Abstract: A system, method, and non-transitory computer-readable medium allows for value-anticipating task offloading. The system may include one or more processors and a memory having a task manager module. The task manager module causes the one or more processors to receive a task identifier of a computational task for an application being utilized by a vehicle processor of a vehicle and a state vector describing at least one state of the vehicle and determine, using a utility function, a utility score of the computational task using the task identifier and the state vector which represents an improvement in a functioning of the application if the computational task is offloaded to an external system for processing. Based on the utility score, the one or more processors may offload the computational task to the external system, process the computational task by the vehicle processor of the vehicle, or discard the computational task.

Abstract: The disclosure includes embodiments for resolving vehicle application version differences for connected vehicles. A method includes determining a common vehicle application that is installed in both a remote connected vehicle and an ego vehicle and identifying version differences in a common vehicle application installed in both the ego vehicle and the remote connected vehicle. The method includes forming a vehicular micro cloud. The method includes determining a maximum possible functionality of the common vehicle application. The method includes determining a set of tasks to be completed to achieve the maximum possible functionality. The method includes assigning a first subset of the set of tasks to the ego vehicle and a second subset of the set of tasks to the remote connected vehicle. The method includes using the vehicular micro cloud to cause the ego vehicle to complete the first subset and the remote connected vehicle to complete the second subset.

Abstract: Systems and methods for vehicular-network-assisted federated machine learning are disclosed herein. One embodiment transmits first metadata from a connected vehicle to at least one other connected vehicle; receives, at the connected vehicle, second metadata from the at least one other connected vehicle; receives, at the connected vehicle based on analysis of the first and second metadata, a notification that the connected vehicle has been elected to participate in the current training phase of a federated machine learning process; receives, at the connected vehicle, instructions to prepare the connected vehicle for the next training phase; trains a machine learning model to perform a task at the connected vehicle during the current training phase to produce a locally trained machine learning model; and submits the locally trained machine learning model for aggregation with at least one other locally trained machine learning model to produce an aggregated locally trained machine learning model.

Abstract: System, methods, and embodiments described herein relate to creating and utilizing one or more vehicular micro clouds to assist in responding to a traffic event. At least one disclosed method includes receiving report information indicating a detection of a traffic event and including a location of the traffic event, defining a region of interest based at least in part on the report information, forming a dependent vehicular micro cloud in the region of interest, determining guidance information based at least in part on the report information, and transmitting the guidance information to the dependent vehicular micro cloud. The dependent vehicular micro cloud executes at least one responsive action based on the guidance information.

Abstract: A sensor control system for a vehicle includes one or more processors and a memory communicably coupled to the one or more processors. The memory stores a zone of interest determination module including computer-readable instructions that when executed by the one or more processors cause the one or more processors to determine if at least one localized zone of interest resides within a preliminary zone of interest of the vehicle. The memory also stores a sensor control module including computer-readable instructions that when executed by the one or more processors cause the one or more processors to control one or more operational parameters of at least one sensor so as to, if at least one localized zone of interest resides within the preliminary zone of interest, bring at least a portion of the at least one localized zone of interest into a of field view of the at least one sensor.

Abstract: A method includes receiving first environment information related to a first vehicular task from a host vehicle, comparing the first environment information to second environment information captured when a member vehicle performed a second vehicular task corresponding to the first vehicular task using a second set of operating criteria, and determining a first set of operating criteria for performing the first vehicular task based on a similarity score between the first environment information and the second environment information and a success or accuracy rate of the second vehicular task performed by the member vehicle.

Abstract: A system for installing a structure is provided. The system includes a plurality of moveable objects, and a server including a controller including one or more processors, and machine readable instructions stored in one or more memory modules that, when executed by the one or more processors, cause the controller to: communicate with the plurality of moveable objects; receive a request for installing the structure at a location; select a group of moveable objects among the plurality of moveable objects based on locations of the plurality of moveable objects; instruct the group of moveable objects to move to the location; and instruct one or more of the group of moveable objects to morph at the location based on information about the structure.

Abstract: The disclosure includes embodiments for a connected vehicle to serve as a hub vehicle for a vehicular micro cloud that enables a set of vehicles to complete computational tasks that are more complicated than an individual vehicle can complete. In some embodiments, a method includes determining that an ego vehicle that includes the onboard vehicle computer is designated as a hub vehicle. The method includes broadcasting a wireless message that includes an invitation for remote vehicles in the limited geographic area to join a vehicular micro cloud managed by the ego vehicle. The method includes forming the vehicular micro cloud which includes the ego vehicle and a set of remote vehicles as members of the vehicular micro cloud. The method includes the ego vehicle serving as the hub vehicle for the vehicular micro cloud.

Abstract: A system and related method for transmitting data to one or more connected vehicles. The system includes one or more processors and a memory. The memory includes one or more modules that cause the one or more processors to establish a communication connection between the system and one or more of the connected vehicles, the connected vehicles forming a vehicular micro cloud and having a shared identification, send a first portion of data to one or more of the connected vehicles, the data having the first portion and a remaining portion, receive acknowledgment data from one or more of the connected vehicles, the acknowledgment data including the shared identification, validate the acknowledgment data, and in response to the acknowledgment data being validated, send the remaining portion of data to one or more of the connected vehicles.

Abstract: The disclosure includes embodiments for managing an anomaly and anomaly-affected entities. In some embodiments, a method includes receiving anomaly data describing an occurrence of the anomaly in a roadway environment. The method includes determining an influence region of the anomaly in the roadway environment. The method includes determining a set of anomaly severity indices associated with a set of sub-regions within the influence region. The method includes managing a group of anomaly-affected entities within the influence region based on the set of anomaly severity indices.

Abstract: Systems and methods for managing driver habits are disclosed herein. One embodiment learns undesirable driving habits of a driver over time as the driver operates a vehicle; identifies, for each learned undesirable driving habit, one or more situational triggers associated with that undesirable driving habit; receives information from one or more of vehicle sensors and one or more external sources; predicts that the driver will engage in a particular undesirable driving habit; and carries out one or more of the following avoidance strategies to assist the driver in refraining from engaging in the particular undesirable driving habit: communicating one or more speed advisories to the driver; suggesting an alternate route to the driver; and presenting the driver with one or more of a coupon, an offer, and a discount at a place of business to encourage the driver to take a break by stopping at the place of business.

Abstract: The disclosure includes embodiments for an ego vehicle to offload a responsibility for executing an environmental perception analysis of a roadway environment to a different endpoint of a vehicular micro cloud that includes the ego vehicle. A method includes generating sensor data describing whether the sensor has a clear field of view of the roadway environment. The method includes determining performance data describing a computing performance ability of the different endpoint. The method includes determining network data describing an end-to-end latency of transmitting a wireless communication to the different endpoint. The method includes determining that the ego vehicle should offload the responsibility to the different endpoint based on a comparison of the sensor data, performance data, and network data to conditions data describing conditions where the ego vehicle should offload the responsibility.

Abstract: System, methods, and other embodiments described herein relate to updating distributed devices. In one embodiment, a method includes, in response to acquiring, in a delivery device that is mobile, an update for a software package, identifying an update target that is associated with at least one update device that includes the software package that is to be updated. The method includes communicating, upon locating the update target, the update directly to the at least one update device to permit the at least one update device to revise the software package using the update.

Abstract: System, methods, and embodiments described herein relate to controlling a vehicular micro cloud, which may include a plurality of vehicle members each having respective positions in a formation and in which two or more of the vehicle members collaboratively execute at least one micro cloud operation. Control may be implemented to monitor performance of the at least one micro cloud operation, monitor operational capabilities of the vehicle members, determine, based at least in part on the operational capabilities of the vehicle members, a change in formation position for at least one of the vehicle members, wherein the change in formation position improves the performance of the at least one micro cloud operation and transmit one or more commands to cause the vehicle members to execute the change in formation position.

Abstract: System, methods, and embodiments described herein relate to managing a vehicular micro cloud. A disclosed method may include determining join/leave protocols for a vehicular micro cloud and transmitting the join/leave protocols to a local vehicle in a vicinity of the vehicular micro cloud prior to the local vehicle joining the vehicular micro cloud. The join/leave protocols can define at least: 1) a procedure for the local vehicle to join the vehicular micro cloud and contribute computing resources to a collaborative micro cloud task, and 2) a protocol for handing an incomplete task when the local vehicle leaves the vehicular micro cloud.

Abstract: A system for guiding an object using a robot is provided. The system includes a server and a robot. The server is configured to receive a request and a location of an object from a device of the object, instruct a vehicle to move to a first location based on the location of the object in response to receiving the request, obtain information about a second location related to a robot, and transmit information about the second location to the device of the object. The robot is configured to identify the object at the second location, and guide the object from the second location to the first location in response to identifying the object at the second location.

Abstract: A system, method, and non-transitory computer-readable medium allows for value-anticipating task offloading. The system may include one or more processors and a memory having a task manager module. The task manager module causes the one or more processors to receive a task identifier of a computational task for an application being utilized by a vehicle processor of a vehicle and a state vector describing at least one state of the vehicle and determine, using a utility function, a utility score of the computational task using the task identifier and the state vector which represents an improvement in a functioning of the application if the computational task is offloaded to an external system for processing. Based on the utility score, the one or more processors may offload the computational task to the external system, process the computational task by the vehicle processor of the vehicle, or discard the computational task.

Abstract: The disclosure includes embodiments for message management by an ego vehicle for a Vehicle-to-Everything (V2X) channel used in V2X messages for providing a cooperative driving service. In some embodiments, the method includes receiving a first V2X message including remote sensor data recorded by a remote vehicle. The method includes causing an onboard sensor set of the ego vehicle to record ego sensor data. The method includes determining a channel busy ratio of the V2X channel. The method includes determining a set of factors affecting a state of a recipient vehicle that receives a second V2X message. The method includes selecting a cooperation message species class and an aggregation message species class of the second V2X message based on the set of factors and the state of the recipient vehicle. The method includes selecting, from a set of available classes, a specific class of the second V2X message.

Abstract: System, methods, and other embodiments described herein relate to resolving a standoff by a vehicle. In one embodiment, a method includes generating a happens-before relationship that explains events between the vehicle and other vehicles before the standoff. The standoff may be a dispute for a right of way between the vehicle and the other vehicles. The method also includes identifying the standoff using a causality relationship analysis according to the happens-before relationship. The method also includes generating a mitigation plan for the standoff that forms standoff solutions in association with the standoff being similar to a prior standoff. The method also includes resolving the standoff by causing vehicle maneuvers associated with the vehicle according to the standoff solutions.

Abstract: The disclosure includes embodiments for generating and distributing knowledge. In some embodiments, a method for a connected endpoint includes analyzing, on an information layer, sensor data to generate a set of information that describes one or more events that occur in a roadway environment. The method includes generating, on a knowledge layer, knowledge based on the set of information according to a standard to increase a use efficiency of one or more computational resources of the connected endpoint and to improve a capability of the connected endpoint to distribute the knowledge.