Abstract: A visibility grid is determined for at least one external object within an operational environment of an autonomous vehicle. The visibility grid represents areas visible and areas obstructed for the external object. When the autonomous vehicle is positioned within an occluded region relative to the visibility grid of the external object is identified. Driving parameters of the autonomous vehicle are altered in response to being in the occluded region to avoid collision with the external object.

Abstract: A transport apparatus and method for a cleaning robot of a photovoltaic module. The photovoltaic module comprises a plurality of solar panels and a support part (102a). The transport apparatus comprises: a mobile unit (101), an adjustment unit (102), and a loading platform (103). The mobile unit (101) is configured to move according to a first moving trajectory, and carry and automatically transport the adjustment unit (102), the loading platform (103), and a cleaning robot to a parking position corresponding to the photovoltaic module. The adjustment unit (102) is mounted above the mobile unit (101), and is configured to adjust the height and inclination angle of the loading platform (103) at the parking position to align the loading platform (103) with the photovoltaic module. The loading platform (103) is arranged above the adjustment unit (102), and is configured to carry the cleaning robot.

Abstract: A vehicle control device that controls traveling of a vehicle at a roundabout in which a plurality of connected roads is connected to a circular road, acquires a traveling route of the vehicle including an exit road that is a connected road to which the vehicle is to exit from the circular road, acquires speed limits of the circular road and the exit road, calculates a target vehicle speed when the vehicle exits to the exit road from the circular road based on the speed limits, calculates an acceleration necessary period or an acceleration necessary distance necessary for accelerating the vehicle to the target vehicle speed based on current vehicle speed of the vehicle traveling on the circular road and the target vehicle speed, and starts acceleration control of accelerating the vehicle at predetermined acceleration when the calculated acceleration necessary period or acceleration necessary distance satisfies a predetermined start condition.

Abstract: In an embodiment a system includes: an automated vehicle configured to traverse a first predetermined path; and a sensor system located on the automated vehicle, the sensor system configured to detect a vertical obstacle along the first predetermined path along one or two floorboards ahead of the automated vehicle, wherein the automated vehicle is configured to traverse a second predetermined path in response to detecting the vertical obstacle.

Abstract: A trailer diagnostic and monitoring system includes a system controller having a controller body, and a power unit for engage a wiring harness of the trailer. A location identification unit and wireless communication device are positioned within the controller body, and a plurality of hub sensor assemblies are positioned along the axle hubs of the trailer. Each of the assemblies including functionality for monitoring and reporting the temperature of a respective axle hub, and the pressure of the trailer tire secured to the respective axle hub. A process specific serial forwarder device communicatively links each of the hub sensor assemblies to the system controller. A trailer diagnostic and monitoring application for execution on a remote computing device includes functionality for communicating with the wireless communication device to receive trailer location information, tire pressure readings and axle hub temperatures.

Abstract: A vehicle remote operation apparatus comprises: a location acquisition unit which acquires location information indicating a location of a vehicle; a remote operation unit which, in response to a remote operation request from a user terminal associated with the vehicle, causes the vehicle to perform an operation requested by the remote operation request; and a transmission unit which, when the location acquisition unit acquires a location information of a first vehicle, transmits, to a user terminal associated with the first vehicle, information related to an operation of a second vehicle that has been performed in response to a remote operation request from a user terminal associated with the second vehicle in a predetermined range including a location of the first vehicle.

Abstract: A control device includes a signal input unit configured to input a signal from a first signal line connected to a first switch configured to detect press and release of a momentary operation push button for setting and releasing lock of an operation of work equipment and input a signal from a second signal line connected to a second switch linked to the first switch, and a work equipment lock control unit configured to alternately switch between setting and releasing the lock of the operation of the work equipment in a case where information indicating that the push button is OFF?ON?OFF is obtained from both of the first signal line and the second signal line, and release the lock of the operation of the work equipment only when a predetermined operation is performed on a predetermined operation device of the work equipment.

Abstract: Embodiments of the present disclosure provide a service vehicle. In some embodiments, the service vehicle comprises a platform configured to service a container handling vehicle while the service vehicle is on a grid-based rail system of a storage grid of an automated storage system for storing storage containers, and one or more wheel modules, each wheel module configured to move the service vehicle along the grid-based rail system, wherein the platform is mounted on the one or more wheel modules and comprises an enclosure having at least one opening.

Abstract: Methods and apparatus for subterranean guidance are disclosed. A disclosed apparatus to guide a vehicle includes interface circuitry communicatively coupled to a ground penetrating sensor supported by the vehicle, machine-readable instructions, and at least one processor circuit to be programmed by the machine-readable instructions to calculate, based on output from the ground penetrating sensor, a position of the vehicle relative to a subterranean marker, and guide movement of the vehicle at least partially based on the position of the vehicle relative to the subterranean marker.

Abstract: Autonomous return to dock and docking procedures includes a dock and an unmanned aerial vehicle (UAV). The dock includes a first fiducial and second fiducial. The UAV includes a camera, one or more processors, and one or more memories. The one or more processors configured to execute instructions stored in the one or more memories to determine to use the dock for a landing operation by processing a first image depicting the first fiducial, to determine a UAV placement for the landing operation at the dock by processing a second image depicting the second fiducial, and to perform the landing operation to land the UAV at the dock according to the UAV placement.

Abstract: The present application relates to a control method of an aerial vehicle. The aerial vehicle may comprise a propulsion structure for providing flight power and a spraying apparatus for spraying a material. The control method may comprise determining current target information of the aerial vehicle during a process of the aerial vehicle performing a spraying task, wherein the current target information indicates wind field strength of a downward pressure wind field generated by the propulsion structure; determining, based on the current target information, a desired relative flight altitude of the aerial vehicle corresponding to the current target information relative to the material being sprayed below the aerial vehicle; and controlling the aerial vehicle to fly toward the desired relative flight altitude.

Abstract: A system and method for a digital co-pilot are provided. The method includes receiving a plurality of inputs from a vehicle operating systems, wherein the plurality of inputs comprise engine parameters, control system parameters, or electrical system parameters, identifying one or more first trends in the plurality of inputs, diagnosing one or more first potential conditions based on the first trends, determining a first course of action based on diagnosing the one or more potential conditions, and generating one or more first commands to vehicle controls based on determining the first course of action.

Abstract: Grids representing predictions of wind vectors (or velocities) over a ground region are obtained from a model and downscaled to a greater level of resolution based on surface roughness metrics of the ground region. Observations of wind vectors over the ground region are determined from ground-based or airborne systems and assimilated into the grids. Subsequently, grids representing the assimilated wind vectors at an initial time, and the predictions of wind vectors at future times, are provided as inputs to a machine learning model, such as a gradient-boosted decision trees algorithm, along with the surface roughness metrics and other relevant features. A continuous representation of predicted wind vectors over the ground region generated based on outputs received from the model is utilized to make operational decisions regarding an aerial vehicle.

Abstract: Provided is a control method for an automated guided system including a step of providing an automated guided vehicle including a sensor and a watchdog timer, a controller, and an alarm, an initializing step of initializing a count value, a first checking step of checking an abnormal state of the sensor, a count increasing step of increasing the count value, and a step of performing a recovery operation, the step of performing the recovery operation includes a second checking step of rechecking the abnormal state, a step of turning on the alarm; a third checking step of rechecking the abnormal state, and a step of turning off the alarm.

Abstract: The present invention relates to a safety compliance, identification, and security monitoring system that includes a monitoring device operable to capture images/videos of a predefined area and persons and events within the area. The monitoring device is further operable to determine whether persons within the area are wearing required personal protective equipment. In one embodiment, the monitoring device initiates an alert a safety equipment infraction. In one embodiment, the system is operable to further record an incident report identifying the nature, date, and location of the infraction, as well as the identity of the person committing the infraction. In one embodiment, the system is operable to monitor various external conditions, such as heat, humidity, smoke, and initiate an alert of the external condition detected. In one embodiment, the system detects quality assurance/quality control issues, including situations involving inspecting equipment, tools, and/or materials for non-conformance.

Abstract: A control operation representer of a simulation system for a vehicle represents control operation of a travel controller in accordance with vehicle external detection information outputted by a vehicle external detection controller based on a captured vehicle external image. A vehicle behavior calculator calculates behavior of the vehicle in accordance with the control operation. A vehicle external image generator generates a vehicle external image in accordance with the behavior and displays the vehicle external image on a display member. An imaging member captures the vehicle external image displayed, and outputs a captured vehicle external image to the vehicle external detection controller. The vehicle external detection controller operates in a closed loop including these.

Abstract: A procedure for docking an aerial vehicle at a docking station includes multiple phases. In a first phase, the aerial vehicle begins a descent at a position over a prior position of the docking station, and monitors a pose using navigation sensors and images captured from below the aerial vehicle. The docking station includes visual markings in a pattern. The aerial vehicle detects the markings within the images, and determines poses based on the pattern. When the poses converge, the docking evolution proceeds to a second phase, during which the aerial vehicle determines poses using images and inertial sensors. When the aerial vehicle reaches an altitude below which the markings do not appear within the field of view of the camera, the docking evolution proceeds to a third phase, during which the aerial vehicle determines poses using images, inertial sensors and range data, until the aerial vehicle is docked.

Abstract: Systems and methods for providing autonomous vehicle assistance are disclosed. In one embodiment, a method is disclosed comprising detecting a service condition in response to a fault occurring at an autonomous vehicle at a first location; coordinating service with a nearby service provider, the service provider providing a time window and a second location; predicting that the autonomous vehicle will be free to fulfill the service; driving the autonomous vehicle to the second location of the service provider during the time window; and returning the autonomous vehicle to the first location after the service is completed.

Abstract: A vegetation monitoring device with at least one camera unit (28) for monitoring vegetation health in a garden (10), wherein the at least one camera unit (28) is configured to detect the garden area (30, 32, 34) in at least a first range of the electromagnetic spectrum, in particular in the visible light range, and in at least a second region of the electromagnetic spectrum, in particular in the infrared range, in order to determine at least one vegetation index of at least one garden area (30, 32, 34) of the garden (10), in particular in the region of visible light, and in at least one second region of the electromagnetic spectrum, in particular in the infrared range, wherein the camera unit (28) is provided for an arrangement at least substantially above ground level of the garden (10) and for an at least substantially stationary arrangement outside or in the vicinity of the garden (10), and a vegetation monitoring system is proposed.

Abstract: A construction machine includes a travel actuator, an attachment actuator, a storage, an information obtaining device, and a hardware processor configured to perform braking control of at least one of the travel actuator and the attachment actuator in response to determining that a dangerous situation is going to occur based on information obtained by the information obtaining device and information stored in a database in the storage.