Abstract:
A 3D construction system for creating an object includes, among other components, an online 3D blueprint model for the object and a 3D print head. An online control plan for controlling operation of the 3D print head to create the object according to the online 3D blueprint model is also provided. At least one 3D perception sensor scans a constructed portion of the object to generate sensor readings. A processing device, which is part of a computer system, creates an online 3D replica model of the constructed portion of the object using the sensor readings, and compares the online 3D replica model to the online 3D blueprint model or an ideal printed 3D model to identify a difference. The online control plan is modified responsive to the difference.
Abstract:
A system and method for estimating position of a machine is disclosed. The method may include receiving, from a perception sensor, scene data describing an environment in a vicinity of the machine and estimating a first position of the machine based on the scene data. The method may include determining whether a first signal indicative of a location of the machine is received by the machine and estimating a second position of the machine when it is determined that the first signal is received. The method may include comparing the second position with the first position and estimating a third position of the machine using at least one of the first position and the second position.
Abstract:
A motion determination system is disclosed. The system may receive a first and a second camera image from a camera, the first camera image received earlier than the second camera image. The system may identify corresponding features in the first and second camera images. The system may receive range data comprising at least one of a first and a second range data from a range detection unit, corresponding to the first and second camera images, respectively. The system may determine first positions and the second positions of the corresponding features using the first camera image and the second camera image. The first positions or the second positions may be determined by also using the range data. The system may determine a change in position of the machine based on differences between the first and second positions, and a VO-based velocity of the machine based on the determined change in position.
Abstract:
A system for determining the position of a mobile machine is disclosed. The system may include a first sensor configured to generate a first signal indicative of a pose of the mobile machine, a second sensor configured to generate a second signal indicative of a parameter of the mobile machine, and a controller in communication with the first and second sensors. The controller may be configured to generate a measured pose of the mobile machine based on the first signal, to generate an estimated pose of the mobile machine based on the second signal, and to determine uncertainty values associated with each of the measured and estimated poses. The controller may be further configured to determine overlap of the uncertainty values, to selectively adjust the measured pose based on the overlap, and to determine a pose solution based on the estimated pose and adjustment of the measured pose.
Abstract:
A system and method of estimation motion of a machine is disclosed. The method may include determining a first point cloud and a second point cloud corresponding to an environment in a vicinity of the machine. The method may further include generating a first extended gaussian image (EGI) for the first point cloud and a second EGI for the second point cloud. The method may further include determining a first EGI segment based on the first EGI and a second EGI segment based on the second EGI. The method may further include determining a first two dimensional distribution for points in the first EGI segment and a second two dimensional distribution for points in the second EGI segment. The method may further include estimating motion of the machine based on the first and second two dimensional distributions.
Abstract:
A motion estimation system is disclosed. The motion estimation system may include one or more memories storing instructions, and one or more processors configured to execute the instructions to receive, from a scanning device, scan data representing at least one object obtained by a scan over at least one of the plurality of sub-scanning regions, and generate, from the scan data, a sub-pointcloud for one of the sub-scanning regions. The sub-pointcloud includes a plurality of surface points of the at least one object in the sub-scanning region. The one or more processors may be further configured to execute the instructions to estimate the motion of the machine relative to the at least one object by comparing the sub-pointcloud with a reference sub-pointcloud.