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This paper presents a Distributed Simultaneous Localization and Mapping (DSLAM) technique to realize Laser Range Finder (LRF) and stereo vision based 3D robotics fast mapping. The motivation stems from the fact that the optimization procedure of laser scan matching involved in robot SLAM and the stereo ranging is both computationally intensive. In DSLAM, parallelism mechanism is studied by using multi-thread...
This paper presents a new method of localization and map building of mobile robot based on mixed map model using LRF (Laser Range Finder). The mixed model composed of occupancy grids and line character maps is utilized to represent the environment map. Firstly, the LRF models and Bayes rules are used to construct a local occupancy grid map. Then, we extract obstacles points to get a precise geometry...
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