Abstract: A braking control device for controlling braking of a host vehicle. For a state in which a host vehicle is stopped in an intersection by automatic emergency braking and an oncoming vehicle is approaching in an oncoming lane, the host vehicle prohibits secondary braking, flashes a hazard lamp, and prohibits an idling stop. For a state in which it is determined in that the vehicle is stopped and it is determined in that it is safe for the vehicle to start moving, the host vehicle releases stop maintenance braking.

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: A marine propulsion system for a marine vessel has a first marine propulsion device coupled to the marine vessel and a second marine propulsion device coupled to the marine vessel. The first marine propulsion device has a first engine controlled by a first electronic control module. The second marine propulsion device has a second engine controlled by a second electronic control module. In response to the first marine propulsion device being keyed ON, the second electronic control module of the second marine propulsion device is turned ON.

Abstract: Disclosed herein are a method of localization by synchronizing multi sensors and a robot implementing the same. The robot according to an embodiment includes a controller that, when a first sensor acquires first type information, generates first type odometry information using the first type information, that, at a time point when the first type odometry information is generated, acquires second type information by controlling a second sensor and then generates second type odometry information using the second type information, and that the robot by combining the first type odometry information and the second type odometry information.

Abstract: Methods and systems of enabling a transportation mode on a telematics device coupled to a vehicle are provided. One method includes detecting a first event or receiving a command for enabling a transportation mode, running a transportation mode power-saving scheme in response to receiving the first event or the command, and exiting the transportation mode power-saving scheme in response to detecting a second event.

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 data processing apparatus includes a communicator, an acquisition unit, and an output controller. The communicator is configured to receive request data from a server. The request data contains a content of a request for collection of traveling state data of a vehicle. The acquisition unit is configured to acquire the traveling state data of the vehicle on the basis of the request data received by the communicator. The output controller is configured to cause an output device to output an acquisition status of the traveling state data acquired by the acquiring unit.

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: An aircraft-based runway overrun awareness alerting system (ROAAS) for an aircraft primary flight display (PFD) is disclosed. In embodiments, the ROAAS is embodied aboard an aircraft and tracks trends in the aircraft position and heading. Further, the ROAAS tracks the trending energy state of the aircraft on approach to a runway. Based on the current energy state, as well as the runway parameters, the ROAAS predicts a landing point for the aircraft along the runway as a trend based on the evolving energy state and position of the aircraft. Based on the landing point trend, as well as the energy state, the ROAAS determines the current likelihood of runway excursion as an evolving trend (e.g., that the aircraft will not have sufficient runway remaining to decelerate or stop) and displays this likelihood as a dynamic graphic element not integrated into any other instruments or components displayed by the PFD.

Abstract: A method for determining a vehicle action includes: by a controller that acquires travel situation information of a road on which a host vehicle travels and determines a driving action from the travel situation information, setting at least one control determining point on a first route on which the host vehicle travels, the control determining point determining whether to run or stop the host vehicle; and determining whether to run or stop the host vehicle at the control determining point before the host vehicle reaches the point. The controller determines whether or not the host vehicle enters a road on which another vehicle or a pedestrian travels or walks with priority over the host vehicle on the first route; and where it is determined that the host vehicle enters the road on which the other vehicle or pedestrian travels or walks with priority, sets the control determining points more densely.

Abstract: A method, apparatus and computer program product for determining a rain event warning are described herein. In the context of a method, an indication of the rain event warning for one or more locations may be received. The method may obtain, for a respective rain event warning, sensor data corresponding to a weather condition within a region that includes the location with which the respective rain event warning is associated. The method may evaluate the sensor data to determine whether the sensor data is indicative of the weather condition (e.g., rain). The method may determine a rain event warning confidence based at least in part on evaluation of the sensor data. The method may cause the rain event warning to be published in an instance in which the rain event warning confidence satisfies a confidence threshold.

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: An approach is provided for calculating a payload survivability estimate and generating aerial routes based on the payload survivability estimate. The approach, for example, involves processing data, such as map data representing the geographic area to identify at least one map feature, at least one material corresponding with the at least one map feature, or a combination thereof. The payload survivability estimate can be based on real-time data, historical data, or a combination thereof. The approach also involves generating a map data layer of a geographic database based on the payload survivability estimate. The approach further involves providing the map data layer as an output.

Abstract: A user interacts with an autonomous mobile device (AMD) using a voice user interface. The voice user interface allows a user to instruct the AMD to move, stop, go to a specified location, and so forth. The commands may include, but are not limited to: stop, stop moving, move, turn, go to, stay here, go away, and so forth. In one implementation, if the AMD is instructed by the user to go away, the AMD may move out of sight of the user from a first region to another region, such as another room. The AMD will avoid traversing the first region until a timer expires or a command to enter the first region is given.

Abstract: A flight deck system for providing task management assistance in managing the flight path to the flight crew is provided.

Abstract: A work machine includes a mechanical arm. A work implement is coupled to the mechanical arm to receive a load. A hydraulic actuator moves the arm between a lower position and an upper position, wherein a distance between the lower position and the upper position is a travel distance of the mechanical arm. A sensor unit is configured to sense the load in the work implement. A valve is in fluid communication with the hydraulic actuator for supplying a fluid output to the hydraulic actuator. A controller is in communication with the valve and the sensor unit. The controller is configured to transmit a control signal to the valve to adjust the fluid output to the hydraulic actuator. The controller is also configured to adjust the upper position to reduce the travel distance in response to the load being at or above a threshold value.

Abstract: A control method for controlling a yaw angle ?z and a roll angle ?x of a vertical take-off aircraft comprising at least two drive groups arranged in opposite side regions of the aircraft so as to be spaced apart from a fuselage of the aircraft is presented. Each drive group comprises at least one first drive unit. The first drive unit is arranged so as to be spaced apart from the fuselage to pivot about a pivot angle ? into a horizontal flight position and a vertical flight position.

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.