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.

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 are provided to determine optimal (image analysis) parameters for generating or adapting/adjusting a monocular depth estimation (MDE) depth map based on various factors, such as vehicle operating conditions, environmental conditions, road conditions, etc. After determining the optimal parameters to use, the optimal parameters can be stored on a cloud server or an edge server along with the vehicle location for use when another vehicle approaches the location to perform MDE without needing to independently determine the optimal parameters to use. Moreover, the use of such optimal image analysis parameters, enable a richer/enhanced view of the environment/area around or about a vehicle, where image analysis parameters may be used to more accurately interpret or otherwise characterize a depth map.

Abstract: One embodiment of a system for analyzing the in-lane driving behavior of an external road agent generates a sequence of sparse 3D point clouds based on a sequence of depth maps corresponding to a sequence of images of a scene. The system performs flow clustering based on the sequence of depth maps and a sequence of flow maps to identify points across the sequence of sparse 3D point clouds that belong to a detected road agent. The system generates a dense 3D point cloud by combining at least some of those identified points. The system detects one or more lane markings and projects them into the dense 3D point cloud to generate an annotated 3D point cloud. The system analyzes the in-lane driving behavior of the detected road agent based, at least in part, on the annotated 3D point cloud.

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: 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: 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 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 parking seeker detection system and method for updating an availability of one or more parking spots of a parking spot database is provided. The method includes determining whether a target vehicle is a registered member vehicle, and in response to determining that the target vehicle is not a registered member vehicle, identifying a target parking spot in which the target vehicle is intending to park and updating an availability of a parking spot of a parking spot database corresponding to the target parking spot.

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 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: 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: 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.