Abstract: Techniques are described for calibrating a coordinate frame of a remote sensing sensor of a perception system of a machine with respect to a coordinate frame of the machine. An application of a mobile device, such as a smartphone, a tablet computing device, or a laptop, or a web service detects a visual fiducial tag and a feature of the machine in an image by using an optical sensor of a digital camera system. The fiducial tag detection provides the coordinate transformation between the mobile device and a housing of the remote sensing sensor, e.g., radar sensor, lidar sensor, sonar sensor, or camera. Detecting a feature of the machine, e.g., a traction component such as a wheel or track, a brake light, a headlight, a turn signal, or a logo, provided constraints for the transformation between the device and machine.

Abstract: Techniques are described for calibrating a coordinate frame of a remote sensing sensor of a perception system of a machine with respect to a coordinate frame of the machine. An application of a mobile device, such as a smartphone, a tablet computing device, or a laptop, or a web service detects a visual fiducial tag and a feature of the machine in an image by using an optical sensor of a digital camera system. The fiducial tag detection provides the coordinate transformation between the mobile device and a housing of the remote sensing sensor, e.g., radar sensor, lidar sensor, sonar sensor, or camera. Detecting a feature of the machine, e.g., a traction component such as a wheel or track, a brake light, a headlight, a turn signal, or a logo, provided constraints for the transformation between the device and machine.

Abstract: A method for collision threat filtering is disclosed. The method may include determining trajectory information associated with a plurality of machines. The method may include identifying, based on the trajectory information, one or more potential collisions among the plurality of machines, the one or more potential collisions including a potential collision between a first machine, of the plurality of machines, and a second machine of the plurality of machines. The method may include determining whether to filter the potential collision between the first machine and the second machine. Whether the potential collision is filtered may be determined based on a set of filtering parameters and machine information associated with at least one of the first machine or the second machine. The method may include selectively performing a collision prevention action, associated with the potential collision, based on whether the potential collision is to be filtered.

Abstract: A method for collision threat filtering is disclosed. The method may include determining trajectory information associated with a plurality of machines. The method may include identifying, based on the trajectory information, one or more potential collisions among the plurality of machines, the one or more potential collisions including a potential collision between a first machine, of the plurality of machines, and a second machine of the plurality of machines. The method may include determining whether to filter the potential collision between the first machine and the second machine. Whether the potential collision is filtered may be determined based on a set of filtering parameters and machine information associated with at least one of the first machine or the second machine. The method may include selectively performing a collision prevention action, associated with the potential collision, based on whether the potential collision is to be filtered.

Abstract: A control system for a machine includes multiple sensors coupled to multiple parts on the machine. The multiple sensors generate data indicative of motion of the multiple parts of the machine. The control system includes a controller in communication with the multiple sensors. The controller receives the data indicative of motion of the multiple parts of the machine from the multiple sensors. The controller determines a segment of the work cycle being currently performed by the machine based on the data received by the multiple sensors, and multiple membership functions. The controller generates productivity data of the machine based on the determined segment of the work cycle. Furthermore, the controller displays the productivity data of the machine on a display system.