Abstract: System, methods, and other embodiments described herein relate to improving right-of-way determinations at an intersection. In one embodiment, a method includes acquire, in a lead vehicle that is a cloud leader of a micro-cloud, observations about the intersection for a set of vehicles including at least one remote vehicle. The set of vehicles are approaching the intersection. The remote vehicle and the lead vehicle are members of the micro-cloud. The method includes deriving an assignment of right-of-ways indicating an order about how the set of vehicles may proceed through the intersection. The method includes providing the assignment to at least the remote vehicle to control right-of-way at the intersection.

Abstract: A method for automatically learning parking preferences for a driver and generating parking recommendations includes generating training data based at least in part on: 1) trajectory data indicating a trajectory of a vehicle during a plurality of parking events, each in which a driver of the vehicle selected a parking candidate from among a plurality of parking candidates, and 2) attribute data indicating attributes of each of the plurality of parking candidates, removing, from the training data, data associated with at least one available parking candidate based on one or more conditions that indicate the driver did not consider the at least one available parking candidate, and training a decision model, based on remaining training data, to estimate a preferred parking candidate for the driver from among a set of available parking candidates.

Abstract: The disclosure includes embodiments for provision of an uninterrupted vehicular cloud service. A method according to some embodiments includes determining that an ego vehicle is approaching an overlapping vehicular micro cloud area where a plurality of vehicular micro clouds are active. The method includes retrieving intrinsic data describing driving behavior of members of the plurality of vehicular micro clouds. The method includes retrieving extrinsic data describing a roadway geometry of the overlapping vehicular micro cloud area. The method includes determining, based on one or more of the intrinsic data and the extrinsic data, a strategy for ensuring that the plurality of vehicular micro clouds provide an uninterrupted vehicular cloud service. The method includes taking steps to execute the strategy so that the uninterrupted vehicular cloud service is provided.

Abstract: In accordance with one embodiment of the present disclosure, a method includes obtaining, with a sensor of a vehicle, a data set representing an external object, the data set having a first set of features, obtaining, with a receiver of the vehicle, a channel load about a radio frequency through which the data set may be transmitted, obtaining, with an environment sensor of the vehicle, context information about a road on which the vehicle is located, and processing the data set representing the external object based on the channel load and the context information to generate a reduced data set representing the external object, the reduced data set having a second set of features fewer than the first set of features.

Abstract: The disclosure describes a method for an ego vehicle. The method includes determining that a vehicle needs to park. The method further includes identifying a parking facility within proximity to the vehicle and a corresponding congestion level of the parking facility. The method further includes selecting a first parking model from two or more parking models based on the corresponding congestion level being closer to a first congestion range than a second congestion range. The method further includes identifying a parking spot for the vehicle within the parking facility based on the first parking model.

Abstract: A system for determining an existence of a change in a region can include a processor, a communications device, and a memory. The memory can store a change determination module and a communications module. The change determination module can cause the processor to: (1) determine, in response to having obtained an indication of a possible change in the region, a location of a connected car in a vicinity of the region and facts about a sensor disposed on the connected car and (2) determine a strategy to obtain data about the possible change. The strategy can be based on at least one of the location of the connected car or the facts about the sensor. The communications module can cause the processor to transmit, via the communications device and to the connected car, an instruction to control, according to the strategy, the sensor to obtain the data.

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: A system for determining an identification of an occupant within a vehicle can include a processor, a communications interface, and a memory. The memory can store an information reception module, an identification prediction module, and an actuation module. The information reception module can cause the processor to receive, via the communications interface, from at least one sensor, and at a time when a source of a propulsion force for the vehicle is in an off state, at least one signal having information about at least one detectable characteristic associated with the occupant within the vehicle. The identification prediction module can cause the processor to produce, based on the information, a prediction of the identification of the occupant. The actuation module can cause the processor to cause, in response to a production of the prediction, a setting of a component of the vehicle to have a specific value.

Abstract: Describe are systems and methods for implementing a peer-to-peer (P2P) wireless group acting as a vehicular micro cloud. In one example, a system includes a processor and a memory in communication with the processor having a group coordination service module. The group coordination service module has instructions that, when executed by the processor, cause the processor to select a vehicle out of a plurality of vehicles to act as a group owner of a P2P wireless group operating as a vehicular micro cloud based on vehicle status information from the plurality of vehicles and transmit group configurations of the first P2P wireless group to the plurality of vehicles to allow the plurality of vehicles to join the first P2P wireless group. The selection of the vehicle may be based on how long the vehicle is predicted to be a member of the vehicular micro cloud.

Abstract: A method includes receiving first data from one or more vehicles in a geographic area, the first data indicating operation of an active safety system by at least one of the one or more vehicles, receiving second data indicating driving performance of the one or more vehicles, determining whether the driving performance of the one or more vehicles in the geographic area is improved or diminished by the use of the active safety system based on the first data and the second data, and transmitting a signal to a vehicle approaching the geographic area to cause the vehicle approaching the geographic area to activate or deactivate the active safety system based on the determination.

Abstract: Systems, methods, and other embodiments described herein relate to automatically learning parking preferences for a driver and generating parking recommendations. In one embodiment, a method includes generating training data based at least in part on: 1) trajectory data indicating a trajectory of a vehicle during a plurality of parking events, each in which a driver of the vehicle selected a parking candidate from among a plurality of parking candidates, and 2) attribute data indicating attributes of each of the plurality of parking candidates, removing, from the training data, data associated with at least one available parking candidate based on one or more conditions that indicate the driver did not consider the at least one available parking candidate, and training a decision model, based on remaining training data, to estimate a preferred parking candidate for the driver from among a set of available parking candidates.

Abstract: A method includes receiving network statistics from one or more vehicles that are members of a vehicular micro cloud. The method further includes detecting a degradation in vehicle-to-vehicle (V2V) communication performance based on the network statistics. The method further includes generating a communication graph based on the network statistics. The method further includes dividing the vehicular micro cloud into subgroups based on the communication graph.

Abstract: The disclosure includes embodiments for improving an operation of a vehicular micro cloud by increasing a continuity of a vehicular micro cloud service provided by the vehicular micro cloud. A method includes maintaining a data structure of stored driving maneuver shapes, wherein each stored driving maneuver shape includes a set of driving maneuvers. The method includes sensing a candidate vehicle and a driving maneuver shape of the candidate vehicle. The method includes determining a matching driving maneuver shape from the stored driving maneuver shapes based on a match between the driving maneuver shape of the candidate vehicle and at least a portion of the matching driving maneuver shape. The method includes estimating a next driving maneuver of the candidate vehicle. The method includes assigning a role to the candidate vehicle in the vehicular micro cloud based on the next driving maneuver of the candidate vehicle.

Abstract: Systems, methods, and other embodiments described herein relate to identifying a user of a vehicle. In one embodiment, a method includes determining an activity of the user using one or more mobile devices. The method includes detecting an event in the vehicle using one or more vehicle sensors. The method includes identifying the user based on a relationship between the activity and the event.

Abstract: The disclosure includes embodiments for providing value-based sensor data suppression in a cooperative perception message transmission by an ego vehicle. A method includes ascertaining, by a processor of the ego vehicle, a mounting height of a first sensor of the ego vehicle. The method includes calculating a value of sensor data recorded by the first sensor based on the mounting height. The method includes determining a satisfaction state of a threshold based on the value. The method includes determining to transmit the cooperative perception message without the sensor data based on the satisfaction date of the threshold so that value-based sensor data suppression is achieved. The sensor data is suppressed because it is not included in a payload of the cooperative perception message. The suppression is value-based because the sensor data is suppressed responsive to the threshold for value not being satisfied.

Abstract: The disclosure includes embodiments for a connected vehicle to form a vehicular micro cloud. In some embodiments, a method includes determining, by an onboard vehicle computer, that a queue is present in a roadway environment and that a vehicle that includes the onboard vehicle computer is present in the queue. The method includes causing a set of member vehicles to form a vehicular micro cloud in the roadway environment responsive to determining that the queue is present in the roadway environment so that determining that the queue is present triggers a formation of the vehicular micro cloud, where the vehicular micro cloud includes a set of vehicles which each share all of their unused vehicular computing resources with one another to generate a pool of vehicular computing resources that exceeds a total vehicular computing resources of any single member vehicle and is used to benefit the set of member vehicles.

Abstract: System, methods, and embodiments described herein relate to managing benefit distribution in a vehicular micro cloud in which a plurality of vehicle members collaboratively execute operations in an environment of the vehicular micro cloud. A disclosed method may include monitoring a distributed execution of a micro cloud operation initiated by the ego vehicle, determining a contribution level of a vehicle member of the vehicular micro cloud that contributed toward completing the micro cloud operation, storing a record indicating the contribution level, identifying an occurrence of an event, the event being a micro cloud interaction or encounter with the vehicle member subsequent to completion of the micro cloud operation, determining, based at least in part on the record indicating the contribution level, a reciprocal task that benefits the vehicle member, and executing the reciprocal task during the event.

Abstract: A method may include determining whether a plurality of vehicles, each having an application installed are expected to be present within a predetermined distance of a location of an event. The method may further include comparing versions of the applications among the plurality of vehicles and, in response to determining that the plurality of vehicles are expected to be present within the predetermined distance of the location and determining that the versions of the applications among the plurality of vehicles are different, adjusting a version of the application installed in one or more of the plurality of vehicles.

Abstract: System, methods, and embodiments described herein relate to providing platoon leadership as a service. At least one method includes receiving, from a platoon, a request for a platoon leader, the request indicating a location and a situation class, sending out a search query for a vehicle having experience in handling the situation class, receiving, from a responding vehicle, a response to the search query, the response indicating an experience level in handling the situation class, selecting the responding vehicle as a new leader based at least in part on the response, assigning the new leader to the platoon and providing instructions to the new leader that cause the new leader to assume a lead position in the platoon and lead the platoon through an area exhibiting the situation class.

Abstract: A method of creating a parking facility map includes obtaining one or more images of a parking facility, generating an estimate map of parking spaces in the parking facility based at least on the one or more images (the estimate map of parking spaces includes a plurality of estimate parking space shapes), identifying a parking block that includes a cluster of estimate parking spaces among the plurality of estimate parking space shapes, determining a common geometric pattern among the cluster of estimate parking spaces, correcting geometrical features of one or more estimate parking spaces in the cluster of estimate parking spaces based at least in part on the common geometric pattern, identifying one or more gaps among the cluster of estimate parking space shapes, and determining a number of inserted parking spaces to fill the one or more gaps based at least in part on the common geometric pattern.