Abstract: A system and method of organizing, managing, and controlling one or more construction vehicles (automated and/or semiautomated) to perform one or more construction tasks within a construction site is provided. The system includes a software platform programmed to control the one or more unmanned construction vehicles via a transmitter and a navigation system. The locations, routes, and general functionalities of the construction vehicles are automatically controlled.

Abstract: A multi-sensor spatial data auto-synchronization system and method is provided. The method may include collecting laser point cloud data through a laser radar and pre-processing the laser point cloud data; collecting image point cloud data through a monocular camera and collecting intrinsic parameters of the camera by using a calibration board; performing plane fitting on the pre-processed laser point cloud data to determine coordinates of fitted laser point cloud data; performing image feature extraction on the image point cloud data; calculating pose transformation matrices for the laser point cloud data coordinates and an image feature data result by using a PNP algorithm; and optimizing a rotation vector and a translation vector in the pose transformation matrix. The present invention achieves automatic calculation of a spatial synchronization relationship between two sensors, and greatly improves the data synchronization precision of the laser radar and the monocular camera.

Abstract: A method includes generating a construction path for the autonomous construction vehicle and at least one other vehicle. The method also includes identifying at least one possible collision zone in the construction path. The method also includes, in response to identifying the at least one possible collision zone: dividing the construction path into one or more sections; determining all possible collision combinations; and identifying one or more collision zones based on the possible collision combinations. The method also includes selectively controlling, using data from one or more sensors associated with one or more of the autonomous construction vehicle and the at least one other vehicle associated with the construction site, at least the autonomous construction vehicle based on the possible collision zones.