Three-Dimensional Indoor Mobile Mapping With Fusion of Two-Dimensional Laser Scanner and RGB-D Camera Data

Abstract

Three-dimensional mobile mapping in indoor environment, mostly global navigation satellite system-denied space, is to consecutively align the frames to build a global 3-D map of an indoor environment. One of the major difficulties of the current solutions is the failure at the insufficient overlapping between the frames, which is the reality of a lack of correspondences between the frames. To overcome this problem, a 3-D indoor mobile mapping system that integrates a 2-D laser scanner, and an RGB-Depth camera is presented in this letter. In this system, a fusion-iterative closest point (ICP) method, which combines the 2-D mobile platform pose from a Rao-Blackwellized particle filter estimation, an ICP, and a generalized-ICP method, is proposed for the consecutive frame alignment. Fusion-ICP achieves effective frame alignment, particularly in solving the insufficient overlapping frame alignment problem. Comparative experiments were conducted to evaluate the mapping system. The experimental results demonstrate the effectiveness and efficiency of our system for 3-D indoor mobile mapping.