Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for selecting actions for an agent at a specific real-world location using historical data generated at the same real-world location. One of the methods includes determining a current geolocation of an agent within an environment; obtaining historical data for geolocations in a vicinity of the current geolocation of the agent from a database that maintains historical data for a plurality of geolocations within the environment, the historical data for each geolocation comprising observations generated at least in part from sensor readings of the geolocation captured by vehicles navigating through the environment; generating an embedding of the obtained historical data; and providing the embedding as an input to a policy decision-making system that selects actions to be performed by the agent.

Abstract: A remote support system includes a moving body and a remote support terminal operated by a remote supporter. The remote support terminal includes a display device configured to display a support image transmitted from the moving body. The display device displays an auxiliary display being a combination of a first indicator and a second indicator, together with the support image. The first indicator is displayed with a continuous positional change according to an elapsed time from a start of the remote support. The second indicator indicates a communication time needed for communication between the moving body and the remote support terminal by a gap in a position of the second indicator relative to a position of the first indicator, and is displayed with a discontinuous position change accompanying the second indicator being updated at a timing at which the remote support terminal receives the support image.

Abstract: A teleoperations system may be used to generate virtual paths of travel for an autonomous vehicle based upon teleoperations system-provided suggestions, and virtual path suggestion constraints, e.g., based upon physical constraints associated with an autonomous vehicle such as minimum turning radius, trailer sweep, and the like, may be used assist in guiding a teleoperations system operator during generation of virtual path suggestions.

Abstract: A control system controls a system including an autonomously movable mobile robot. The mobile robot includes a light-emitting unit. The mobile robot is configured to determine the traveling state of the mobile robot associated with a traveling environment of the mobile robot, and to control the light-emitting unit to emit light in different light emission patterns depending at least on whether the determination result indicates that there is an abnormality or there is no abnormality.

Abstract: Systems for adjusting travel patterns for autonomous vehicles are disclosed. The system includes a plurality of sensor nodes positioned on a roadway, where each sensor node is operably coupled to at least one distinct sensor node. The system also includes an autonomous vehicle (AV) computing device(s) in electronic communication with the plurality of sensor nodes. The AV computing device(s) adjusts travel patterns for an autonomous vehicle on the roadway by detecting a first sensor node of the plurality of sensor nodes and obtaining positional data for the first sensor node and each subsequent sensor node. The computing device(s) then generate a modified travel pattern for the autonomous vehicle based on positional data for each sensor node, and/or accessibility status for each sensor node. Additionally, the computing device adjusts an initial travel pattern of the autonomous vehicle on the roadway to the modified travel pattern.

Abstract: A method for aircraft flight path generation includes, at a computing system, receiving, for a plurality of waypoints in a geographic area, predicted aircraft noise levels for an aircraft at each waypoint of the plurality of waypoints, the predicted aircraft noise levels predicted based at least in part on a plurality of flight parameters for the aircraft. The predicted aircraft noise levels are input to a flight path prediction system configured to generate a candidate flight path for the aircraft through the geographic area based at least in part on the predicted aircraft noise levels. The candidate flight path is output from the flight path prediction system, wherein the candidate flight path is predicted to result in less ground-level noise when followed by the aircraft as compared to an alternate flight path through the geographic area.

Abstract: A driving data collection method is disclosed, including: obtaining driving scenario requirement information (S203); determining at least one sensor on a vehicle based on the driving scenario requirement information (S204); and then, sending driving data collected by the at least one sensor to a network side device (S206).

Abstract: An electrified vehicle according to the present disclosure is an electrified vehicle including a storage battery configured to be charged with an external power supply. The electrified vehicle includes: a temperature adjustment device configured to adjust a temperature of the storage battery; and a control device configured to control the temperature adjustment device. The control device is configured to control the temperature adjustment device in such a manner that the temperature of the storage battery at a start of charging becomes a target temperature set based on maximum output of the external power supply.

Abstract: In the electronic device, and a control method thereof, the at least one processor can obtain a sub-map, from the semantic map, including a candidate area in which a robot is able to be located according to a movement command, where the candidate area is within a set distance relative to a position of the target object, segment the candidate area into a plurality of cells, based on a footprint of the robot, and determine a target cell among the plurality of cells, based on one of or any combination of a first input about a cost of each of the plurality of cells, a second input about a cell-target distance between each of the plurality of cells and the target object, or a third input about a cell-robot distance between each of the plurality of cells and the robot.

Abstract: Techniques for improving scenario determinations for generate testing scenarios for vehicle control system testing are disclosed. A model generates scenario embeddings based on a natural language scenario description. Similar scenarios are identified and/or generated based on similarities between the embeddings for such scenarios and the embeddings determined for the scenario description. The similar scenarios are evaluated for similarity quality and the results of this evaluation are used to adjust the embeddings, embedding determination process, and/or the similarity determination process. This process may be iteratively performed until the system consistently generates and/or identifies sufficiently similar scenarios.

Abstract: A collision avoidance system may validate, reject, or replace a trajectory generated to control a vehicle. The collision avoidance system may comprise a secondary perception component that may receive sensor data, receive and/or determine a corridor associated with operation of a vehicle, classify a portion of the sensor data associated with the corridor as either ground or an object, determine a position and/or velocity of at least the nearest object, determine a threshold distance associated with the vehicle, and control the vehicle based at least in part on the position and/or velocity of the nearest object and the threshold distance.

Abstract: A traveling vehicle is operable to travel along a predetermined travel path, and includes an indicator with switchable lighting states, an imager to capture an image of a preceding traveling vehicle located in front of a subject traveling vehicle to include the indicator provided to the preceding traveling vehicle in the captured image, and a controller to control traveling of the subject traveling vehicle based on a determination result of the lighting states of the indicator included in the captured image. The indicator includes a first indicator to notify a state of the subject traveling vehicle, and a second indicator to include both images of the indicator in a lit state and the indicator in an unlit state in the captured image.

Abstract: Provided is an apparatus that includes a path planning unit that determines a travel path of a moving apparatus, calculates a path cost for each of a plurality of path candidates by applying a cost calculation algorithm in which a path that enables more stable traveling has a lower cost, and determines the path candidate having the path cost that has been calculated to be the lowest cost as the travel path that is best. The path planning unit further sets a plurality of sampling points in a path, calculates a cost corresponding to each sampling point by applying the cost calculation algorithm in which the cost becomes higher as the difference between landing heights of the left and right legs at each sampling point becomes larger, and calculates an addition value of the costs of the sampling points as the path cost.

Abstract: An AI based system and method for managing heterogeneous network-agnostic swarm of robots is disclosed. The method includes receiving a set of commands from a human machine interface associated with one or more electronic devices, determining one or more robotic capabilities associated with autonomous robot and capturing one or more positional parameters by using one or more sensors. The method includes broadcasting the one or more robotic capabilities and the one or more positional parameters to each of the one or more autonomous robots and determining one or more situational parameters associated with the one or more autonomous robots. Furthermore, the method includes detecting one or more targets and allocating the one or more tasks and the detected one or more targets among the one or more autonomous robots.

Abstract: An unmanned driving system includes a moving object movable by remote control; a moving object configured to be movable by remote control; a remote control unit configured to perform the remote control for the moving object, wherein the remote control unit moves the moving object that has been finished a first work at a first place in a factory to a second place in the factory by the remote control, wherein the first work is a work using production equipment, wherein the second place is a place for performing a second work on the moving object; an information acquisition unit configured to acquire abnormality information, wherein the abnormality information includes at least one of information regarding abnormality in the production equipment, information regarding abnormality in the moving object, and information regarding abnormality in another moving object of the same type as the moving object; and an estimation unit configured to estimate whether or not the moving object has an abnormality using the abno

Abstract: Sports and fitness applications for an autonomous unmanned aerial vehicle (UAV) are described. In an example embodiment, a UAV can be configured to track a human subject using perception inputs from one or more onboard sensors. The perception inputs can be utilized to generate values for various performance metrics associated with the activity of the human subject. In some embodiments, the perception inputs can be utilized to autonomously maneuver the UAV to lead the human subject to satisfy a performance goal. The UAV can also be configured to autonomously capture images of a sporting event and/or make rule determinations while officiating a sporting event.

Abstract: A management apparatus manages driving of a plurality of automated guided vehicles that convey a conveyance target object in a production facility. The apparatus acquires remaining amount information of a battery provided in a selected vehicle selected from the plurality of automated guided vehicles, acquires a conveyance condition of a conveyance target object, the conveyance condition including a condition for specifying a conveyance destination, estimates, based on the remaining amount information and the conveyance condition, a remaining amount of the battery at the time of conveying the conveyance target object to the conveyance destination, and decides a driving mode of the selected vehicle based on an estimation result of the estimation unit.

Abstract: A parking assist device performs parking assist. A vehicle receives assist from the parking assist device. A type determination unit determines a type of received data, which represents data received from the parking assist device or the vehicle. A replacement transmission unit replaces the received data with at least one transmission data, which is prepared in advance, according to the type of the received data and transmits the transmission data to the receiver device, when the type of the received data is a first type. A transfer unit transfers the received data as the transmission data to the receiver device when the type of the received data is a preset second type.

Abstract: Methods and systems are provided for planning locations to surface an unmanned underwater vehicle (UUV) to reset inertial navigation errors by obtaining a GPS fix. A spatial point process model for historical maritime traffic is used to quantify surfacing risk throughout an operational area. Accumulated navigation uncertainty for each candidate surfacing point of a feasible path is modeled and penalized. This allows autonomy to balance the tradeoff between surfacing risk, navigation performance and pathlength. The planning method results in minimizing the path length the UUV travels and the number of times the UUV surfaces, while satisfying a defined constraint on maximum allowable risk.