Abstract: A controller for delivering an item is provided. The controller includes one or more processors, one or more memory modules, and machine readable instructions stored in the one or more memory modules. The controller is configured to determine a location or a traveling schedule of a first vehicle and a location of a second device, determine a zone where the first vehicle and the second device are expected to be proximate each other based on traffic information, the location or the traveling schedule of the first vehicle, and the location of the second device, instruct the first vehicle to move to the zone, and instruct the second device to transfer an item to the first vehicle in response to determining that the first vehicle and the second device are proximate each other at the zone.

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: System, methods, and other embodiments described herein relate to avoiding deadlocks between vehicles through adjusted maneuvering. In one embodiment, a method includes predicting vehicle trajectories using a model generated from sensor data and information communicated to a subject vehicle. The method also includes estimating, by the subject vehicle, deadlock parameters using the vehicle trajectories. The method also includes, in response to the deadlock parameters satisfying a threshold, avoiding a deadlock by communicating a maneuver message (MM) that suggests a maneuver for nearby vehicles according to vehicle parameters or by executing a motion adjustment initiated by the subject vehicle that reduce conditions for traffic conflicts according to the deadlock 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: A system for assisting a maneuver of a moving object is provided. The system includes a plurality of unmanned aerial vehicles, and a computing device comprising a controller configured to: identify a maneuver location of the moving object based on location information associated with the moving object, determine one or more unmanned aerial vehicles among the plurality of unmanned aerial vehicles based on a proximity of the maneuver location and the plurality of unmanned aerial vehicles, dispatch the one or more unmanned aerial vehicles to the maneuver location, and transmit an instruction signal to the one or more unmanned aerial vehicles, wherein the instruction signal causes the one or more unmanned aerial vehicles to generate an indication configured to assist one or more vehicles approaching the maneuver location.

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: System, methods, and other embodiments described herein relate to estimating the origins of abnormal driving through observed driving patterns. In one embodiment, a method includes detecting, using parallel computations, abnormal classifications associated with a subject vehicle and nearby vehicles according to driving patterns derived from observation data, the abnormal classifications being associated with exceeding a position range in the observation data. The method also includes estimating an origin of abnormal driving with happens-before analysis according to the abnormal classifications, and the abnormal driving is associated with deviations in a traffic flow associated with the subject vehicle and the nearby vehicles. The method also includes controlling the subject vehicle using a driving command according to the origin.

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: The disclosure generally relates to a system comprising a memory and a processor configured to access the memory and execute the machine-executable instructions stored on the memory to determine that a target vehicle is engaging in an abnormal driving, determine that the abnormal driving exceeds a notification threshold parameter of an abnormal driving notification system, generate a notification, and monitor the ego vehicle and/or driver to alter notification threshold values based on the reactions of the ego vehicle and/or driver inputs.

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: Systems and methods are provided for detecting when a vehicle engages in anomalous driving behavior and managing nearby vehicles to mitigate risk to the nearby vehicles due to the anomalous driving behavior. According to some embodiments, the methods and systems comprise receiving an indication that an anomalous driving behavior of a first vehicle is detected, and identifying a plurality of vehicles within a geographic area of the first vehicle based on receiving the indication. The methods and systems further include generating an arrangement for the plurality of vehicles based on the detected anomalous driving behavior, determining a target speed for each of the plurality of vehicles based on the determined arrangement and a current speed of each of the plurality of vehicles, and communicating control messages to each of the plurality of vehicles. The control messages comprising the target speed to distribute the plurality of vehicles into the determined arrangement.

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 programmatically verifying an origin of abnormal driving. Some examples of abnormal driving may include aggressive driving (e.g., tailgating, cut-in lane, etc.), distracted driving (e.g., swerving, delayed reaction, etc.), and reckless driving (e.g., green light running, lane change without signaling, etc.). For example, the systems and methods may receive an identification of a second vehicle performing abnormal driving from an ego vehicle; initiate a verification process of the identification of the abnormal driving; access driving data associated with an origin of the abnormal driving, wherein the driving data includes the ego vehicle and the second vehicle; using the driving data, determine a confirm or deny decision regarding the identification of the second vehicle from the ego vehicle; and provide the confirm or deny decision.