THE USE OF A WIDE FOV LASER SCANNING SYSTEM AND A SLAM ALGORITHM FOR MOBILE APPLICATIONS

This paper presents the assessment of a wide-angle laser scanner and a simultaneous localisation and mapping (SLAM) algorithm to estimate the trajectory and generate a 3D map of the environment. A backpack platform composed of an OS0-128 Ouster (FoV 90 degrees x360 degrees) laser scanner was used to acquire laser data in an area with urban and forest features. Web SLAM, an online SLAM algorithm implemented by Ouster, Inc., was used to estimate the trajectory and generate a 3D map in a local reference system. Then, the 3D point clouds were transformed into the ground coordinate system with a rigid body transformation. Three datasets were used: (I) the entire trajectory consisting of forwarding and backwards paths, (II) only forward path, and (III) only backward path. Visual analysis showed a double mapping error in the point cloud of dataset I. Therefore, the point cloud registration was performed only for datasets II and III, achieving a centimetric accuracy, which is compatible with the OS0-128 laser scanner accuracy (similar to 5cm).

Automated summary

This paper presents an assessment of a wide-angle laser scanner and a SLAM algorithm for estimating trajectory and generating a 3D map of the environment. The study used a backpack platform with an OS0-128 Ouster laser scanner to acquire laser data in an area with urban and forest features. The Web SLAM algorithm was used to estimate the trajectory and generate a 3D map, which was then transformed into the ground coordinate system. Three datasets were used for analysis, and the results showed centimetric accuracy.