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.

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.

A retrofit kit for a power machine can include a detection module configured to be removably secured to the power machine to detect objects around the power machine. A control module can be configured to receive detected object data from the detection module and control the display module based on the detected object data to provide one or more indicators of an object detected by the detection module.

A surroundings monitoring system for a work machine includes a memory and a processor coupled to the memory. The processor is configured to detect an obstacle present around the work machine and control an output apparatus mounted on the work machine. The processor is configured to display an output image on a display apparatus. The output image includes an image part generated using a captured image of an image capturing apparatus attached to the work machine and an icon of the work machine. The processor is configured to highlight, among image parts around the icon, an image part corresponding to a direction in which or a position at which the detected obstacle is present.

Embodiments of the present disclosure relate generally to generating and utilizing three-dimensional terrain maps for vehicular control. Other embodiments may be described and/or claimed.

The hydraulic excavator includes a vehicle body, a work implement , a display section, a detection section , and a display control section. The vehicle body includes a driver’s seat . The work implement is attached to the vehicle body and operates with respect to the vehicle body. The display section is provided on the work implement. The detection section detects an object in a region on a side opposite to the driver’s seat with respect to the work implement around the vehicle body. The display control section displays the information detected by the detection section on the display section.

An information communications system for a construction machine includes a hardware processor. The hardware process is configured to receive construction information from a contractor-side device and receive weather information from a weather server. The hardware processor is configured to generate advisory information based on the received construction information and the received weather information.

The present invention relates to a remote control device for a crane, a construction machine and/or an industrial truck, comprising a mobile end device in the form of a tablet computer that has a screen having a touch-screen function and at least one input means for inputting control commands in the form of a touch-screen display means, as well as a signal transmission device for transmitting the input control commands to the control apparatus of the crane, of the construction machine and/or of the industrial truck. It is proposed to use the screen of the tablet computer not only to input and display control commands, but also to present actual images and/or desired images of the working environment of the machine so that, on an inputting of control commands via the touchscreen function of the screen, the machine operator can simultaneously monitor the working environment there.

A monitor controller configured to control a display content on a display unit is configured to keep displaying a bird's-eye-view image when an operation of an operation device is sensed in the state where the display unit displays the bird's-eye-view image, and to cause the display unit to display the bird's-eye-view image when the operation of the operation device is sensed in the state where the display unit does not display the bird's-eye-view image.

A system includes a processor and a display. The processor acquires shape data indicative of a shape of the surroundings in a traveling direction of a work machine. The processor generates a guide line. The guide line is disposed spaced from the work machine. The guide line indicates the shape of the surroundings in the traveling direction of the work machine. The processor synthesizes a surrounding image and the guide line and generates an image including the surroundings image and the guide line. The display displays the image including the surroundings image and the guide line based on a signal from the processor. The system may further include the work machine, a camera that captures the surrounding image, and a sensor that measures the shape of surroundings.