Abstract: A method for traffic characterization associated with a vehicle including collecting a movement dataset sampled at least at one of a location sensor and a motion sensor associated with the vehicle, during a driving session associated with movement of the vehicle; extracting a set of features from the movement dataset associated with movement of the vehicle during the driving session; and determining one or more traffic-related characteristics associated with the vehicle based on the set of features.

Abstract: Systems and methods for controlling an unmanned aerial vehicle are disclosed. The system comprises an image sensor configured to generate output signals conveying visual information, the visual information including one or more images of a user, and one or more physical processors. The one or more physical processors are configured by computer-readable instructions to recognize one or more gestures from the user based on the visual information, interpret the one or more gestures from the user as flight control information, and provide flight control for the unmanned aerial vehicle based on the flight control information.

Abstract: Problems to be Solved To provide a control apparatus for an unmanned aerial vehicle and an unmanned aerial system capable of pruning a tree by appropriately specifying a pruning position to prune a branch of the tree and further adjusting a shape of the tree.

Abstract: Aspects of the disclosure relate to parking behaviors and maneuvering a vehicle in an autonomous driving mode accordingly. For instance, a pullover location for the vehicle to stop and wait for a passenger may be identified. The vehicle may be maneuvered in the autonomous driving mode in order to pull over by pulling forward into the pullover location. Whether to maneuver the vehicle in reverse in the pullover location before or after the passenger enters the vehicle may be determined based on context for the pull over with respect to the passenger. The vehicle may be maneuvered in the autonomous driving mode in reverse based on the determination of whether to maneuver the vehicle in reverse in the pullover location before or after the passenger enters the vehicle.

Abstract: A method for switching modes for operating a vehicle, a non-transitory computer-readable medium for performing the method, and information processing apparatuses. The method includes determining, by circuitry of an information processing apparatus, whether a mode for operating the vehicle is to be switched from one of autonomous and manual driving modes to the other of the autonomous and manual driving modes. A state of a driver of the vehicle is obtained when the mode for operating the vehicle is determined to be switched. The method further includes switching, by the circuitry, the mode for operating the vehicle from the one of the autonomous and manual driving modes to the other of the autonomous manual driving modes based on the obtained state of the driver.

Abstract: A surveying system for a construction site has a restricted antenna system with a plurality of fixed location antennas each defined by a set of location data associated with a specific deployment position. The surveying system also has a computing device with a data processor and a display screen. A communications module establishes a data transfer link with the restricted antenna system over which spatial data for distances between current positions of the computing device and one or more of the plurality of fixed location antennas are received. The computing device is loadable with project drawings corresponding to the construction site and displayable on the display screen. A position marker is overlaid on the display of the project drawing at a position thereon corresponding to a computing device location value derived from the spatial data and the location data of one or more of the fixed location antennas.

Abstract: The embodiments disclose a method including providing an aerial drone coupled wirelessly to a social distancing application on a user digital device, wherein the drone is coupled to solar cell panels for recharging its batteries, providing a strobe light coupled to the drone for signaling an S.O.S.

Abstract: A system for digital twinning a refuse vehicle includes a refuse vehicle, and a controller. The controller is configured to receive multiple datasets from the refuse vehicle, and generate a virtual refuse vehicle based on the multiple datasets. The virtual refuse vehicle includes a visual representation of the refuse vehicle and the multiple datasets. The controller is further configured to operate a display of a user device to provide the visual representation of the refuse vehicle and one or more of the multiple datasets to a user.

Abstract: The devices and methods described herein integrate security and/or recording mechanisms into unmanned vehicle interdiction devices to prevent unauthorized use and to record information related to operation of the unmanned vehicle interdiction device, identification of an unmanned vehicle, location of the unmanned vehicle, and operation of the unmanned vehicle.

Abstract: Various embodiments of the present technology generally relate to unmanned aerial vehicle (UAV) scale rendered analysis, orthomosaic, and 3D mapping and landing platform systems. More specifically, some embodiments relate to systems, methods, and means for the collection and processing of images captured during a UAV flight sequence. In some embodiments, the UAV landing platform retrieves flight information and initial map information over a unidirectional virtual private network from a multitenant cloud-based scheduling application. The UAV landing platform sends the initial map information to a UAV over a WiFi, Bluetooth, or radio frequency network and initiates a drone flight sequence once the drone flight sequence has been approved by a local user. The UAV landing platform receives property image data from a UAV after a UAV flight sequence has ended and transmits the received property image data back to the cloud application.

Abstract: According to a technical aspect of the invention, there is provided a multiple unmanned aerial vehicles navigation optimization method is performed at a ground base station which operates in conjunction with unmanned aerial vehicles-base stations which are driven by a battery to move and cover a given trajectory point set, the multiple unmanned aerial vehicles navigation optimization method including: calculating an age-of-information metric by receiving an information update from the unmanned aerial vehicles-base stations through communication, when the ground base station is present within a transmission range of the unmanned aerial vehicles-base stations; setting conditions of a trajectory, energy efficiency, and age of information of each of the unmanned aerial vehicles-base stations; and executing Q-learning for finding a trajectory path policy of each of the unmanned aerial vehicles-base stations, so as to maximize total energy efficiency of an unmanned aerial vehicles-base station relay network to whic

Abstract: An autonomous earth moving system can determine a desired state for a portion of the EMV including at least one control surface. Then the EMV selects a set of control signals for moving the portion of the EMV from the current state to the desired state using a machine learning model trained to generate control signals for moving the portion of the EMV to the desired state based on the current state. After the EMV executes the selected set of control signals, the system measures an updated state of the portion of the EMV. In some cases, this updated state of the EMV is used to iteratively update the machine learning model using an online learning process.

Abstract: A controller of an information processing apparatus disclosed obtains first information about a tendency of move of a user staying in a specific facility. The controller forecasts, on the basis of the first information, an expected destination of move to which the user will move from the specific facility and an expected time slot of move during which the user will start to move from the specific facility to the expected destination of move. The controller calculates the number of users who are expected to move from the specific facility to the expected destination of move in each expected time slot of move on a slot-by-slot basis.

Abstract: A ground marker for use in identifying a location associated with a mission performed by an aerial vehicle includes a visible surface with aspects that are positioned at different vertical heights or elevations. The vertical variation in the aspects of the visible surface enhances a level of visibility of the ground marker within images captured by cameras provided aboard the aerial vehicle, resulting in more accurate estimations of ranges to such markers (e.g., altitudes) determined from such images. The visible surface includes one-dimensional or two-dimensional bar codes, alphanumeric characters and symbols thereon and is provided on or within rigid or flexible frames that are adapted to be placed on ground surfaces at the location associated with the mission.

Abstract: Disclosed are embodiments for employing off board sensors to augment data used by a ground based autonomous vehicle. In some aspects, the off-board sensors may be positioned on another autonomous vehicle, such as an aerial autonomous vehicle (AAV). The disclosed embodiments determine uncertainty scores associated with ground regions. The uncertainty scores indicate a need to reimage the ground regions. An AAV may be tasked to reimage a region having a relatively high uncertainty score, depending on a cost associated with the tasking.

Abstract: The present disclosure relates to a cargo protection method, device and system, and a non-transitory computer-readable storage medium, relating to the technical field of unmanned aerial vehicles. The method of the present disclosure includes: determining whether an unmanned aerial vehicle is in a falling state or not according to a current acceleration in a vertical direction of the unmanned aerial vehicle and a current vertical distance from the unmanned aerial vehicle to the ground; and opening at least one airbag in a cargo hold of the unmanned aerial vehicle in a case where the unmanned aerial vehicle is in the falling state to protect a cargo in the cargo hold.

Abstract: A system and method for autonomously controlling a set of unmanned aerial vehicles is provided. The autonomous ground control system may include a communications module and a fleet configuration module in communication with one or more user interface applications. The autonomous ground control system may receive one or more flight commands and generate fleet configuration instructions and safety information. The autonomous ground control system may provide the fleet configuration instructions to each unmanned aerial vehicle in the set in order to carry out the fleet configuration instructions in real time.

Abstract: Disclosed herein are embodiments for providing a trusted autonomy framework for unmanned aerial systems. One embodiment of a method includes receiving a request from an entity to participate in secure data sharing within the trusted autonomy framework for unmanned aerial systems, receiving a type of data that will be shared via the entity, and verifying an identity of the entity, a security infrastructure of the entity, and validating the data to be shared. In some embodiments, in response to verifying, accepting the entity into the trusted autonomy framework for unmanned aerial systems.

Abstract: A method of performing deconfliction comprises receiving a request to accept a first operational intent associated with a first unmanned aircraft system, determining whether a conflict exists between the first operational intent and one or more scheduled operational intents, and if a conflict exists between the first operational intent and a second operational intent associated with a second unmanned aircraft system, transmitting data associated with the conflict to a first operator of the first unmanned aircraft system and a second operator of the second unmanned aircraft system, and transmitting information to the first and second operator allowing them to negotiate a resolution of the conflict. If a conflict does not exist, the first operational intent may be accepted. Bids may also be received for a right to utilize a volume of airspace at a particular time and the right may be granted to a highest bidder.

Abstract: Unmanned vehicles can be terrestrial, aerial, nautical, or multi-mode. Unmanned vehicles may be used to direct vehicle traffic in response to a vehicular accident. For example, an unmanned vehicle may analyze information about the accident scene and based on the information direct traffic near the accident scene.