Abstract: Systems include a controller programmed to instruct a sensor to detect an object in an environment of a vehicle in response to an activation of a fall-on-car prevention function, determine a first value of a parameter pertaining to the object at a first time with the sensor, determine a second value of the parameter pertaining to the object at a second time with the sensor, and automatically cause an action to occur based on a comparison of the first value of the parameter and the second value of the parameter.

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: Systems, methods, and other embodiments described herein relate to improving the identification of available parking spaces by inferring when a vehicle is likely to depart. In one embodiment, a method includes, responsive to acquiring sensor data about a surrounding environment including at least one parked vehicle, extracting a feature from the sensor data about a context of the parked vehicle. The method includes analyzing the feature to determine a status of the vehicle in relation to whether the vehicle is remaining parked. The method includes providing the status to inform additional vehicles about an availability of a parking spot of the parked vehicle.

Abstract: Systems, methods, and vehicles for classifying driving behavior of a target vehicle are provided. The systems include a controller programmed to identify a target vehicle associated with a pseudo-id, obtain a first tag representing first driving behavior of the target vehicle during a first period of time along with the pseudo-id based on first motion data of the target vehicle, obtain a second tag representing second driving behavior of the target vehicle during a second period of time along with the pseudo-id based on second motion data of the target vehicle, the second period of time being after the first period of time, and classify driving behavior of the target vehicle based on interpretation of the first tag and the second tag.

Abstract: A method for detecting objects that are likely to fall from vehicle cargo includes obtaining first data of a cargo of a first vehicle captured at a first time and second data of the cargo captured by a second vehicle in an environment of the first vehicle at a second time after the first time, determining a first distance between two key points of the first data or a first shape constructed by key points of the first data and a second distance between two key points of the second data or a second shape constructed by key points of the second data, and detecting a movement of the cargo based on a comparison of the first distance and the second distance or a comparison of the first shape and the second shape.

Abstract: Systems, methods, and vehicles for correcting driving behavior of a driver of a vehicle are provided. The systems include a controller programmed to identify a repetitive movement pattern of a driver of a vehicle at a predetermined location based on accumulated driving data of the vehicle, implement digital twin simulation of the vehicle using the repetitive movement pattern and the digital twin simulation of another object to identify a potential conflict between the vehicle and the another object, and inform the driver of the vehicle about predetermined driving behavior in response to identifying the potential conflict.

Abstract: The disclosure includes embodiments for a phantom system. A method according to some embodiments is executed by an onboard vehicle computer. The method includes generating a model of a driving behavior of a target vehicle based on sensor data describing the driving behavior and a roadway environment. The method also includes determining a graphic of a phantom vehicle based on the model. The method also includes causing an electronic display of an ego vehicle to depict the graphic as an element of a graphical user interface that depicts the graphic and an image of a remote vehicle that is following the ego vehicle. For example, the method includes generating graphical data describing the graphical user interface including the graphic and the image and providing the graphical data to the electronic display to cause the electronic display to depict the graphical user interface including the graphic and the image.

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: 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: A method according to some embodiments includes sensing, by a sensor set of the ego vehicle, a remote vehicle to generate sensor data describing driving behavior of the remote vehicle. The method further includes classifying a type of the remote vehicle based on the sensor data. The method further includes retrieving a behavior profile for the type of the remote vehicle that identifies criteria for the type of the remote vehicle and classifications of abnormal behavior and normal behavior based on the criteria. The method further includes comparing the behavior of the remote vehicle to the behavior profile for the type of the remote vehicle. The method further includes determining that the behavior of the remote vehicle is normal based on the comparing.

Abstract: Systems and methods are provided for improving the performance of anomaly detection, including detecting abnormal driving behavior at locations and in driving situations where the accuracy of detecting abnormal driving behavior has decreased or known to cause inaccurate performance responses. For example, the anomaly detection mechanism may detect abnormal driving behavior (e.g., delayed responses, road rage, swerving, etc.) or environmental anomalies (e.g., potholes, fallen trees, etc.), and particular driving situations or locations can have repeatedly shown decreased rates of accuracy with responding to these anomalies, including abnormal driving behavior (e.g., delayed driver responses to left-turns, U-turns, traffic light, railroad crossing, construction zones, etc.) or situations that are known to cause inaccurate performance responses (e.g., potholes, fallen trees, etc.). Embodiments can revise the anomaly detection system to operate the vehicle more consistently with other human drivers.

Abstract: Systems and methods for controlling a view, provided by a vehicular micro cloud associated with a remotely supported vehicle, can include communicating with a plurality of vehicles in a vicinity of the remotely supported vehicle to collectively form a vehicular micro cloud. Each of the plurality of vehicles being equipped with at least one camera can track respective positions of the plurality of vehicles relative to the remotely supported vehicle. A set of vehicles can be selected from among the plurality of vehicles. A live video stream can be received from each of the set of vehicles. The live video stream can be transmitted to an external controller.

Abstract: Systems and methods of unsafe driving detection are provided which share partial unsafe driving behavior analyses with others in order to ensure that unsafe driving behavior is detected as early as possible. For example, in response to an event which interrupts a first detecting vehicle from collecting additional driving behavior data associated with a subject vehicle, the first detecting vehicle may transfer driving behavior data it has already collected and processed, to another detecting entity (e.g., a second detecting vehicle) in observable range of the subject vehicle.

Abstract: System, methods, and other embodiments described herein relate to improving the identification of available parking spaces by inferring when a vehicle is likely to depart. In one embodiment, a method includes, responsive to acquiring sensor data about a surrounding environment including at least one parked vehicle, extracting a feature from the sensor data about a context of the parked vehicle. The method includes analyzing the feature to determine a status of the vehicle in relation to whether the vehicle is remaining parked. The method includes providing the status to inform additional vehicles about an availability of a parking spot of the parked vehicle.

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: Systems, methods, and other embodiments described herein relate to dynamically updating an existing vehicular micro cloud. In one embodiment, a method includes determining one or more parameters of an environment around a plurality of vehicles, and identifying an impact of the one or more parameters of the environment on one or more of the plurality of vehicles associated with the existing vehicular micro cloud. The method includes identifying one or more properties of the existing vehicular micro cloud. The method includes determining which adjustment to the one or more properties of the existing vehicular micro cloud can address the impact, and updating the one or more properties based on the determination.

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: 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.