Abstract: A method for generating a mixed reality image related to a driving environment is performed by one or more processors, and includes acquiring a real image related to the driving environment, generating a first virtual image including an object of the driving environment, and generating a mixed reality image including the object of the driving environment based on the real image and the first virtual image.

Abstract: Disclosed are a three-dimensional (3D) simulation method and a 3D simulation apparatus. The 3D simulation method disclosed herein includes a step (S20) of separating point cloud data including a road, an obstacle, and a cargo transportation route into road data and obstacle data, a step (S40) of converting the road data into road mesh data, and converting the obstacle data into obstacle mesh data, a step (S60) of constructing a virtual environment by merging the road mesh data with the obstacle mesh data, a step (S80) of loading a specific cargo transportation route to the virtual environment, a step (S100) of loading a 3D transport truck and a 3D cargo to a predetermined point of the cargo transportation route, and a step (S120) of performing a route survey simulation while virtually driving the 3D transport truck and the 3D cargo along the cargo transportation route.

Abstract: A method for generating a mixed reality image related to a driving environment is performed by one or more processors, and includes acquiring a real image related to the driving environment, generating a first virtual image including an object of the driving environment, and generating a mixed reality image including the object of the driving environment based on the real image and the first virtual image.

Abstract: The present disclosure provides a method for generating road topology information performed by at least one processor. With respect to coordinate data of a road, boundary conditions between segments including topology information may be calculated to make the connection between segments flexible, and a midpoint of a curve of a segment may be detected to directly calculate control points of a Bézier curve, thereby generating a parametric Bézier curve. Accordingly, more precise road map may be generated even when the coordinate data of the segment of the road includes an error.