Abstract: An overload protection mechanism for network nodes in an edge node cluster uses two tier reinforcement learning models; one at the edge node level and one at the cluster level. The node level reinforcement learning model optimizes a routing policy for a service/application to determine whether an edge node receiving a client request shall handle the traffic for the service/application. The cluster level reinforcement learning model optimizes a policy for an application that determines which neighboring edge node shall be considered to handle a client request for the given application in case of redirection or proxy by the edge node receiving the client request.

Abstract: A vehicle control device that can appropriately recognize a direction of a vehicle is provided. The vehicle control device includes: an image acquirer configured to acquire an image obtained by imaging a space outside of a vehicle; an object detector configured to detect, through image processing, a plurality of types of objects including a road structure and a moving object shown in the image; a reference line setter configured to select one type of object from the plurality of types of objects and to set a reference line based on a direction of the selected type of object; and a vehicle direction estimator configured to estimate an angle which is formed by the reference line and a traveling direction line of the vehicle as a direction of the vehicle relative to a lane in which the vehicle is traveling or is scheduled to travel.

Abstract: An electronic device and method for managing tasks related to service requests for a vehicle is provided. The electronic device receives a service request associated with a vehicle and determines a location where a primary task of the service request is executable, based on the service request. The electronic device identifies a pool of workers for fulfilment of the service request, based on the location and assigns a first worker to move the vehicle to the location and a second worker to execute the primary task at the location. The electronic device collects operational information associated with the vehicle based on execution and generates a trigger event that indicates completion of the primary task, based on the operational information. The display device is controlled to display a service request status based on the operational information and the trigger event.

Abstract: An overload protection mechanism for network nodes in an edge node cluster uses two tier reinforcement learning models; one at the edge node level and one at the cluster level. The node level reinforcement learning model optimizes a routing policy for a service/application to determine whether an edge node receiving a client request shall handle the traffic for the service/application. The cluster level reinforcement learning model optimizes a policy for an application that determines which neighboring edge node shall be considered to handle a client request for the given application in case of redirection or proxy by the edge node receiving the client request.

Abstract: A mobile object control device acquires an image obtained by imaging an outside space of a mobile object, determines whether the mobile object is in a merging lane closer to a merged lane between two merging lanes, determines whether another mobile object is in a merging lane farther from the merged lane between the merging lanes in front of the mobile object when it is determined that the mobile object is in the closer merging lane, sets one or more merging position candidates at which merging of the mobile object to the merged lane is completed and which are positions between mobile objects in the merged lane, and selects a merging position at which the merging of the mobile object to the merged lane is completed from the one or more merging position candidates.

Abstract: A moving object control device includes a storage device storing a program and a hardware processor. The hardware processor executes the program stored in the storage device to acquire an image by imaging a space outside of a moving object, determine whether or not the moving object is traveling in a merging lane on the basis of the image, detect a first reference object and a second reference object according to image processing when it is determined that the moving object is traveling in the merging lane, virtually set a plurality of third reference objects extending parallel to the first reference object at a first prescribed width in a hypothetical plane virtually viewed from above, and derive information about a location where the merging lane disappears on the basis of at least a first intersection between the second reference object and the plurality of third reference objects.

Abstract: A mobile object control system includes a recognizer configured to recognize a situation in a periphery of a mobile object, a controller configured to control a behavior of the mobile object based on a situation in the periphery recognized by the recognizer, in which the controller, when there is a plan to move the mobile object to an area that interferes with a scheduled trajectory to which a first mobile object moves, estimates a behavioral characteristic of the first mobile object, sets an attention area according to the estimated characteristic for the first mobile object, and controls the mobile object using the set attention area.

Abstract: A vehicle control device includes: a recognizer configured to recognize a surrounding situation of a vehicle; and an action controller configured to control an action of the vehicle. The action controller is configured to specify a first vehicle in front of a region which the vehicle is scheduled to enter and a second vehicle behind the region according to inter-vehicle distances between a plurality of vehicles located in front of or on the side of the vehicle in a lane of a route changing destination recognized by the recognizer when a route of the vehicle is changed to a side. The action controller is configured to cause the vehicle to move to a vicinity of the specified first and second vehicles in a lane in which the vehicle is traveling.

Abstract: A vehicle control device that can appropriately recognize a direction of a vehicle is provided. The vehicle control device includes: an image acquirer configured to acquire an image obtained by imaging a space outside of a vehicle; an object detector configured to detect, through image processing, a plurality of types of objects including a road structure and a moving object shown in the image; a reference line setter configured to select one type of object from the plurality of types of objects and to set a reference line based on a direction of the selected type of object; and a vehicle direction estimator configured to estimate an angle which is formed by the reference line and a traveling direction line of the vehicle as a direction of the vehicle relative to a lane in which the vehicle is traveling or is scheduled to travel.

Abstract: A vehicle control device includes: a recognizer configured to recognize a surrounding situation of a vehicle; and an action controller configured to control an action of the vehicle. The action controller determines a range in which the vehicle is located relative to a first vehicle located on a lateral side of the vehicle recognized by the recognizer and a second vehicle located on a side behind the first vehicle in a longitudinal direction of a road by the recognizer based on a distance between the first and second vehicles when a course of the vehicle is changed to the lateral side.

Abstract: A control device of a mobile body is provided. The control device includes at least one processor circuit with a memory comprising instructions. When executed by the processor circuit, the instructions cause the processor circuit to at least: plan an action of the mobile body; acquire an evaluation value for starting the action; and determine to start the action when the evaluation value acquired at a first time satisfies a first condition and the evaluation value acquired at a second time later than the first time satisfies a second condition. The second condition is more strict than the first condition.

Abstract: A vehicle control device includes: a recognizer configured to recognize a surrounding situation of a vehicle; and an action controller configured to control an action of the vehicle. The action controller is configured to specify a first vehicle in front of a region which the vehicle is scheduled to enter and a second vehicle behind the region according to inter-vehicle distances between a plurality of vehicles located in front of or on the side of the vehicle in a lane of a route changing destination recognized by the recognizer when a route of the vehicle is changed to a side. The action controller is configured to cause the vehicle to move to a vicinity of the specified first and second vehicles in a lane in which the vehicle is traveling.

Abstract: A vehicle control device includes: a recognizer configured to recognize a surrounding situation of a vehicle; and an action controller configured to control an action of the vehicle. The action controller determines a range in which the vehicle is located relative to a first vehicle located on a lateral side of the vehicle recognized by the recognizer and a second vehicle located on a side behind the first vehicle in a longitudinal direction of a road by the recognizer based on a distance between the first and second vehicles when a course of the vehicle is changed to the lateral side.

Abstract: The present invention encompasses a recombinant bacterium that is capable of producing L-homoserine and methods of using the bacterium for producing L-homoserine.