Abstract: Method and system for localising a robot 100 using a scale plan of a designated environment are provided herein. In an embodiment, the method comprises: identifying reference features from the scale plan 136; generating a predicted pose 156 of the robot's current location on the scale plan 136 based on the identified reference features; scanning on-site reference features 186 of the current location; generating a map 158 for the current location to localise the robot 100, based on the scanned on-site reference features 186 of the current location and last N frames of historical scans of previous on-site reference features 186 of a plurality of locations in the designated environment that the robot traversed through before reaching the current location; the last N frames being fewer than total frames of the historical scans of the previous on-site reference features 186.

Abstract: Apparatuses, systems, and methods are disclosed for establishing visually detectable ground markings, including in daylight, and designating visually detectable unsafe ground traffic areas from safe ground traffic areas proximate to and beneath an aircraft by providing visually detectable ground images formed from high intensity light energy sources located on an aircraft.

Abstract: Described is a method for controlling a vehicle, which comprises a video recording device comprising a camera module for capturing video around the vehicle and a controller configured to control an access/start of a share key, includes setting a usage limit range for the share key, allowing an access/start of the vehicle by the share key, determining whether the vehicle deviates from the usage limit range during a drive initiated by the access/start, and transmitting to an external server deviation information if it is determined that the vehicle has deviated from the usage limit range.

Abstract: Systems and methods are provided for navigating a host vehicle. A navigation system for the host vehicle may include at least one processor programmed to receive images representative of an environment of the host vehicle; analyze at least one of the images to identify navigational state information associated with the host vehicle; determine a plurality of first potential navigational actions for the host vehicle based on the navigational state information; determine respective future states for the plurality of first potential navigational actions; determine a plurality of second potential navigational actions for the host vehicle based on the determined respective future states; select, based on the plurality of second potential navigational actions, one of the plurality of first potential navigational actions; and cause an adjustment of a navigational actuator of the host vehicle to implement the selected one of the plurality of first potential navigational actions.

Abstract: A state of power (SOP) estimation system for an electrified vehicle includes a battery system of the electrified vehicle and a control system configured to access a trained battery voltage estimation model configured to estimate a voltage of the battery system based on a set of input parameters including at least state of charge (SOC), temperature, and power or current, perform a search process to determine a final estimated SOP that causes the estimated voltage of the battery system to fall within a desired voltage range, and control the electrified vehicle based on the final estimated SOP of the battery system.

Abstract: An electric vehicle charging control device includes an electronic dynamic charging schedule generator, a non-transitory computer readable medium and an electronic communicator. The charging schedule generator has an electronic controller configured to determine when an electric vehicle user accesses a charging port provided at a building structure powered by an electric source. The non-transitory computer readable medium stores vehicle profile data for the electric vehicle. The electronic communicator is configured to receive profile updates to the vehicle profile data from an electronic user interface. The electronic controller is programmed to generate a charging schedule based on the vehicle profile data. The charging schedule has a charge period in which the electric vehicle is receiving charge from the building structure and a discharge period in which the electric vehicle is providing charge to the building structure.

Abstract: A work system is a system for automatically operating a work machine including a work device. The work system includes a controller that controls an operation of the work machine so that a leveling work is performed, the leveling work including a leveling operation in which a work target object that has been loaded into a container by a loading work is leveled using the work device. The controller acquires information regarding at least one of the work target object in the container, the container, the work machine, and the loading work, and determines at least one of a start position of the leveling operation and an end position of the leveling operation by using the information.

Abstract: An electronic control unit diagnoses the electronic control unit via wired connection or wireless from an outside of a vehicle and rewrites the electronic control unit via the wire or the wireless from the outside of the vehicle, based on a program acquired from the outside of the vehicle via the wire or the wireless.

Abstract: An example of the present disclosure relates to A vehicle video recording device, including an event determination unit configured to detect at least one event between an external impact of a vehicle and a motion of an external object, a video recording unit configured to record an event video in response to the event being detected, and a cooperative control determination unit configured to output a lamp control signal based on illuminance information in response to the event video being recorded.

Abstract: The present invention relates to a multi-vehicle spatially balanced coverage system. The system includes a first mobile vehicle including a first sensor unit configured to sense a first environmental information; a second mobile vehicle including a second sensor unit configured to sense a second environmental information; and a computing unit configured to receive the first environmental information and the second environmental information, input them into a balanced load function, and accordingly compute a first forward point of interest and a second forward point of interest, to command in real-time the first mobile vehicle to move from a first initial point of interest to the first forward point of interest and the second mobile vehicle to move from a second initial point of interest to the second forward point of interest.

Abstract: Disclosed here are an aircraft, a system, and methods of processing video content displayed onboard an aircraft during flight. A disclosed embodiment of the method obtains position data corresponding to current geographical position of the aircraft, attitude data corresponding to current attitude of the aircraft, and video data for a live video feed corresponding to a view of an environment external to the aircraft. The received video data is processed into augmented video output data, based on the position data, the attitude data, and geospatial data related to at least some geographical features in the view of the environment. Augmented video content is presented on a display device onboard the aircraft, wherein the augmented video content corresponds to the augmented video output data.

Abstract: An acceleration/deceleration controller for controlling acceleration/deceleration of a vehicle by a one-pedal, includes: a processor to, in a case of vehicle's deceleration, change acceleration-off deceleration to be weaker than an initial value as a frequency of re-stepping operation, in which an acceleration-on operation is conducted immediately after a human recognizable time after an acceleration-off operation, increases, and change the acceleration-off deceleration to be greater than the initial value as the frequency of the re-stepping operation decreases.

Abstract: Some embodiments of the present disclosure relate to an autonomous mobile machine, a controller, and a point cloud matching state confirmation method for an autonomous mobile machine. The autonomous mobile machine includes a controller, and the controller is configured to execute a program instruction to implement the following operations: obtaining an original point cloud and a target point cloud; registering the original point cloud and the target point cloud to obtain a Hessian matrix and a transformation matrix between the original point cloud and the target point cloud; calculating a matching error between the original point cloud and the target point cloud according to the Hessian matrix and the transformation matrix; and determining a matching state between the original point cloud and the target point cloud based on a comparison between the matching error and a first threshold range.

Abstract: A control system for a tiltable vehicle may include a motor controller configured to respond to backward or reverse operation of the vehicle by hindering a responsiveness of the control system (e.g., proportionally) and/or eventually disengaging a drive motor of the vehicle. Accordingly, a user may intuitively and safely dismount the vehicle by selectively commanding reverse operation. In some examples, the backward direction may be user-defined.

Abstract: A system (for determining one or more emergency escape paths for one or more emergencies that can occur during a flight of an aircraft) includes a control unit configured to automatically determine the one or more emergency escape paths for the one or more emergencies based on performance capabilities of the aircraft, terrain within at least a portion of an original flight path or the one or more emergency escape paths, and obstacles within at least a portion of the original flight path or the one or more emergency escape paths.

Abstract: Systems and methods are disclosed herein for monitoring a location of a client device associated with a transportation service and generating augmented reality images for display on the client device. The systems and methods use sensor data from the client device and a device localization process to monitor the location of the client device by comparing renderings of images captured by the client device to renderings of the vicinity of the pickup location. The systems and methods determine navigation instructions from the user's current location to the pickup location and select one or more augmented reality elements associated with the navigation instructions and/or landmarks along the route to the pickup location. The systems and methods instruct the client device to overlay the selected augmented reality elements on a video feed of the client device.

Abstract: An embodiment vehicle side-by-side doors opening and closing system includes a pair of side-by-side doors having a first door and a second door configured to open outwardly from a vehicle toward a boarding and alighting structure and a controller configured to assign the first door and the second door to an initially operative door and a subsequently operative door and to control a first door motor of the first door and a second door motor of the second door to perform opening operations of the initially operative door and the subsequently operative door with a time delay in the opening operation of the subsequently operative door following the opening operation of the initially operative door.

Abstract: An agricultural machine includes a vehicle body, a sensor to sense an environment around the vehicle body to output sensing data, and a communication device to transmit the sensing data output from the sensor to a remote device. The sensor changes a data amount of the sensing data output to the communication device, depending on a communication rate from the communication device to the remote device.

Abstract: A high-level motion controller provides a lower-level thrust allocation with generalized forces demanded on the ship for the current instant of time as well as a prediction of future generalized forces { ? ˆ D } t = 0 T demanded over a predicted future time, and optionally one or more other reference predictions, such as a time-varying velocity and position of the ship { ? ^ D , v ^ D } t = 0 T . When predictions of the future desired forces and torque are made available to the lower-level thrust allocation, the lower-level thrust allocation will be aware of what is needed in the future and use the predictions to make efficient changes towards the desired future references, when it generates control signals to thrusters available in the thruster system to distribute the desired generalized forces into individual forces of the individual thrusters.

Abstract: An example method involves detecting a sensor-testing trigger. Detecting the sensor-testing trigger may comprise determining that a vehicle is within a threshold distance to a target in an environment of the vehicle. The method also involves obtaining sensor data collected by a sensor of the vehicle after the detection of the sensor-testing trigger. The sensor data is indicative of a scan of a region of the environment that includes the target. The method also involves comparing the sensor data with previously-collected sensor data indicating detection of the target by one or more sensors during one or more previous scans of the environment. The method also involves generating performance metrics related to the sensor of the vehicle based on the comparison.