and performing the autonomous driving using driving assistance data received from the drone. Implementations of the present disclosure may enable improved autonomous driving support for a vehicle having a problem in performing autonomous driving or a manually driven vehicle incapable of driving autonomously. One or more of an autonomous vehicle or a server may be linked to an Artificial Intelligence (AI) module, Unmanned Aerial Vehicle (UAV) robot, Augmented Reality (AR) device, Virtual Reality (VR) device, a 5G service-related device, etc.

Abstract: Disclosed is an operation method of a vehicular electronic device, including receiving at least one image data from at least one camera installed in a vehicle, by at least one processor, generating a common feature map based on the image data using a convolutional neural network (CNN), by the at least one processor, and providing the common feature map to each of an object detection network, a bottom network, and a three dimensional network, by the at least one processor.

Abstract: An autonomous boat capability for man or unmanned vessels to build a contextual understanding of the marine environment to identify situations of collisions, man-overboard, intrusion and taking appropriate action based on context. This includes imaging (conventional camera, ToF camera, depth camera, thermal cameras, radar, lidar) and audio (microphone, sonar, sonic) sensors, compute device to build environmental understand, recognition, and compute optimal route navigation, controller to manage heading, controller to handle propulsion, display for latest marine information and navigation data, speakers to alert crew, horn to signal to other vessels.

Abstract: A mover control system according to an embodiment includes a controller, a node generator, and a path generator. The controller controls a mover traveling within a predetermined area. The node generator generates a pair of specified nodes at respective arbitrary locations on a map corresponding to the predetermined area. The pair of specified nodes are nodes where the mover is controllable. The path generator generates a path between the pair of specified nodes. The controller makes the mover travel along a traveling route corresponding to the path within the predetermined area.

Abstract: An autonomous vehicle can plan a path of the autonomous vehicle at an intersection where cyclists are also present. The autonomous vehicle includes an imaging device and processing circuitry configured to receive information from the imaging device and then identify a position of a cyclist in a traffic intersection based on the information from the imaging device. Additionally, a future path of the cyclist is predicted based on the position of the cyclist in the traffic intersection and a path of the autonomous vehicle is planned based on the predicted future path of the cyclist. Further, it can be determine if the cyclist followed the predicted future path, and the planned path of the autonomous vehicle is updated in response to the cyclist not following the predicted future path.

Abstract: An autonomous vehicle configured to autonomously pass a cyclist includes an imaging device and processing circuitry configured to receive information from the imaging device. Additionally, the processing circuitry of the autonomous vehicle is configured to identify a cyclist passing situation based on the information received from the imaging device, and plan a path of an autonomous vehicle based on the cyclist passing situation. The autonomous vehicle also includes a positioning system and the processing circuitry is further configured to receive information from the positioning system, determine if the cyclist passing situation is sufficiently identified, and identify the cyclist passing situation based on the information from the imaging device and the positioning system when the cyclist passing situation is not sufficiently identified based on the information received from the imaging device.