Abstract: In one embodiment, control of an autonomous driving vehicle (ADV) includes determining a current scenario of the ADV. Based on the scenario, a control algorithm is selected among a plurality of distinct control algorithms as the active control algorithm. One or more control commands are generated using the active control algorithm, based one or more target inputs. The control commands are applied to effect movement of the ADV.

Abstract: An electronic apparatus includes a plurality of trays on which a plurality of service items are provided; a plurality of sensors respectively disposed above the plurality of trays; a memory configured to store map information of a specific space; and a processor configured to: identify a respective service item provided on each of the plurality of trays, based on sensing data received from the plurality of sensors, based on a result of the identifying and the map information stored in the memory, identify a travel path to sequentially deliver each of the plurality of service items that are identified to a plurality of locations corresponding to the specific space, and control travel of the electronic apparatus, based on the travel path.

Abstract: Systems and methods involving obtaining point cloud data from one or more sources corresponding to one or more zones within a real-world space, the point cloud data representing surface features of structures detected within the one or more zones; defining a plurality of first-level nodes based on the point cloud data, individual first-level nodes corresponding to obtained point cloud data corresponding to individual zones of the one or more zones; identifying connections between two or more first-level nodes, the connections between the two or more first-level nodes based on connections between the point cloud data for the zones corresponding to the two or more first-level nodes; and defining a plurality of second-level nodes, individual second-level nodes corresponding to aggregated subsets of first-level nodes for which connections are identified.

Abstract: A method for detecting and reporting anomalies in operation of an aircraft. The method including the steps of: receiving real time data indicative of the operation of the aircraft, the real time data including at least one of the following parameters: ground speed, rate of deceleration of the aircraft, touchdown location, aircraft route, timing of aircraft route, ground movement activities and a maximum landing distance; based on the collected real time data, calculating a predicted performance of the aircraft, and alerting an operator when the predicted performance is outside of an acceptable performance for the aircraft.

Abstract: A processing system of an autonomous aerial vehicle including at least one processor may obtain mapping data describing at least a portion of a facility, navigate, via the mapping data, to a space within the facility to perform an assigned task, and collect spatial sensor data within the space. The processing system may then detect, from the spatial sensor data, at least one object within the space, define a reserved zone within the space to perform the assigned task, based upon the at least one object that is detected, and present at least one of an audible announcement or a visual announcement of the reserved zone.

Abstract: Methods and systems for deploying autonomous vehicles to form a barricade in a coordinated response to an imminent threat are described. In one embodiment, a method for deploying autonomous vehicles to form a barricade is described. The method includes determining at least one location for a barricade and determining a plurality of autonomous vehicles that are available to form the barricade. The method also includes sending instructions to the plurality of autonomous vehicles to form the barricade at the at least one location. In response to the instructions, the plurality of autonomous vehicles are configured to move to the at least one location and form the barricade.

Abstract: A scalable solution to robot behavioral navigation following natural language instructions is presented. An example of the solution includes: receiving, by a pre-trained sequential prediction model, a navigation graph of the task environment, instructions in natural language and an initial location of the robot in the navigation graph, wherein the navigation graph comprises nodes indicating locations in the task environment, coordinates of the nodes, and edges indicating connectivity between the locations; and predicting sequentially, by the pre-trained sequential prediction model, a sequence of single-step behaviors executable by the robot to navigate the robot from the initial location to a destination.

Abstract: The present application discloses a method and apparatus for determining a route, a device and a computer storage medium, and relates to the field of big data.

Abstract: A distance-to-empty presentation apparatus of a fuel cell vehicle includes: a traveling speed acquisition unit configured to acquire a traveling speed of the fuel cell vehicle; a traveling distance acquisition unit configured to acquire a traveling distance of the fuel cell vehicle in a fuel filling period, the fuel filling period is a period from the time when the fuel is filled in the fuel cell vehicle previously to the time when the fuel is filled in the fuel cell vehicle this time; a fuel residual amount acquisition unit configured to acquire a fuel residual amount of the fuel cell vehicle; a fuel consumption amount acquisition unit configured to acquire a fuel consumption amount of the fuel cell vehicle; a fuel efficiency calculation unit configured to calculate fuel filling period fuel efficiency by using the traveling distance in the fuel filling period and a traveling period fuel consumption amount that is the fuel consumption amount during traveling preparation and during traveling in the fuel fillin

Abstract: An aircrew automation system that provides a pilot with high-fidelity knowledge of the aircraft's physical state, and notifies that pilot of any deviations in expected state based on predictive models. The aircrew automation may be provided as a non-invasive ride-along aircrew automation system that perceives the state of the aircraft through visual techniques, derives the aircraft state vector and other aircraft information, and communicates any deviations from expected aircraft state to the pilot.

Abstract: In one aspect, a system for automatically assigning vehicle identifiers for autonomous vehicles can include a registry server computing system configured to perform operations. The operations can include receiving, at the registry server computing system and from a vehicle computing system onboard an autonomous vehicle, data describing the autonomous vehicle and generating, at the registry server computing system, a vehicle identifier for the autonomous vehicle based on the data describing the autonomous vehicle. The vehicle identifier can be different than and distinct from the data describing the autonomous vehicle. The operations can include associating, at the registry server computing system, the data describing the autonomous vehicle with the vehicle identifier for the autonomous vehicle in a vehicle registry. The vehicle registry can include respective vehicle identifiers associated with a plurality of autonomous vehicles.

Abstract: The present disclosure relates to an ISG control system and an ISG control method for a construction machine capable of controlling ISG even in a working state of a construction machine, the ISG control system including: a surrounding environment determinator configured to determine surrounding environment of the construction machine; and a vehicle controller configured to determine whether the construction machine is in a working state or a traveling state based on a determination result from the surrounding environment determinator, wherein the vehicle controller controls an engine based on a preset work ISG condition when it is determined that the construction machine is in the working state, and wherein the vehicle controller controls the engine based on a preset travel ISG condition when it is determined that the construction machine is in the traveling state.

Abstract: Aspects of the disclosure provide for the generation of a driving difficulty heat map for autonomous vehicles. For instance, log data generated by a vehicle being driven in a manual driving mode for a segment of a route may be input into a disengage model in order to generate an output identifying a likelihood of a vehicle driving in an autonomous driving mode requiring a disengage from the autonomous driving mode along the segment of the route. The log data may have been collected within a geographic area. A grid for the geographic area may be generated. The grid may include a plurality of cells. The output is assigned to one of the plurality of cells. The plurality of cells and assigned output may be used to generate a driving difficulty heat map for the geographic area.

Abstract: A method for autonomous vehicle test data distribution and analysis is described. The method includes uploading driving session data from a computer of a drive site to a network attached storage of the drive site. The method also includes uploading the driving session data from the network attached storage of the drive site to a cloud-based storage location. The method further includes distributing the driving session data from the cloud-based storage location and a work unit to at least one research site separate from the drive site. The method also includes processing, by the at least one research site, the driving session data according to an analysis/processing task associated with the work unit.

Abstract: This disclosure relates to system and method for cleaning surfaces using drones. The method includes identifying, by a first drone, a cleaning strip in contact with a surface. The cleaning strip connects a second drone and a third drone. The second drone is communicatively coupled with the third drone. The first drone is communicatively coupled with each of the second drone and the third drone. The method further includes releasing a cleaning agent at a preconfigured pressure upon a current target region of the surface near the cleaning strip. The method further includes relocating the cleaning strip upon the current target region. The method further includes performing a set of oscillations through the cleaning strip across the current target region. Each of the set of oscillations includes coordinating a displacement of the cleaning strip by a predefined distance, alternating towards each of ends of the cleaning strip.

Abstract: A method controlling a vehicle moving along a guideway for magnetic flight is provided. The method includes receiving, at a controller, data generated by one or more sensors. The controller receives data relating to a projected flight path of the vehicle. The controller determines an altitude of the vehicle relative to the guideway for magnetic flight and determines a speed of the vehicle relative to the guideway for magnetic flight. The controller then calculates a deviation of the vehicle from the projected flight path. The controller adjusts the altitude of the vehicle relative to the guideway for magnetic flight by changing certain aspects of a magnetic flight suspension system causing the vehicle to more closely track the projected flight path.

Abstract: This document describes methods by which a system determines a pickup/drop-off zone (PDZ) to which a vehicle will navigate to perform a ride service request. The system will define a PDZ that is a geometric interval that is within a lane of a road at the requested destination of the ride service request by: (i) accessing map data that includes the geometric interval; (ii) using the vehicle's length and the road's speed limit at the destination to calculate a minimum allowable length for the PDZ; (iii) setting, start point and end point boundaries for the PDZ having an intervening distance that is equal to or greater than the minimum allowable length; and (iv) positioning the PDZ in the lane at or within a threshold distance from the requested destination. The system will then generate a path to guide the vehicle to the PDZ.

Abstract: A remote driving service processing device includes a general user terminal by which a remote driving service is requested for moving a vehicle to a destination, a remote operation terminal by which the vehicle is remotely operated, and a server that, if the vehicle does not satisfy a requirement for ending the remote driving service when the vehicle arrives at the destination, sends an and permission request to end the remote driving service, which is received from the remote operation terminal, to the general user terminal, and, when receiving a consent to end the remote driving service from the general user terminal as a response to the end permission request, sends the consent to end to the remote operation terminal and ends the remote driving service.

Abstract: A method for use in traversing a vehicle transportation network by an autonomous vehicle (AV) includes traversing, by the AV, the vehicle transportation network. Traversing the vehicle transportation network includes identifying a distinct vehicle operational scenario; instantiating a first decision component instance; receiving a first set of candidate vehicle control actions from the first decision component instance; selecting an action; and controlling the AV to traverse a portion of the vehicle transportation network based on the action. The first decision component instance is an instance of a first decision component modeling the distinct vehicle operational scenario.

Abstract: A maintenance prediction system for generating one or more recommended actions for an individual to perform upon a vehicle is disclosed, and includes a camera configured to capture image data of one or more components of interest and image data of one or more body size parameters of the individual. The maintenance prediction system also includes one or more assembly databases storing three-dimensional model data representing components of the vehicle, one or more processors in electronic communication with the camera and the one or more assembly databases, and a memory coupled to the one or more processors. The maintenance prediction system generates one or more notifications indicating the recommended actions for the individual to perform upon the vehicle.