title: Intuitive terrain reconstruction using height observation-based ground segmentation and 3D object boundary estimation.
abstract: Mobile robot operators must make rapid decisions based on information about the robot's surrounding environment. This means that terrain modeling and photorealistic visualization are required for the remote operation of mobile robots. We have produced a voxel map and textured mesh from the 2D and 3D datasets collected by a robot's array of sensors, but some upper parts of objects are beyond the sensors' measurements and these parts are missing in the terrain reconstruction result. This result is an incomplete terrain model. To solve this problem, we present a new ground segmentation method to detect non-ground data in the reconstructed voxel map. Our method uses height histograms to estimate the ground height range, and a Gibbs-Markov random field model to refine the segmentation results. To reconstruct a complete terrain model of the 3D environment, we develop a 3D boundary estimation method for non-ground objects. We apply a boundary detection technique to the 2D image, before estimating and refining the actual height values of the non-ground vertices in the reconstructed textured mesh. Our proposed methods were tested in an outdoor environment in which trees and buildings were not completely sensed. Our results show that the time required for ground segmentation is faster than that for data sensing, which is necessary for a real-time approach. In addition, those parts of objects that were not sensed are accurately recovered to retrieve their real-world appearances.
authors.affiliation: Department of Multimedia Engineering, Dongguk University-Seoul, 26 Pildong 3 Ga, Jung-gu, Seoul 100-715, Korea. songwei@dongguk.edu
authors.forename: Wei
authors.initials: W
authors.lastname: Song
authors.forename: Kyungeun
authors.initials: K
authors.lastname: Cho
authors.forename: Kyhyun
authors.initials: K
authors.lastname: Um
authors.forename: Chee Sun
authors.initials: CS
authors.lastname: Won
authors.forename: Sungdae
authors.initials: S
authors.lastname: Sim
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional; D010363:Pattern Recognition, Automated; D012371:Robotics