Abstract: Systems and methods are provided for determining parking spaces to rent to the public. The systems and methods can determine a plurality of time bins and receive data on the occupancy of parking spaces for each time bin. A determined number of reserved spaces can be calculated for each time bin. Restrictions associated with the parking space can also be determined. A final number of parking spaces to rent can be determined based on the determined number of reserved spaces and the restrictions.

Abstract: The disclosure includes embodiments for spinning out members of a first vehicular micro cloud to form a second vehicular micro cloud. According to some embodiments, a method includes forming a first vehicular micro cloud including a set of members. The method includes exiting the first vehicular micro cloud by a subset of the members of the first vehicular micro cloud. The method incudes identifying a reason to form a second vehicular micro cloud by the subset. The method includes executing steps, by a processor and a wireless radio, to form the second vehicular micro cloud by the subset based on the identification of the reason so that, by the formation of the second vehicular micro cloud, the spinning out of the subset of the members of the first vehicular micro cloud is achieved. The processor and the wireless radio are elements of a hub of the second vehicular micro cloud.

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: A vehicle system of a vehicle may include a controller programmed to receive sensor data from one or more vehicle sensors as the vehicle drives along a road, determine whether the vehicle is approaching a road anomaly based on the sensor data, and upon determination that the vehicle is approaching the road anomaly, begin recording audio and continue recording audio until after the vehicle interacts with the road anomaly.

Abstract: System, methods, and other embodiments described herein relate to improving latency when establishing peer-to-peer connections between devices. In one embodiment, a method includes, responsive to determining that a connection is to be established with at least one remote vehicle by a subject vehicle, acquiring parameters, from a remote server, that define characteristics of the connection. The method includes performing device discovery and service discovery simultaneously by embedding information about available services within a communication for device discovery. The method includes establishing the connection between the subject vehicle and the at least one remote vehicle according to the parameters.

Abstract: Systems and methods are provided for forming remote vehicular micro clouds at one or more remote locations. According to some embodiments, the methods and systems comprise responsive to receiving a request to form a vehicular micro cloud from a client device, communicating with a plurality of vehicles within an area of a geographic location to collectively form a vehicular micro cloud at the geographic location, where client device is remote from the area of the geographic location. The methods and systems further include receiving resource data from the plurality of vehicles, the resource data comprising detection results of an environment surrounding the geographic location based on sensor sets of the plurality of vehicles, and transmitting the resource data to the client device.

Abstract: An object detection system for a vehicle includes a processor and a memory communicably coupled to the processor. The memory stores instructions that when executed by the processor cause the processor to receive a priority assignment set by an occupant of a vehicle. The priority assignment corresponds to a customization of at least one warning characteristic. The at least one warning characteristic includes a distance threshold. The instructions also cause the processor to detect an object in an external environment of the vehicle and apply the priority assignment to the object. The instructions further cause the processor to issue a warning according to the at least one warning characteristic. According to the distance threshold, the warning is issued when a distance from the vehicle to the object meets the distance threshold.

Abstract: A trailer monitoring system for a vehicle includes a processor and a memory communicably coupled to the processor. The memory stores instructions that when executed by the processor cause the processor to receive, from at least one monocular camera mounted to a vehicle towing a trailer, at least one monocular camera image of at least a portion of the trailer. The instructions also cause the processor to generate at least one depth map based on the at least one monocular camera image. The instructions further cause the processor to identify a trailer irregularity based on the at least one depth map.

Abstract: A parking assist system for a vehicle includes a processor and a memory communicably coupled to the processor. The memory stores instructions that when executed by the processor cause the processor to detect a parking space for a vehicle. The instructions further cause the processor to identify one or more parking parameters related to parking the vehicle in the parking space. The parking parameters include a point-of-interest associated with the parking space. The instructions further cause the processor to determine a suitability of the parking space based on the one or more parking parameters. Determining the suitability of the parking space includes predicting a point-of-interest-related action to be performed by an occupant after parking the vehicle in the parking space.

Abstract: Systems and methods are provided for forming remote vehicular micro clouds at one or more remote locations. According to some embodiments, the methods and systems comprise responsive to receiving a request to form a vehicular micro cloud from a client device, communicating with a plurality of vehicles within an area of a geographic location to collectively form a vehicular micro cloud at the geographic location, where client device is remote from the area of the geographic location. The methods and systems further include receiving resource data from the plurality of vehicles, the resource data comprising detection results of an environment surrounding the geographic location based on sensor sets of the plurality of vehicles, and transmitting the resource data to the client device.

Abstract: Systems and methods are provided for forming a knowledge hub. According to some embodiments, the methods and systems comprise determining a region of interest comprising a geographical portion of a roadway, determining an appropriate notification associated with the region of interest, the appropriate notification comprising instructions to navigate the geographical portion of the roadway, examining available resources to generate a knowledge hub about the region of interest and notifying the driver of the vehicle of the appropriate notification associated with the region of interest when the vehicle enters into the region of interest.

Abstract: The disclosed subject matter relates to managing a vehicular micro cloud. A 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 includes a processor and a memory in communication with the processor. The memory has instructions that, when executed by the processor, cause the processor to count, based on sensor data received from vehicles located in a parking lot, the number of non-parked vehicles located in the parking lot within a time period. The instructions further cause the processor to determine an occupancy status of the parking lot based on the number of non-parked vehicles located in the parking lot.

Abstract: The disclosure includes embodiments for forming an on-demand stationary vehicular micro cloud. In some embodiments, a method for a connected vehicle includes receiving event data that describes a set of events configured for triggering a creation of the on-demand stationary vehicular micro cloud. The method includes receiving sensor data that describes a roadway environment. The method includes detecting, based at least in part on the sensor data, an occurrence of at least one event included in the set of events. The method includes modifying an operation of a communication unit of the connected vehicle to initiate the creation of the on-demand stationary vehicular micro cloud to address the occurrence of the at least one event.

Abstract: The disclosure includes embodiments for reorganizing autonomous entities to meet a resource demand of a vehicular micro cloud. In some embodiments, a method for a connected vehicle that is a member of the vehicular micro cloud includes modifying an operation of a communication unit of the connected vehicle to receive, via a Vehicle-to-Everything (V2X) network, a reorganization message that includes a reorganization instruction to fulfill the resource demand of the vehicular micro cloud. The method includes executing the reorganization instruction to incorporate one or more resources of an autonomous entity into a resource pool of the vehicular micro cloud so that the resource demand of the vehicular micro cloud is met.

Abstract: The disclosure includes embodiments for providing altruistic mobility by one or more vehicular micro clouds. The method includes predicting, by a processor, based on sensor data describing a roadway environment that a future conflict of interest between a first set of vehicles and a second set of vehicles will occur in the roadway environment that includes the connected roadway infrastructure device. The method includes forming a first vehicular micro cloud including the first set of vehicles and the connected roadway infrastructure device. The method includes forming a second vehicular micro cloud including the second set of vehicles. The method includes determining steps included in an altruistic action plan that is operable to obviate the future conflict of interest. The method includes instructing the first set of vehicles and the connected roadway infrastructure device to execute the steps of the altruistic action plan to obviate the conflict of interest.

Abstract: The disclosure includes embodiments for predicting an occurrence of a future road hazard in a roadway environment using digital data provided by a vehicular micro cloud. A method according to some embodiments is executed by a processor. In some embodiments, the processor is an element of a vehicle that is itself a member of the vehicular micro cloud. The method includes receiving vehicular micro cloud data describing sensor measurements of a roadway environment and a rule set. The method includes predicting, based on the sensor measurements and the rule set, that a future road hazard will occur. The method includes executing a remedial action plan that obviates the future road hazard. In some embodiments, the remedial action plan is executed by one or more members of the vehicular micro cloud. In some embodiments, digital data describing the prediction and the remedial action plan is broadcast within the roadway environment.

Abstract: Systems and methods for fast vehicular micro cloud formation are disclosed herein. In one example, a system includes a processor and a memory in communication with the processor and having instructions. When executed by the processor, the instructions cause the processor to receive an identifier of the vehicle and determine if the identifier matches the information in stored metadata. If the identifier matches the information in the stored metadata, the vehicle is allowed to join the vehicular micro cloud without performing a standard onboarding procedure. Otherwise, a standard onboarding procedure is performed to allow the vehicle to join the vehicular micro cloud.

Abstract: A system includes a processor and a memory in communication with the processor. The memory has instructions that, when executed by the processor, cause the processor to generate, based on an image of a roof of a multi-level parking structure, a roof map having at least one road segment and at least one parking space of the roof. The instructions further cause the processor to predict, based on the roof map, a lower level map having at least one road segment and at least one parking space of a lower level of the parking structure.

Abstract: Systems, methods, and other embodiments described herein relate to improving locating favorable entrances. In one embodiment, a method includes acquiring sensor data about a parking facility entrance from at least one vehicle sensor, processing the sensor data into characteristics about the parking facility entrance, storing the characteristics about the parking facility entrance in a map that includes a location of the parking facility entrance, and providing a recommendation for a parking facility based, at least in part, on the map.