Abstract: The present disclosure relates to a method for driving on the basis of characteristics of a driving surface, and a robot for implementing the same, and a method for driving on the basis of characteristics of a driving surface, according to one embodiment of the present disclosure, comprises the steps in which: a sensing module of the robot senses an adjacent driving surface to generate characteristic information of the driving surface, and a control unit of the robot stores position and characteristic information of the driving surface in a map storage of the robot; the controller of the robot sets a function to be applied to the driving surface in response to the characteristic information of the driving surface, or generates a movement path selectively including the driving surface corresponding to start and end points of the robot; and the controller controls a moving unit and a functional unit of the robot according to the set function or the movement path.

Abstract: In order to address a conventional problem that it is not possible to provide a user with map expression data whose display mode has been changed according to additional information, an information processing apparatus includes: a map expression data storage unit in which one or more pieces of map expression data expressing a map are stored, the data being associated with one or more attribute values containing region specifying information for specifying a region that is being expressed; an additional information storage unit in which additional information, which is information that is additional, is stored in association with the map expression data; and a transmitting unit that transmits map expression data to a terminal apparatus such that even same map expression data is displayed on the terminal apparatus in a different mode according to the additional information.

Abstract: An apparatus for assisting driving of a vehicle includes a camera mounted to the vehicle for viewing an area in front of the vehicle, a radar sensor mounted to the vehicle to sense around the vehicle, and a controller connected to the camera and/or the radar sensor to detect obstacles and perform collision avoidance control. The controller is further configured to recognize a first obstacle approaching in a lateral direction from an outside of a driving lane of the vehicle, generate and store a collision avoidance path for avoiding collision with the first obstacle, recognize a third obstacle passing behind a second obstacle in the lateral direction after the recognition of the first obstacle is interrupted by the second obstacle, and perform collision avoidance control of the vehicle based on a similarity between the first obstacle and the third obstacle and based on the stored collision avoidance path.

Abstract: A device includes a control input generator and a neural network trainer. A flight simulator is configured to generate first state data responsive to a first control input from the control input generator and to provide the first state data to a first neural network to generate a candidate second control input. The control input generator is also configured to select, based on a random value, a second control input from between the candidate second control input and a randomized offset control input that is based on a random offset applied to the first control input. The flight simulator is configured to generate second state data responsive to the second control input from the control input generator. The neural network trainer is configured to update weights of the first neural network based, at least in part, on the first state data and the second state data.

Abstract: A method of map generation includes receiving data from a plurality of vehicles about environments within which the plurality of vehicles operate, and generating a three-dimensional map using the data from the plurality of vehicles. The data is collected by one or more sensors on-board the plurality of vehicles.

Abstract: A POI (Point Of Interest) information updating device (1) includes an input unit (10) configured to input POI identification information for identifying a POI, an acquisition unit (11) configured to acquire event information on an event performed at a target POI identified by the POI identification information input by the input unit, a search unit (12) configured to search for similar event information similar to the event information acquired by the acquisition unit (11), and an updating unit (13) configured to update information on the target POI on the basis of information on a POI at which an event indicated by the similar event information searched for by the search unit (12) has been performed.

Abstract: A flight aiding method for an unmanned aerial vehicle includes receiving a receiving, from a mobile terminal that controls the unmanned aerial vehicle, a flight aiding instruction to execute a flight aiding function. The flight aiding method further includes in response to receiving the flight aiding instruction, controlling, regardless of a head direction that a head of the unmanned aerial vehicle is pointing, the unmanned aerial vehicle to fly by controlling both a velocity of the unmanned aerial vehicle along a reference direction and a velocity of the unmanned aerial vehicle perpendicular to the reference direction. The reference direction is defined for the unmanned aerial vehicle based on a position of a point of interest and a current location of the unmanned aerial vehicle.

Abstract: A behavior control method for controlling a behavior of a vehicle comprising: specifying a blind-spot region as blind-spot of an environment recognition portion along a travel route for the vehicle; determining a jump-out possibility of a moving object to the travel route from the blind-spot region; performing a possibility reduction behavior to lower the jump-out possibility, in response to that the jump-out possibility is confirmed; and performing a travel behavior compliant with the travel route after starting the possibility reduction behavior.

Abstract: In one aspect, a system for detecting worn or damaged components of an agricultural machine may include first and second acoustic sensors positioned at first and second locations on the agricultural machine, respectively, with the second location being spaced apart from the first location. A controller of the system may be configured to determine a first acoustic parameter associated with the first location of the agricultural machine based on acoustic data received from the first acoustic sensor. The controller may also be configured to determine a second acoustic parameter associated with the second location of the agricultural machine based on acoustic data received from the second acoustic sensor. Furthermore, the controller may be configured to determine a component of the agricultural machine is worn or damaged when the first acoustic parameter differs from the second acoustic parameter by a predetermined amount.

Abstract: Systems and methods for optimizing issue reporting in a navigation environment are provided. In example embodiments, a networked system causes presentation of a navigation user interface on a user device of a user, whereby the navigation user interface includes a route being navigated and navigation instructions. The networked system also causes presentation of one or more issue icons on the user device, whereby each issue icon represents a different type of issue to be reported. A selection of an issue icon from the one or more issue icons is received by the networked system. In response to receiving the selection of the issue icon, the networked system infers a location associated with the issue. The networked system updates a database with the issue and the inferred location. In some embodiments, the database is updated after the inferred location or the issue is verified.

Abstract: An information processing apparatus includes: a map expression data storage unit in which two or more pieces of map expression data expressing a map are stored, the data being associated with one or more attribute values containing region specifying information for specifying a region that is being expressed; a receiving unit that receives position specifying information for specifying a position from a terminal apparatus; a data acquiring unit that acquires one or more pieces of map expression data associated with region specifying information corresponding to a position specified with the position specifying information, from the map expression data storage unit; and a transmitting unit that transmits the one or more pieces of map expression data acquired by the data acquiring unit, to the terminal apparatus.

Abstract: A management system for a work vehicle, includes: a traveling condition data generation unit configured to set traveling condition data including a first traveling route for making a work vehicle travel with forward movement and a second traveling route for making the work vehicle travel with backward movement, in a conveying path leading to a workplace where an operation of the work vehicle is performed; a specific area data acquisition unit configured to acquire specific area data indicating a specific area where the work vehicle is able to switch back in the conveying path; and a switchback command unit configured to output a command signal for switching back the work vehicle traveling on one of the first traveling route and the second traveling route at the specific area, and making the work vehicle travel on the other of the first traveling route and the second traveling route.

Abstract: A self-driving coordination system and the control method thereof are disclosed. The system and the control method are applied to an all-self-driving vehicle fleet. The self-driving coordination system comprises a leader control device, a follower control device, and a server. The leader control device is mounted in a leader. The follower control device is mounted in a follower. The leader control device and the follower control device communicate with each other for bidirectional data transmission. The server communicates with the leader control device and the follower control device for respective bidirectional data transmission.

Abstract: A robot configured for multi-robot pose estimation execute iteratively the primary particle filter and the secondary particle filter independently from each other to update the pose estimations in the primary and the secondary particles. In response to each encounter of the robot with a neighboring robot, the robot receives neighboring particles of a particle filter of the neighboring robot identifying poses and likelihoods of the poses of the neighboring robot and replaces the primary particles of the primary particle filter with the secondary particles fused with the neighboring particles. The robot outputs its pose according to the primary particles of the primary particle filter.

Abstract: A navigation system includes an operation input unit, a temporary storage unit, and a control unit that executes processing concerning the navigation operation using the information for applications. The control unit sets analysis priority levels for analysis processing performed for each of the kinds of the map information and sets generation priority levels for each of the kinds of the information for applications, performs, with at least one kind of map information as an analysis target, the analysis processing generates the information for applications in order according to the generation priority levels based on results of the analysis processing respectively obtained for the map information set as the analysis target, saves the generated information for applications in the temporary storage unit, and executes processing concerning the navigation operation using the information for applications saved in the temporary storage unit.

Abstract: A method for controlling marine vessel speed includes determining a setpoint vessel speed, which is constant while the system is operating in a cruise control mode. The method includes using vessel speed feedback control to adjust operational characteristics of the engine so as to achieve the setpoint vessel speed. The method also includes determining a measured vessel speed and filtering the measured vessel speed. In response to determining that the measured vessel speed is within a given range of the constant setpoint vessel speed, the method includes transitioning to the cruise control mode and comparing the filtered measured vessel speed to the constant setpoint vessel speed for purposes of the feedback control.

Abstract: A map information management device includes a processor; and a memory storing instructions which, when executed by the processor, causes the processor to perform processes of: acquiring map information and determining a guiding route for a vehicle, determining whether the vehicle has operated in accordance with the guiding route, acquiring a position where the vehicle is determined to have operated differently from the guiding route, acquiring an image in which the acquired position is captured, acquiring landmark information from the acquired image, and generating difference information on a difference between the acquired landmark information and landmark information included in map information of the position where the vehicle is determined to have operated differently from the guiding route.

Abstract: System, methods, and other embodiments described herein relate to generating a recommendation for a destination or a route based on desired attributes. In one embodiment, a method of generating a recommendation responsive to one or more requested attributes, includes generating a location tensor associated with a geographical location, the location tensor being a multidimensional datastructure that indicates one or more attributes of the geographical location, extracting, from the location tensor, an embedding that indicates information contained in the location tensor, storing the embedding in a database in association with the geographical location, analyzing a plurality of embeddings in the database to identify at least one geographic area having attributes that correspond with the one or more requested attributes, and generating a recommendation that includes the at least one geographic area.

Abstract: User interfaces for booking and tracking of multi-modal itineraries are disclosed. In some aspects, a mobile device application provides a unified user interface for both booking and status tracking of a multi-modal transportation service including different travel modalities. For example, a first leg of the multi-modal transportation service may include ground-based travel (such as travel via bus, train, walking, or car), and a second leg including aerial travel. Status of the trip may be displayed in each of the legs of the multi-modal transportation service to maintain traveler awareness across the multiple modes of travel and provide for improved ease of use when compared to conventional solutions.

Abstract: Systems and methods are disclosed for dynamically adjusting effective sensor coverage coordinates of a sensor used to assist in navigating an autonomous driving vehicle (ADV) in response to environmental conditions that may affect the ideal operation of the sensor. An ADV includes a navigation system and a safety monitor system that monitors some, or all, of the navigation system, including monitoring: dynamic adjustment of effective sensor coverage coordinates of a sensor and localization of the ADV within a high-definition map. The ADV safety monitor system further determines safety-critical objects surrounding the ADV, determines safe areas to navigate the ADV, and ensures that the ADV navigates only to safe areas. An automated system performance monitor determines whether to pass-through ADV navigation control commands, limit one or more control commands, or perform a fail-operational behavior, based on the ADV safety monitor systems.