Abstract: An artificial intelligence (AI) moving agent is provided. The AI moving agent includes a traveling actuator configured to drive the artificial intelligence moving agent, at least one sensor configured to obtain data for determining an occupied region, and at least one processor configured to determine an occupied region of one or more objects based on the data, and obtain an adjustment zone by resetting a restricted zone set by a user based on the occupied region of the one or more objects.

Abstract: Systems and methods are disclosed for providing predictive distance-to-empty (DTE) assessments for vehicles that can include electric, gas, or hybrid vehicles. An example method includes determining a plurality of learned parameters of vehicle operation of a vehicle based on a plurality of energy consumption parameters of the vehicle; determining a plurality of predictive parameters of vehicle operation of the vehicle selected from any combination of weather data or navigation data, the navigation data being determined relative to a planned route and applying a DTE function for the energy source, the DTE function utilizing the plurality of learned parameters of vehicle operation, and the plurality of predictive parameters of vehicle operation of the vehicle, based on a current capacity of the energy source to determine a DTE for the vehicle.

Abstract: Mines and construction sites are pnme applications for automation. The invention is composed of a protocol that allows multiple machines to be coordinated from a single application. The invention provides what in classical control is called a coordination layer between the machines (4D-RCS). This coordination layer is currently provided by humans as machines only interact with each other in the physical world, but there is no infrastructure to have them coordinated from an autonomous control standpoint.

Abstract: A method and a robot of redefining a position of a robot using artificial intelligence are disclosed, and the robot that redefines a position using artificial intelligence separately stores an entrance-allowable area and an entrance-unallowable area in a space in which the robot moves as a map and stores locating posts that are required for the robot to restore a position thereof.

Abstract: A peripheral data acquisition unit obtains peripheral data indicating a traveling state of a peripheral object traveling around a target object. A data writing unit stores the obtained peripheral data in a history storage unit in association with the position of the target object at the time when the peripheral data is obtained. A control specifying unit specifies a control method of the target object on the basis of, among the peripheral data stored in the history storage unit, the peripheral data stored in association with a current position of the target object.

Abstract: A transportation system comprising a logic node configured to determine an optimized rendezvous location for a vehicle in an area based at least in part on traffic data associated with a plurality of vehicles in the area; and a communication element adapted to communicate the optimized rendezvous location to the vehicle.

Abstract: Provided are a marker-combined simultaneous localization and mapping (SLAM) navigation method, device and system. The method includes: providing an initialization area for a located object, where at least one of the initialization area for a located object, a travelling path of a located object, and a docking device of the located object is provided with an marker including at least one of pose information, identification information and non-identification graphic information; controlling the located object to perform at least one of following operations: starting from the initialization area for a located object, and based on the marker, determining an initial pose of the located object; when the marker is passed on the travelling path, updating a current pose of the located object based on the marker; and when docking with the docking device, adjusting a relative pose between the located object and the docking device based on the marker.

Abstract: A processor-implemented method includes: estimating, from frame images of consecutive frames acquired from one or more sensors, short-term ego-motion information of the one or more sensors; estimating long-term ego-motion information of the one or more sensors from the frame images; determining attention information from the short-term ego-motion information and the long-term ego-motion information; and determining final long-term ego-motion information of a current frame, of the consecutive frames, based on the long-term ego-motion information and the attention information.

Abstract: A method of controlling a sleep maintenance motion includes: determining, by a sleep maintenance mode entry determiner, whether a vehicle enters a sleep maintenance mode; when the vehicle enters the sleep maintenance mode, calculating, by an engine target speed profile calculator, an engine target speed profile; calculating, by an engine/hybrid starter generator (HSG) target torque calculator, an engine/HSG target torque based on the calculated engine target speed profile; and controlling, by the sleep maintenance mode entry determiner, a sleep maintenance motion based on an operation of an engine/HSG.

Abstract: The invention relates to a swimming pool cleaning system comprising a cleaning apparatus (10) to be immersed in the pool, the system further comprising at least one moving image acquisition means (30) secured to a float (31) via a flexible tie (32).

Abstract: In one embodiment, a set of predetermined driving parameters is determined from a set of driving statistics data collected from a number of vehicles, which may be driven by human drivers. For each pair of the predetermined driving parameters, a distribution of the pair of driving parameters is plotted based on their relationship on a two-dimensional (2D) distribution space. The 2D distribution space is partitioned into a number of grid cells, each grid cell representing a particular pair of driving parameters. For each of the grid cells, a probability is calculated that the pair of driving parameter likely falls in the grid cell. A grid table is generated corresponding to the pair of driving parameters. The grid table can be utilized during the autonomous driving at real-time or during simulation to determine a ride stability of an autonomous driving vehicle (ADV) in view of the pair of driving parameters.

Abstract: An information processing device obtains information concerning a plurality of items of food and drink served to a passenger of a mobile body while the mobile body is moving from a start point to an end point of movement, generates information indicating timing of serving of each of the items of food and drink to the passenger, based on information indicating a period of time provided for allowing the passenger to see a viewing object from the mobile body while the mobile body is moving from the start point to the end point, and outputs the information indicating the timing.

Abstract: Systems and methods described herein are provided for determining a platoon configuration for a group of vehicles, determining a set of routes connecting two locations, determining for each route segment the platoon configurations supported and the availability of roadside units on the route segment, and selecting a route from the set of routes connecting the two locations. A route may be selected based on the availability of a roadside unit (RSU) to request an extended time period for a green light to enable a length of the platoon to traverse through an intersection prior to the time period ending. Systems and methods described herein may enable a reconfiguration of a platoon to meet a platoon size restriction for a segment of the selected route.

Abstract: Described herein is a server computing system that controls an autonomous vehicle to perform an operation to at least one of measure or isolate an effect of a variable on an actual power consumption by the autonomous vehicle. Data indicative of the actual power consumption, which is generated based on the operation, and data indicative of a projected power consumption, which is accumulated based on prior execution of the operation by a same or different autonomous vehicle, is received by the server computing system to determine whether an energy efficiency of the autonomous vehicle is degraded. The operation may be performed to identify a degraded vehicle system or component of the autonomous vehicle or to identify an autonomous vehicle in a fleet of autonomous vehicles for which further analysis is desirable. An output is generated by the server computing system that is indicative of the energy efficiency prognostics.

Abstract: A combine harvester has multiple working mechanisms for carrying out specific treatment subprocesses of an overall treatment process for processing crop and a driver assistance system for controlling the working mechanisms, which includes a memory for storing data, a computing device for processing the data stored in the memory, and a graphical user interface. The driver assistance system, together with the particular working mechanisms provided for carrying out the treatment subprocesses, forms independently operating automated adjusting mechanisms which are utilized for optimizing the control of the working mechanisms for carrying out the treatment subprocesses. A process supervisor is assigned to the driver assistance system for controlling individual automated adjusting mechanisms and a data exchange of the automated adjusting mechanisms with one another.

Abstract: An apparatus for an autonomous vehicle may include a controller. The controller may monitor one or more components or systems of the autonomous vehicle. The controller may determine a fault condition of the autonomous vehicle, such as for a component or a system of the autonomous vehicle. The apparatus may include a human-machine interface for a user, such as an occupant of the autonomous vehicle. The apparatus may communicate, via the human-machine interface, an alert based on the fault condition. This may be in accordance with a profile associated with the user.

Abstract: A method and a device for operating an automated vehicle, including: determining a position of the automated vehicle, detecting at least one surroundings feature in the surroundings of the automated vehicle, reading in a planning map depending on the position of the automated vehicle, the planning map being configured for determining a first driving function for operating the automated vehicle, determining a validity of the planning map depending on the position of the automated vehicle depending on the at least one surroundings feature, and operating the automated vehicle depending on the validity of the planning map.

Abstract: A method and apparatus includes at least one environmental sensor mounted to an infrastructure component that is capable of moving relative to ground. The at least one environmental sensor determines an object position. A system uses environmental data collected over time to learn a fixed environment that includes at least one learned reference point. The system determines an amount of movement of the infrastructure component in relation to the learned reference point. The system corrects object position to compensate for movement of the infrastructure component.

Abstract: In one embodiment, a set of parameters representing a first state of an autonomous driving vehicle (ADV) to be simulated and a set of control commands to be issued at a first point in time. In response, a localization predictive model is applied to the set of parameters to determine a first position (e.g., x, y) of the ADV. A localization correction model is applied to the set of parameters to determine a set of localization correction factors (e.g., ?x, ?y). The correction factors may represent the errors between the predicted position of the ADV by the localization predictive model and the ground truth measured by sensors of the vehicle. Based on the first position of the ADV and the correction factors, a second position of the ADV is determined as the simulated position of the ADV.

Abstract: Described herein is an apparatus and a corresponding method for performing warehouse zoning and further monitoring the zoned warehouse. The apparatus includes circuitry that partitions a workspace into a plurality of zones based on an area of the workspace, and a number of transportation vehicles and a number of item racks that are to be deployed in the workspace. A location of each zone within the workspace is determined based on a location of a first type of station that is disposed outside the workspace. The apparatus determines for each zone, an area of the zone and receives a signal indicating occurrence of an event in one of the zones. Further, the apparatus determines a degree of criticality of the occurred event which indicates whether workspace operation in the zone can be continued, and initiates an operation at a timing that is based on the determined degree of criticality.