Abstract: There is provided an information processing apparatus including circuitry configured to generate a map specification based on a behavior objective of a mobility device or a state of the mobility device, and create, based on the generated map specification, an outside map of an environment external to the mobility device that satisfies the generated map specification.

Abstract: Computer systems and methods for updating and/or supplementing a digital road map through crowdsourcing, based on the generalization of geolocation systems that are integrated in the majority of modern road vehicles. The signals collected by these geolocation systems are used to update and/or supplement a digital road map through crowdsourcing.

Abstract: Provided is an automated valet parking system that automatically moves an autonomous driving vehicle to a pick-up space of a parking place by issuing an instruction to the autonomous driving vehicle parked in the parking place according to a pick-up request from a user. The system includes a user position determination unit configured to determine whether or not a user frontend of the user is located in a preset pick-up area or a preset near-pick-up area including the pick-up space, a pick-up request reception unit configured to receive the pick-up request when the user position determination unit determines that the user frontend is located in the pick-up area or the near-pick-up area, and a vehicle instruction unit configured to instruct the autonomous driving vehicle that is a target of the pick-up request to move to the pick-up space when the pick-up request reception unit receives the pick-up request.

Abstract: Embodiments provide for methods and portable positioning devices adapted to determine a geospatial position of a point of interest. In one embodiment, the portable positioning device comprises an antenna, a levelling detector, an imaging device, a display unit and a processing unit. The antenna may be adapted to receive satellite information signals. The levelling detector is arranged relative to the antenna for detecting whether the antenna is positioned horizontally. The imaging device has an optical axis and a sighting axis. In one embodiment, the sighting axis intersects an antenna axis. In another embodiment, the sighting axis is aligned with the antenna axis. The display unit may be provided for assisting in identifying the point of interest within a field of view of the imaging device and for assisting in identifying whether the antenna is horizontally levelled and whether a phase center and the point of interest are vertically aligned.

Abstract: A method for controlling an autonomous unmanned aerial vehicle for delivery of a medication package includes determining a thermal control period for the medication package. The method also includes identifying a delivery location corresponding to the medication package. The method also includes identifying at least one environmental characteristic of an environment that includes a delivery three-dimensional flight path between a starting location and the delivery location, wherein the at least one environmental characteristic indicates an actual weather value at the delivery location. The method also includes determining whether to deliver the medication package based on the thermal control period and the at least one environmental characteristic, using the unmanned aerial vehicle.

Abstract: A teleoperations system that collaboratively works with an autonomous vehicle guidance system to generate a path for controlling the autonomous vehicle may comprise generating one or more trajectories at the teleoperations system based at least in part on environment data received from the autonomous vehicle and presenting the one or more trajectories to a teleoperator (e.g., a human user, machine-learned model, or artificial intelligence component). A selection of one of the trajectories may be received at the teleoperations system and transmitted to the autonomous vehicle. The one or more trajectories may be generated at the teleoperations system and/or received from the autonomous vehicle. Regardless, the autonomous vehicle may generate a control trajectory based on the trajectory received from teleoperations, instead of merely implementing the trajectory from the teleoperations system.

Abstract: An embodiment for recommending routes in an enhanced navigation system is provided. The embodiment may include receiving a destination from a primary user. The embodiment may also include obtaining a tentative list of routes. The embodiment may further include identifying each user and characteristics associated with each user. The embodiment may also include analyzing current conditions of the tentative list of routes and the characteristics. The embodiment may further include identifying one or more optimal routes. The embodiment may also include recommending the one or more optimal routes to the primary user. The embodiment may further include in response to determining the primary user selects an optimal route of the one or more optimal routes, presenting the selected optimal route on a navigation display to the primary user.

Abstract: A method, apparatus and server for real-time learning of a travelling strategy of a driverless vehicle are provided. The method includes: when a first travelling strategy of the driverless vehicle is unable to be generated, recording travelling trajectories of other vehicles on a road; when a number of vehicles on a same travelling trajectory is greater than a preset first number threshold, generating a second travelling strategy using the same travelling trajectory; and controlling the driverless vehicle to travel using the second travelling strategy. A situation in which a driverless vehicle is unable to normally generate a travelling strategy can be improved effectively.

Abstract: A method of operating a vehicle control device for an article transport system in a production factory include identifying a first access point that is disabled from communicating with the vehicle control device among access points for performing wireless communication with respective vehicles in the production factory, identifying a first vehicle positioned in a disabled communication region corresponding to a coverage of the first access point, and transmitting a first message, which is intended to be transmitted to the first vehicle, to a second vehicle connected to a second access point and transmitting a second message for instructing the second vehicle to move to the disabled communication region.

Abstract: A moving robot includes: a sensor to acquire terrain information; a memory to store node data for at least one node; and a controller, and the controller determines whether at least one open movement direction exists among a plurality of movement directions, based on sensing data and the node data, generates a new node in the node data when at least one open movement direction exists, determines any one of the open movement directions as a traveling direction for the robot, determines whether at least one of the nodes needs to be updated exists, based on the node data when the open movement direction does not exist, controls the moving robot to move to one of the nodes that need to be updated, and generates of a map including the at least one node, based on the node data, when the node that needs to be updated does not exist.

Abstract: A system performs modeling and simulation of non-stationary traffic entities for testing and development of modules used in an autonomous vehicle system. The system uses a machine learning based model that predicts hidden context attributes for traffic entities that may be encountered by a vehicle in traffic. The system generates simulation data for testing and development of modules that help navigate autonomous vehicles. The generated simulation data may be image or video data including representations of traffic entities, for example, pedestrians, bicyclists, and other vehicles. The system may generate simulation data using generative adversarial neural networks.

Abstract: The disclosure relates to a method for creating an object map for a factory environment by using sensors present in the factory environment, wherein at least one part of an object in the factory environment has information relating to its position recorded by at least two of the sensors, wherein the information recorded by the sensors is transmitted to a server associated with the sensors, and wherein the server is used to take the information recorded and transmitted by the sensors as a basis for creating an object map for the factory environment having a position of the at least one part of the object.

Abstract: A system includes one or more processors configured to generate recommended machine settings associated with machine operating parameters. The system receives sensor data associated with an environment of a machine. Based on the sensor data, the system determines one or more settings associated with operating parameters for the machine, to optimize the efficiency thereof. The system causes a recommendation to apply the setting to be presented on a display associated with the machine, such as for an operator to accept. In some examples, the operator manually applies the setting(s). In some examples, the system causes a computing device of the machine to apply the setting(s). The system may continuously and/or periodically provide recommendations as conditions in the environment change.

Abstract: Example systems, methods, and apparatus to optimize autonomous vehicle workflows are disclosed. An example apparatus includes at least one memory; instructions; and a processor to execute the instructions to determine an expected arrival time for an autonomous vehicle at a first location, the autonomous vehicle to deliver a first product to the first location in response to a first task assigned to the autonomous vehicle, the first product associated with a first order; perform a comparison between the expected arrival time for the autonomous vehicle and an expected arrival time associated with a second task; select a third task to be performed by the autonomous vehicle based on the comparison, the third task selected for having the autonomous vehicle arrive at the first location after performance of the third task within a threshold time of the expected arrival time; and instruct the autonomous vehicle to perform the third task.

Abstract: Aspects of the disclosure provide a method of identifying off-road entry lane waypoints. For instance, a polygon representative of a driveway or parking area may be identified from map information. A nearest lane may be identified based on the polygon. A plurality of lane waypoints may be identified. Each of the lane waypoints may correspond to a location within at least one lane. The polygon and the plurality of lane waypoints may be input into a model. A lane waypoint of the plurality of lane waypoints may be selected as an off-road entry lane waypoint. The off-road entry lane waypoint may be associated with the nearest lane. The association may be provided to an autonomous vehicle in order to allow the autonomous vehicle to use the association to control the autonomous vehicle in an autonomous driving mode.

Abstract: An objective of the present invention is to achieve a roll flight of a wireless controlled airplane with a simple control operation. An arithmetic processing device according to the present invention includes an arithmetic section configured to calculate control amounts for correcting a change amount around a pitch axis and a change amount around a yaw axis for a wireless controlled airplane depending on a change amount for a roll axis for the wireless controlled airplane.

Abstract: This disclosure relates to systems and methods for performing inclusive indoor navigation. State of the art systems and methods require extra hardware and fail to provide accurate localization and navigation with less precision. The method of the present disclosure obtains a nested environment data of a facility and estimate current spatial location of a user in the nested environment using surrounding recognition machine learning model. An optimal path categorized as convenient path, shortest path and multi-destination path from the current spatial location to a destination is determined. The current spatial location of the user is tracked on the optimal path using an augmented reality technique when navigation starts. The optimal path is dynamically updated based on feedback obtained from one or more user interaction modalities. The present disclosure provides user navigation with last meter precision, and no hardware and internet dependency.

Abstract: A network of computing devices connected to the central AOG management server execute the process of collecting data from a crew with a maintenance controller, supporting the creation of an unique electronic data package to record the data, submitting a maintenance requests from the server to independent mechanics mobile devices and/or maintenance repair and overhaul (MRO) computing systems for maintenance using the collect data, supporting maintenance control center controller to identify the needed materials for the events, providing visibility of the case solution progress to all parties involved and/or effected and providing ways to retrieve all data related to specific cases and creating analyses and reports to support Vehicles Operators (e.g., Airlines), independent mechanics, MROs (maintenance repair overhaulers), material providers and OEMs to improve their processes to solve events.

Abstract: In some embodiments, an electronic device displays indications of safety characteristics of one or more navigational segments of a navigation route. In some embodiments, an electronic device displays navigation options. In some embodiments, an electronic device presents indications of navigation directions while navigation along a route.

Abstract: The technology involves communicating the reachability status associated with an autonomous vehicle to a user such as a rider within the vehicle, a person awaiting pickup, or a customer that scheduled a package deliver. Reachability information about pickup and/or drop off locations is presentable via an app on a user device, which helps set expectations with customers about where the vehicle is most likely to be able to perform a pickup and/or drop off. This may include indicating how much variance there may be based on current congestion, parking or idling regulations, or weather conditions. The reachability information may be presented via one or more visualization tools to indicate the uncertainty and/or likely final location. Presenting such contextual information may be done based on real time information, and the presentation may be updated as needed. Historical information about the location may also be used to lower the level of uncertainty.