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 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: Systems and methods of unsafe driving detection are provided. Such systems and methods can share partial unsafe driving behavior analyses with others to increase accuracy and speed for unsafe driving detection. For example, in response to an event which interrupts a first vehicle from collecting additional driving behavior data associated with a subject vehicle, the first 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: 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 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: 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: In accordance with one embodiment of the present disclosure, a vehicle includes a controller programmed to perform operations including collecting information about an unconnected vehicle, receiving messages from another connected vehicle, identifying a scenario of the another connected vehicle being in conflict with the vehicle or the unconnected vehicle at a future time based on the messages from the another connected vehicle and the information about the unconnected vehicle, and, in response to identifying the scenario of the another connected vehicle being in conflict with the vehicle or the unconnected vehicle at the future time, transmitting a first message including the information about the unconnected vehicle to the another connected vehicle.

Abstract: Systems and methods are provided for mitigating stress experienced by a driver or passenger of a vehicle due to motive guidance received by the vehicle. For example, a vehicle may be instructed/may receive driving guidance to take a particular action(s) or perform a maneuver(s). One or more elements in the environment about or relative to the vehicle may cause the driver/passenger stress. A stress mitigation system may determine a cause of the stress, and seek to mitigate that stress by generating a micro cloud of environmental elements (e.g., neighboring vehicles, roadside equipment, etc.) and reorganizing one or more of those environmental elements.

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.

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: 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: Systems and methods are provided for providing context-based knowledge forwarding which ties a contextual meaning to knowledge, ensuring that knowledge is received within the proper context. A vehicle can query knowledge within a context (e.g., rainy weather conditions), and in response will be forwarded knowledge that was created in similar context (e.g., rainy weather). Contextual features are assigned to knowledge during a knowledge cycle, and contextual features are leveraged when the knowledge is forwarded to be utilized by entities in the vehicular knowledge network. A computer system can construct a knowledge context that corresponds to knowledge. The computer system can also perform context-based knowledge forwarding for a knowledge query by determining that the knowledge context corresponds to a query context of a knowledge query.

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: A system for communicating information about parking space availability can include a processor and a memory. The memory can store a calculations module and a communications module. The calculations module can include instructions that cause the processor to: (1) obtain a current count of spaces available for parking in an area designated for parking and (2) calculate, based on the current count and information, a revised count of the spaces. The information can indicate that a second vehicle has moved into or out of the area. The communications module can include instructions that cause the processor to: (1) receive, from a first vehicle, the information and (2) cause the revised count to be communicated to a component of a vehicle, in a vicinity of the area, for an action to be performed. The first vehicle can be parked. The information can be received via a sensor of the first vehicle.

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: An example operation includes determining a discrepancy between a provided range of an electric vehicle (EV) and an actual range of the EV being greater than a threshold; and including the EV with a connected group of other vehicles that are instructed to maintain a controlled rate of speed until the discrepancy is at or below the threshold.

Abstract: An example operation includes one or more of directing a group of connected vehicles to occupy one or more lanes approaching an intersection and notifying one of the connected vehicles to exit the group using another of the one or more lanes prior to the intersection.

Abstract: Systems and methods are provided for vehicular knowledge networking, including an improved knowledge cycle process. Vehicular knowledge networking employs vehicular networking capabilities, such as vehicle-to-vehicle (V2) communication, to create and distribute contextual knowledge of risky zones. The knowledge is received by a vehicle as early guidance, allowing the driver to be preemptively prepared before entering the risky zone and safely maneuver once driving inside of the zone. The improved knowledge cycle process involves creating associated metadata in each stage of the knowledge cycle. The metadata can be analyzed and ultimately used to derive at least one path within the knowledge cycle that is known to have a high performance. Consequently, any degradation of subsequent iterations of the knowledge cycle, are improved by employing only the “beneficial” stages of the knowledge cycle, based on the metadata, in a manner that enhances the usefulness of the knowledge cycle.

Abstract: Systems and methods are provided for correcting vehicle position estimations are provided. In an example implementation, the systems and methods disclosed herein detect a first landmark and determining a first position of the detected first landmark in a first section of an environment using one or more sensors of a vehicle while the vehicle travels in the first section, estimate a position of the vehicle in a second section of the environment, and update the estimated position of the vehicle in the second section according to the first position of the detected first landmark in the first section of the environment. In an illustrative example, the environment can be an indoor environment, such as, but not limited to, a multi-floor parking structure where the first section a floor and the second section is another floor.

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.