Abstract: A mobile object configured for movement in an area equipped with VLC illumination sources comprises a light sensor arranged to detect illumination from at least one of the illumination sources within the view of the light sensor; a computer arranged to determine from the detected illumination (i) a position of the mobile object relative to the at least one illumination source and (ii) the identifier of the at least one illumination source; and a transceiver. The transceiver can receive from another mobile object a message comprising the position of the other mobile object relative to a source of illumination, and the identifier of that source of illumination. From this, the computer determines from its position and the message a distance from the other mobile object. A mobile object which transmits such a message is also envisaged.

Abstract: An autonomous driving control apparatus for a vehicle includes: a processor that demands a user of a vehicle to take a control authority of the vehicle during an autonomous driving control when a current driving condition is in a limit situation during the autonomous driving control, and starts a minimum risk maneuver to disable reactivation of the autonomous driving control when the control authority is not transferred to the user; and a storage to store a set of instructions to be executed by the processor and data for determination and performance by the processor. In particular, the processor automatically flashes an emergency light when the minimum risk maneuver is started, and controls automatic flashing of the emergency light to not be released by the user when the vehicle is not in a stopped state.

Abstract: Described herein are systems, devices, and methods for validating location of a docking station for docking a mobile robot. In an example, a mobile robot system includes a docking station and a mobile cleaning robot. The mobile cleaning robot includes a drive system to move the mobile cleaning robot about an environment including a docking area within a distance of the docking station, and a controller circuit to detect, from an image of the docking area, a presence or absence of one or more obstacles in the docking area. A notification may be generated to inform a user about the detected obstacles. The mobile device may generate a recommendation to the user to clear the docking area or reposition the docking station, or suggest one or more candidate locations for placing the docking station.

Abstract: A load alignment aid with range finding sensors positioned diagonally on a mounting platform to calculate range, vertical alignment, and horizontal alignment. Each sensor measures a distance (d) from the mounting platform to the load. Where d(1) does not equal d(2) and d(1) does not equal d(3), a misalignment due to tilt or chassis misalignment is detected. The aid further includes a display which may show a graphic representation of the approach to a load and an alert for misalignment notification.

Abstract: A control apparatus plans a movement route of a moving body based on a recognition result of an exterior environment of the moving body; corrects the planned movement route, based on a recognition result of an obstacle in the exterior environment of the moving body; and controls the movement of the moving body based on the corrected movement route. The recognition result of the obstacle includes a recognition result of a side portion of the obstacle with respect to the movement route of the moving body, and in the correction, the planned movement route is corrected based on a correction amount continuously obtained based on the recognition result of the obstacle associated with advancement of the moving body.

Abstract: The autonomous travel work machine executes the predetermined operation on the operation target while autonomously traveling, and includes: a driving unit driving a wheel to cause a main body to travel; a reception opening disposed on a side face of the main body regarding a traveling direction of the main body; an operation unit mounted on the main body and executing the predetermined operation on the operation target; and a control unit that controls the driving unit switchably between a first operation of causing the main body to travel against the operation target and executing the predetermined operation by the operation unit on the operation target and a second operation of moving the main body to a position where the operation target can be received in the reception opening and executing the predetermined operation by the operation unit on the operation target received in the reception opening.

Abstract: A method for providing a digital localization map. The method includes: determining road sections by evaluating data of a road network to be mapped; classifying the road sections, taking defined conditions of the road network into account; classifying the road sections, taking driving-environment sensor data into account; combining the road sections to form clusters, taking the classifications into account; joint computational processing of each of the clusters; and transmitting the digital localization map created to a vehicle.

Abstract: In implementations of systems for generating indications of traversable paths, a computing device implements a navigation system to receive map data describing a map of a physical environment that includes a destination, locations of display devices and relative orientations of the display devices in the physical environment. The navigation system forms a navigation graph by representing the destination and the locations of the display devices as nodes of the navigation graph and connecting the nodes with edges that indicate traversable path segments in the physical environment. Request data is received describing a request for navigation to the destination and a source of the request. The navigation system generates indications of a traversable path to the destination for display by the display devices based on the navigation graph and the relative orientations of the display devices.

Abstract: [Solution] A driver abnormality determination system includes circuitry configured to detect a driving operation of a driver, detect behavior of the driver's head and motion of eyeballs and/or movement of a sightline of the driver, recognize a driving scene in which the vehicle is driven; a memory that stores a sensor table of a relationship between the driving scene and detected values to be used to determine a driver abnormality; and determine the driver abnormality based on the sensor table, the driving scene, the driving operation and the behavior.

Abstract: A method for zone passage control in an underground worksite having a plurality of operation zones for autonomously operating mobile vehicle operations includes the steps of receiving position information of at least one autonomously operating mobile vehicle in a fusion zone merged of at least a first zone and a second zone associated with a first passage control unit, and in response to detecting a mobile object by a second passage control unit associated with the first zone, performing: checking position of the at least one autonomously operating mobile vehicle, in response to an autonomously operating mobile vehicle being positioned in the second zone, preventing a control command to stop the autonomously operating mobile vehicle in the second zone, and demerging the first zone and the second zone.

Abstract: A method for replacing a first module (30, 40) of a vehicle (1) with a new module (30, 30?, 40). The vehicle (1) includes: at least one drive module (30); and at least one functional module (40). The vehicle (1) has a unique vehicle identity. The method includes: setting (s101) the vehicle (1) into a maintenance mode indicating that the vehicle (1) is not available for operation; and preparing (s102) the vehicle (1) for physical disconnection of the first module (30, 40); when the first module (30, 40) has been physically disconnected from the vehicle (1) and the new module (30, 30?, 40) has been physically connected to the vehicle (1): establishing (s103) an electrical connection between the new module (30, 30?, 40) and the vehicle (1); assigning (s104) the new module (30, 30?, 40) the unique vehicle identity of the vehicle (1); setting (s105) the vehicle (1) into an operational mode; and verifying s106) the electrical connection of the new module (30, 30?, 40).

Abstract: A method for providing an assistance signal and/or a control signal for an at least partially automated vehicle includes receiving surroundings data, in particular an acoustic signal; recognizing a warning signal emitted by a further road user based on the received surroundings data; determining whether a hazardous situation relating to the vehicle is or was indicated by the warning signal; and providing the assistance signal and/or the control signal based on the result of the determination.

Abstract: A vehicle control device comprising: a control unit configured to control an automated parking mode based on a shift position of a transmission when an automated parking is instructed, wherein the automated parking mode includes a first automated parking mode in which steering is not executed and forward movement or rearward movement is possible and a second automated parking mode in which a parking space is detected and steering is executed automatically, and the control unit controls the automated parking mode to be in the first automated parking mode, in a case where the shift position is a first position, and selectively controls the automated parking mode to be in the first automated parking mode or the second automated parking mode, in a case where the shift position is a second position that differs from the first position.

Abstract: An unmanned aerial vehicle includes one or more magnetometers, configured to detect a magnetic field and to output magnetometer data corresponding to a magnitude of the detected magnetic field; a position sensor, configured to detect a position of the unmanned aerial vehicle relative to one or more reference points, and to output position sensor data representing the detected position; one or more processors, configured to control the unmanned aerial vehicle to rotate about its z-axis; receive magnetometer data comprising a plurality of z-axis directional measurements taken during the rotation about the z-axis; receive position sensor data and determine from at least the position sensor data a magnetic field inclination of the detected position; and determine a z-axis magnetometer correction value as a difference between the received magnetometer data for the z-axis and the determined magnetic field inclination.

Abstract: In various examples, a sequential deep neural network (DNN) may be trained using ground truth data generated by correlating (e.g., by cross-sensor fusion) sensor data with image data representative of a sequences of images. In deployment, the sequential DNN may leverage the sensor correlation to compute various predictions using image data alone. The predictions may include velocities, in world space, of objects in fields of view of an ego-vehicle, current and future locations of the objects in image space, and/or a time-to-collision (TTC) between the objects and the ego-vehicle. These predictions may be used as part of a perception system for understanding and reacting to a current physical environment of the ego-vehicle.

Abstract: A computing device equipped with a camera may be used to assist a person in planning and traversing exit routes for a premises. For example, a user may be able to interact with one or more user interfaces generated by the computing device to determine an exit route for the premises. The user may be able to identify various objects, such as stairs or doors, along the exit route. The user may be able to identify graphical or textual information that can be displayed at certain points along the exit route. After determining the exit route, a data structure for the exit route may be shared with other users and/or be used to assist a user in traversing the exit route. For example, the data structure may be used as a basis for overlaying graphics and/or text on a real-time video display as the user traverses the exit route.

Abstract: An example method includes storing marking data to specify at least one selected marking to apply at a target location along a vehicle path of travel, the marking data including a machine-readable description and a marking reference coordinate frame for the selected marking. The method also includes generating task plan data to apply the selected marking based on the marking data and at least one parameter of an application tool. The method also includes determining a location and orientation of the application tool with respect to the vehicle path of travel based on location data representing a current location of a vehicle carrying the application tool. The method also includes computing a joint-space trajectory to enable the application tool to apply the selected marking at the target location based on the task plan data and the determined location of the application tool.

Abstract: Systems, methods, and devices for reserving a vehicle with a desired vehicle characteristic are disclosed herein. A system includes a receiver to receive a request to reserve a vehicle, wherein the request indicates a desired vehicle characteristic. The system includes a controller configured to determine a change to the vehicle that will satisfy the vehicle characteristic, and the system includes an implementation component configured to implement the change to the vehicle.

Abstract: There is disclosed at least a method for receiving a road object observation associated with the road object for a first link. The first link is associated with at least one second link. A first heading data is determined for the received road object observation. A matched location is determined for the received road object observation on the at least one second link. A second heading data is determined for the received road object observation, based on the determined matched location. The road object is identified based on the determined first heading data and the determined second heading data, wherein as a result of identifying, the identified road object is either determined as associated with the first link or is determined to be not associated with the first link.

Abstract: Disclosed herein are a method for driving a robot based on an external image, and a robot and a server implementing the same. In the method, and the robot and server implementing the same, drive of a robot is controlled further using external images acquired by camera modules installed outside the robot. To this end, a robot according to an embodiment of the present disclosure includes a communication unit configured to communicate with external camera modules acquiring external images including the robot that is being driven, a drive-information acquiring unit configured to acquire driving related information at the time of driving the robot, a driving unit configured to drive the robot, and a control unit configured to control the driving unit using external information including the external images received from the external camera modules and the driving related information.