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: 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: The disclosure includes a system and method for generating travel itineraries including planning departure times of rides in consideration of congestion mitigation. The system includes a processor configured to receive a ride request requesting transportation to a destination location via a road network and determine an initial travel itinerary for the ride request based on real-time traffic data for the road network, which initial travel itinerary may include an initial departure time. The system may compute an adjusted travel itinerary for the ride request based on a postponed departure time relative to the initial departure time using projected traffic data. In some instances, the system may then generate a data file including the postponed departure time of the adjusted travel itinerary and the initial departure time and may customize the graphical user interface to show graphical elements representing the initial travel itinerary and the adjusted travel itinerary.

Abstract: System, methods, and other embodiments described herein relate to training a prediction system for improving depth perception in low-light. In one embodiment, a method includes computing, in a first training stage, losses associated with predicting a depth map for a synthetic image of a low-light scene, wherein the losses include a pose loss, a flow loss, and a supervised loss. The method also includes adjusting, according to the losses, a style model and a depth model. The method also includes training, in a second training stage, the depth model using a synthetic representation of a low-light image. The method also includes providing the depth model.

Abstract: System, methods, and other embodiments detecting and localizing objects within an image in a wide-view format using a synthetic representation. The method includes converting a real image in a wide-view format to a synthetic representation using a style model, wherein the synthetic representation depicts a distorted view of an object. The method also includes identifying features of the object using an extraction model that distinguishes different scales of the synthetic representation and a simulated scene to define structures associated with the distorted view. The method also includes detecting the object using a decoder model that identifies an attribute and a bounding box of the object from the features. The method also includes executing a task using the attribute and the bounding box to localize the object in the simulated scene.

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: A system for maintaining a range of a gap between an ego vehicle and a preceding vehicle can include a processor and a memory. The memory can store a calculations module and an actuation module. The calculations module can cause the processor to determine a time, during a deceleration phase or an acceleration phase of a stop-and-go cycle of the preceding vehicle, when a preceding vehicle speed will equal a desired speed of the ego vehicle. The calculations module can cause the processor to determine: (1) in response to the time being during the deceleration phase, that the gap will be smaller than a desired maximum gap or (2) in response to the time being during the acceleration phase, that the gap will be larger than a desired minimum gap. The actuation module can cause the processor to change an ego vehicle speed to correct the gap.

Abstract: A label structure includes: a base material including a print area on which information arranged in a predetermined direction is printed on a front surface of the base material; an adhesive portion in which an adhesive is laminated on a back surface of the base material; and a separator configured to cover the adhesive portion. At least the print area of the base material is formed with a base material partition portion partitioned by a base material tear-off line, the base material partition portion includes a plurality of intersections extending in a direction intersecting with the predetermined direction, and the separator is formed with a separator partition portion partitioned by a separator tear-off line in an area corresponding to at least a part of an area corresponding to the base material partition portion.

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: 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: 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: A server for communication-efficient model aggregation in federated networks for connected vehicle applications is provided. The server includes a controller programmed to: obtain contributions of a plurality of vehicles in a federated learning framework; determine weights for local gradients received from the plurality of vehicles based on the contributions; adjust the weights based on a comparison of potential functions for the plurality of vehicles; and aggregate the local gradients based on the adjusted weights to obtain a global model.

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.