Abstract: A system and method for modeling an enclosed space involves measuring ranges and angles between a static vantage point and points on surfaces enclosing the space using a single point time of flight distance measuring device. A computer coupled to the distance measuring device generate virtual surfaces and calculates where the virtual surfaces intersect to generate a geometry for a 3D model representing the surfaces enclosing the space.

Abstract: A floor surveying comprises a self-contained mobile unit that performs simultaneous localization and mapping (SLAM) using wheel odometry data and data from a range finding laser device (RFLD), a digital camera, or both. Point cloud data for mapping is collected using a RFLD positioned near the floor and scanning in a plane perpendicular to the floor. 3D point cloud data representing the floor surface and surfaces in apposition to the floor are displayed and used to generate a floor map or floor plan.

Abstract: A system and method for modeling an enclosed space involves measuring ranges and angles between a static vantage point and points on surfaces enclosing the space using a single point time of flight distance measuring device. A computer coupled to the distance measuring device generate virtual surfaces and calculates where the virtual surfaces intersect to generate a geometry for a 3D model representing the surfaces enclosing the space.

Abstract: A system having a range-finding laser device (RFLD) is configured to be coupled to an operator performs scans producing range and angle data points on surrounding structures. An attitude inertial measuring unit (IMU) attached to the RFLD measures pitch and roll of the RFLD and at least one zero-velocity update (zupt) IMU coupled to the operator is used to estimate the position, velocity and yaw of the operator. The system has computer logic that transforms data points from sensor frames of reference to a global frame of reference and merges transformed data points in a point cloud that can be used to generate images of scanned environments on a display.

Abstract: A floor surveying comprises a self-contained mobile unit that performs simultaneous localization and mapping (SLAM) using wheel odometry data and data from a range finding laser device (RFLD), a digital camera, or both. Point cloud data for mapping is collected using a RFLD positioned near the floor and scanning in a plane perpendicular to the floor. 3D point cloud data representing the floor surface and surfaces in apposition to the floor are displayed and used to generate a floor map or floor plan.

Abstract: A system having a range-finding laser device (RFLD) is configured to be coupled to an operator performs scans producing range and angle data points on surrounding structures. An attitude inertial measuring unit (IMU) attached to the RFLD measures pitch and roll of the RFLD and at least one zero-velocity update (zupt) IMU coupled to the operator is used to estimate the position, velocity and yaw of the operator. The system has computer logic that transforms data points from sensor frames of reference to a global frame of reference and merges transformed data points in a point cloud that can be used to generate images of scanned environments on a display.