Multidimensional binary search trees used for associative searching
Communications of the ACM
Robot Pose Estimation in Unknown Environments by Matching 2D Range Scans
Journal of Intelligent and Robotic Systems
Approaches to Large-Scale Urban Modeling
IEEE Computer Graphics and Applications
An Automated Method for Large-Scale, Ground-Based City Model Acquisition
International Journal of Computer Vision
An Efficient Extension to Elevation Maps for Outdoor Terrain Mapping and Loop Closing
International Journal of Robotics Research
Multimedia mashups for mirror worlds
Proceedings of the 16th International Conference on 3D Web Technology
Hi-index | 0.00 |
A mirror world, which is a virtual space modeling a physical space, attracts enormous interests from VR community recently. Various applications such as Second Life, Google Earth and Virtual Earth have proven their usefulness and potentialities. We introduce a novel method to build a mirror world by acquiring environment data represented as a point cloud. Since our system provides a streaming service of the mirror world while gathering the environment information simultaneously, users located in an immersive display system can navigate and interact in the mirror world reflecting the physical world of the present state. Mobile agent which is a mobile robot carrying two laser rangefinder is responsible for exploring the physical world and creating an environment model. Environment modeling involves position tracking method to merge scattered geometric data. Optimizing method is also need to reduce space complexity of environment model.