Caterpillar Inc.

Bradley Scott Kriel

Kenneth Lee Stratton

Adam J Gudat

Hong Chang

Daniel Dale Morris

Lawrence Andrew Mianzo

Michael Sean McDaniel

A method of classifying a work machine within a worksite is provided. The method may include receiving one or more captured images of the work machine from one or more image capture devices, identifying at least two classifiers within the captured images of the work machine, determining spatial relationships between the classifiers within the captured images, determining a classification and a pose of the work machine based on the spatial relationships, and displaying analytics based on the classification and the pose of the work machine.

Vehicle classification and vehicle pose estimation

An image processing system has a plurality of cameras and a display that are mounted on a machine. The plurality of cameras are configured to generate image data for an environment of the machine. The image processing system also has a processor connected to the plurality of cameras and the display. The processor is configured to access the image data from the plurality of cameras, access parameters associated with the plurality of cameras, generate a unified image by combining the image data from the plurality of cameras based at least in part on the parameters, access state data associated with the machine, select a portion of the unified image based at least in part on the state data, and render the portion of the unified image on the display.

Image processing system using unified images

A personnel classification and response system, and related method and computer program product are disclosed. The system may comprise an image capture member and a controller connected to the image capture member. Some embodiments may also comprise a ranging apparatus. The ranging apparatus may be configured to provide a distance from a person to a vehicle. The image capture member may be configured to provide an image of the vicinity of the vehicle, the image including the person. The controller may be configured to identify in the image a marker and to activate a warning apparatus based on the marker and a zone in which the marker is disposed.

Personnel classification and response system

A object recognition system has a camera configured to generate image data of an environment of a machine and a radar device configured to generate radar data of the environment of the machine. The object recognition system also has a processor configured to detect an object in the environment based on the radar data, map the radar data to a portion of the image data corresponding to the detected object, and classify the detected object using the mapped portion of the image data.

Object recognition system having radar and camera input

A system for determining a coverage region of a radar device is disclosed. The system may have one or more processors and a memory. The memory may store instructions that, when executed, enable the one or more processors to receive radar data generated by a radar device and lidar data generated by a lidar device. The radar data may include radar data points representing objects detected by the radar device and the lidar data may include lidar data points representing objects detected by the lidar device. The one or more processors may be further enabled to determine a radar coverage region for the radar device by comparing one or more radar data points to one or more lidar data points, and to generate data used to display a graphical representation of the radar coverage region.

Systems and methods for determining a radar device coverage region

An automated lost load response system for work machines is disclosed. The response system has a container supported by the machine to retain material. It also has a sensor situated to detect material lost from the container. The sensor generates a signal corresponding to detection of material lost. Additionally, the response system has a controller that is in communication with the sensor. The controller is configured to provide a load loss warning based on the signal generated by the sensor.

Automated lost load response system

An automated lost load response system for work machines is disclosed. The response system has a first sensor situated to detect the contour of the road surface forward of a first machine, and a second sensor situated to detect the contour of the road surface rearward of the first machine. Each of the first and second sensors generates a signal corresponding to its detection of the contour of the road surface. The response system also has a controller that is in communication with both sensors. The controller is configured to provide a load loss warning based on the signals.

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Pittsburgh, PA, United States of America

Bradley Scott Kriel