Embodiments of the present disclosure relate to a three-dimensional reconstruction method and apparatus for a material pile, an electronic device, and a computer-readable medium. The method may include: acquiring, in response to an instruction for controlling an excavator body of an excavator to rotate to transport materials being detected, a sequence of depth images of an excavated material pile collected by a binocular camera provided on a side of the excavator; and performing three-dimensional reconstruction based on the sequence of depth images of the material pile, to generate a three-dimensional model of the material pile.

The present disclosure relates generally to techniques for the kinematic estimation and dynamic behavior estimation of autonomous heavy equipment or vehicles to improve navigation, digging and material carrying tasks at various industrial work sites. Particularly, aspects of the present disclosure are directed to obtaining a set of sensor data providing a representation of operation of an autonomous vehicle in a worksite environment, estimating, by a trained model comprising a Gaussian process, a set of output data based on the set of sensor data, controlling an operation of the autonomous vehicle in the worksite environment using input data derived from the set of sensor data and the set of output data, obtaining actual output data from the operation of the autonomous vehicle in the worksite environment, and updating the trained model with the input data and the actual output data.

Provided is a work machine and the like that can reduce the possibility of contact with an unmanned aircraft flying around. The degree of possibility of contact between a working mechanism (140) and an unmanned aircraft (40) is recognized on the basis of the relative position of the unmanned aircraft (40) with reference to the working mechanism (140). If it is recognized that the contact possibility is high, then the operation mode of at least one of a lower traveling body (110), an upper pivoting body (120), and the working mechanism (140) is controlled so as to reduce the contact possibility.

A system and method are provided for determining mistrack conditions in work vehicles such as excavators having first and second tracks. A controller uses data from onboard sensors (e.g., cameras, lidar) having an external field of view to detect a first position of, e.g., a track of the work vehicle relative to a first external point in a local reference system independent of a global reference system and to detect, upon the work vehicle having advanced from the detected first position a predetermined distance, a second position of the at least first component of the work vehicle relative to a second external point in the local reference system. The controller further determines an amount of mistrack error corresponding to a difference between the detected second position and an expected second position, and generates an output signal based on the determined amount of mistrack error.

Vehicles and methods of operating vehicles are disclosed herein. A vehicle includes a main frame, a work implement, and a control system. The work implement is supported by the main frame and configured to carry a payload in use of the vehicle. The control system is supported by the main frame and configured to control operation of the vehicle. The control system includes a payload measurement system configured to provide payload input indicative of a variable payload carried by the work implement in use of the vehicle and a controller coupled to the payload measurement system.

A method for changing an orientation of a machine at a worksite includes controlling, by a controller, a movement of the machine from a first position to a second position along a first route; controlling, by the controller, a movement of the machine from the second position to a third position along a second route; and controlling, by the controller, a movement of the machine from the third position towards the first position along a third route, Each of the first route, the second route, and the third route define respective apexes and combinedly define a region therebetween. One or more of the apexes are directed inwards into the region.

A work assist device includes a body coordinates information acquiring unit, a body orientation information acquiring unit, a work member position information acquiring unit, a specific part coordinates computing unit, a placement information receiving unit, a distance information input unit, a construction surface computing unit, a storage unit, and a construction information output unit. The specific part coordinates computing unit can compute absolute coordinates of a specific part of a work member, from acquired information from each acquiring unit. The construction surface computing unit determines an equation for a construction surface in an absolute coordinate system at a work site, from absolute coordinates of three ground reference points at which the specific part is placed in order and three pieces of distance information indicating a distance from the ground reference points to the construction surface.

When a machine-control ON/OFF switch is switched to the ON position, a controller outputs either a first control signal generated by an operation lever or a second control signal that operates a boom cylinder in accordance with a predetermined condition; when the ON/OFF switch is switched to the OFF position, the controller outputs the first control signal; when a control signal has been switched from one of the first control signal and the second control signal to the other control signal by the operation of the ON/OFF switch, the controller applies a rate limit to the control signal, and controls the boom cylinder on the basis of the control signal obtained after the limitation.

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.

When an EMV performs an action comprising moving a tool of the EMV through soil or other material, the EMV can measure a current speed of the tool through the material and a current kinematic pressure exerted on the tool by the material. Using the measured current speed and kinematic pressure, the EMV system can use a machine learned model to determine one or more soil parameters of the material. The EMV can then make decisions based on the soil parameters, such as by selecting a tool speed for the EMV based on the determined soil parameters.