Abstract: A system for securing an aerial vehicle to a lower portion of a docking station, including a docking station having a top section located in an upper portion of the docking station, the top section having an interface configured to hang the docking station above the ground and a bottom section located in a lower portion of the docking station, the docking station having a latching mechanism located on the bottom section, configured to secure the aerial vehicle to the docking station, the system also including the aerial vehicle having a docking member configured to dock the aerial vehicle into the docking station and to release the aerial from the latching mechanism of the docking station, and a processing module configured to control the operation of the docking member.

Abstract: A modular autonomous cart assembly for transporting an item being shipped is described with a sensor-equipped mobility base that carries the item(s), a modular cart handle, a sensor-equipped modular mobile cart autonomy control module detachably attached to the modular handle, all sharing a modular common power and data transport bus. The autonomous controller of the modular control module is programmatically adapted operative to establish a secure connection to a wireless mobile courier node, locate the courier node and the cart assembly, receive sensor data from the base and control module sensors, generate steering and propulsion control commands using the locations and sensor data and send them to a controller on the mobility base so that the assembly can autonomously track and follow the current location of the courier node as the courier node moves and while maintaining a predetermined follow distance from the current location of the courier node.

Abstract: The present subject matter provides various technical solutions to technical problems facing sensor-based vehicle safety technology. To address problems facing identification of safety features (e.g., safety sensors) for a particular vehicle, a vehicle safety feature identification system may be used to identify a vehicle and the safety features that are installed on that vehicle. To address problems facing identification of which safety sensors require maintenance, a vehicle safety feature maintenance system may be used to identify vehicle safety sensors based on information received about one or more vehicle repairs, such as structural repairs following a vehicle collision. The vehicle safety feature maintenance system may use image data or other inputs to identify a vehicle repair area, identify other vehicle components that must be removed or adjusted to complete the vehicle repair, and identify all vehicle safety sensors and other safety features that will need to be repaired, replaced, or recalibrated.

Abstract: Systems and apparatuses for receiving data from a plurality of sensors and using the data, as well as other data, to generate a parking recommendation for an autonomous vehicle and instruct the autonomous vehicle to travel to the recommended parking location are provided. Data may be received from a plurality of sensors within a first autonomous vehicle, as well as from other vehicles and/or structures. Historical parking data associated with the first autonomous vehicle may also be extracted. In some examples, an expected future trip of the first autonomous vehicle may be determined. The system may then evaluate the data to generate a parking recommendation for the first autonomous vehicle. The system may generate and transmit instructions for traveling from a current location to the recommended parking location and may cause the first autonomous vehicle to travel to the recommended parking location.

Abstract: A parking assist apparatus uses vehicle information and the recognition result of a peripheral recognition unit to calculate a plurality of patterns of parking paths, in which the radius of curvature of each of the arcs included in the parking paths is differentiated, as parking paths to park a vehicle at a parking area, by a parking path calculation unit. In addition, the parking assist apparatus selects, among the plurality patterns of parking paths, a parking path with both a minimum number of times of driving operations for changing an advancing direction of the vehicle from forward to reverse or reverse to forward, and the radius of curvature of the arc that is largest, by a parking path selection unit.

Abstract: An information management device of a work machine includes an information collection unit that collects vehicle information of the work machine, an information analysis unit that analyzes the vehicle information to generate analysis information, a selection definition storage unit that stores a selection definition that defines transmission propriety information indicating whether it is allowed to transmit the vehicle information and the analysis information to a general-purpose processing function unit, and an information selection unit that selects, based on the selection definition, information to be transmitted to the general-purpose processing function unit.

Abstract: A device projects a virtual three-dimensional map of a physical environment onto an area captured by an image sensor of the device. The device receives user input to begin tracking device motion. In response to receiving the user input, the device tracks its motion within the area. The device determines location data within the area and orientation data of the image sensor within the area based on the tracked motion of the device. At least one of the location data or the orientation data is converted to real-world coordinates based on the virtual three-dimensional map of the physical environment. Path data is generated for a physical vehicle based on the at least one converted location or orientation data.

Abstract: A system for digital twinning a telehandler and a controller. The telehandler includes a sensor, a device, and an electronic control system. The controller is configured to receive multiple datasets from at least one of the sensor, the device, or the electronic control system of the telehandler. The controller is also configured to generate a virtual telehandler based on the datasets. The virtual telehandler includes a visual representation of the telehandler and the datasets. The controller is also configured to operate a display of a user device to provide the visual representation of the telehandler and one or more of the datasets to a user.

Abstract: A self-driving or autonomous vehicle transmits a vehicle-to-vehicle offer message from a user of a vehicle-connected mobile communication device riding in the self-driving vehicle to a second user of a second mobile communication device riding in a second vehicle to pay for a traffic prioritization relative to the second vehicle. The first mobile communication device receives a reply message and sends a payment to the second mobile communication device or an account associated with the second mobile communication device to obtain the traffic prioritization relative to the other vehicle. For example, the traffic prioritization may enable one vehicle to pass the other vehicle, to take precedence at an intersection or to be given priority to take a parking place or any other traffic-related advantage.

Abstract: A method of operating a vehicle, such as an autonomous vehicle, includes the steps of receiving a message from roadside infrastructure via an electronic receiver and providing, by a computer system in communication with said electronic receiver, instructions based on the message to automatically implement countermeasure behavior by a vehicle system. Additionally or alternatively, the method may include the steps of receiving a message from another vehicle via an electronic receiver and providing, by a computer system in communication with said electronic receiver, instructions based on the message to automatically implement countermeasure behavior by a vehicle system.

Abstract: A control system includes a base device to be mounted on a mobile object, an aerial vehicle, a cable including a power supply cable for supplying electric power from the mobile object to the aerial vehicle and connecting the base device with the aerial vehicle, and a control device that controls flight of the aerial vehicle. The control device controls the aerial vehicle so that a relative altitude of the aerial vehicle with respect to the mobile object matches a target relative altitude. This control system optimizes an altitude of the aerial vehicle in accordance with the mobile object.

Abstract: A platform with an auto-router takes into account non-navigation data, such as IR image sensor data or other non-navigation data to develop a route for a platform. The non-navigation data may be obtained from existing non-navigation sensors carried by the platform. The non-navigation data is fed to an auto-router that takes into account the non-navigation data to generate or dynamically alter a route for the platform.

Abstract: Logged data from an autonomous vehicle is processed to generate augmented data. The augmented data describes an actor in an environment of the autonomous vehicle, the actor having an associated actor type and an actor motion behavior characteristic. The augmented data may be varied to create different sets of augmented data. The sets of augmented data can be used to create one or more simulation scenarios that in turn are used to produce machine learning models to control the operation of autonomous vehicles.

Abstract: A method performed in an unmanned aerial vehicle is provided for alerting about failure of the unmanned aerial vehicle. The method comprises identifying a malfunctioning in the unmanned aerial vehicle, and transmitting to a network node, a failure report comprising the malfunctioning and/or position of the unmanned aerial vehicle. Methods in a network node, and an unmanned aerial vehicle are also provided.

Abstract: A method for providing a route in response to a request includes receiving a request for a route, comprising a start location and an end location. The method further includes determining a source based at least in part on the request and obtaining route segments from the source. Additionally, the method includes generating a suggested route, comprising a plurality of the route segments, and transmitting the suggested route in response to the request. The suggested route is generated based at least in part on the start location, the end location, and the route segments. Systems for carrying out the method are also disclosed.

Abstract: The present invention is for an autonomous aerial vehicle that enables near real-time and offline data processing among heterogenous devices that are in unreliable or unconnected network service areas, wherein the heterogenous devices are associated with heavy industrial systems. The autonomous aerial vehicle may obtain data from a first physical asset, and segment the obtained data as suitable for a local area compute node and/or a cloud compute node. The autonomous aerial vehicle may identify a location associated with the one or more destination devices and may compute a flight path to the destination location. The aerial device may thereafter travel to the destination location and upload relevant data to the at least one destination upon arrival.

Abstract: An unmanned aerial vehicle (UAV) system for maintaining UAV flight continuity, includes a ground station, a first UAV, a second UAV, a processor, and a memory. The memory contains instructions thereon, which, when executed by the processor in response to receiving a remaining battery charge signal from the first UAV, selectively deploy the second UAV from the ground station when the remaining battery charge signal indicates that a remaining battery charge of the first UAV is below a threshold value, and return the first UAV to the ground station.

Abstract: A construction site safety management apparatus which is wirelessly communicatively connected with a positioning device or a distance measuring device, the apparatus including a recognition unit for appropriately recognizing respectively mutual positions among the one or more construction machines and, the installation objects or the workers, based on positional information transmitted from the positioning devices and/or distance information transmitted from the distance measuring devices, and a judgement unit for judging mutual proximity among the one or more construction machine and, the installation objects or the workers, based on roles of the installation object and/or the workers preliminarily set for the said one or more of the construction machines, while searching said recognized mutual positions among the one or more construction machine and, the installation objects or the workers, thereby performing centralized control of safety of the construction site.

Abstract: A robot includes a drive system configured to maneuver the robot about an environment and data processing hardware in communication with memory hardware and the drive system. The memory hardware stores instructions that when executed on the data processing hardware cause the data processing hardware to perform operations. The operations include receiving image data of the robot maneuvering in the environment and executing at least one waypoint heuristic. The at least one waypoint heuristic is configured to trigger a waypoint placement on a waypoint map. In response to the at least one waypoint heuristic triggering the waypoint placement, the operations include recording a waypoint on the waypoint map where the waypoint is associated with at least one waypoint edge and includes sensor data obtained by the robot. The at least one waypoint edge includes a pose transform expressing how to move between two waypoints.

Abstract: An unmanned aerial vehicle (UAV) control method includes a takeoff process, a following process and a landing process, wherein the takeoff process includes the following steps: unlocking the UAV, and detecting the current horizontal position of the UAV in the horizontal direction and the current altitude of the UAV in the vertical direction; determining whether the current horizontal position and the current altitude meet takeoff criteria, and controlling the UAV to bounce off and enter into a takeoff state if the determination result is positive. The system provided by the present disclosure employs the above-mentioned method to control a UAV. The method and system provided by the present disclosure meet three functional requirements for a UAV on a moving base platform, namely, stable takeoff, following process and accurate landing, thus decrease the difficulties in the use of a UAV on a moving platform.