Three-dimensional localization and mapping for mobile robot in disaster environments
نویسندگان
چکیده
A b s t r a c t To relieve damages of earthquake disaster, " The Special Project for Earthquake Disaster Mitigation in Urban Areas " have been kicked off in Japan. Our researcb group is a part of the sub-project " modeling of disaster environment for search and rescue " since 2002. In this project, our group aims to develop a three-dimensional mapping's algorithm that is installed in a mobile robot to search victims in a collapsed building. To realize this mission, it is important to map environment information, and also the mapping requires localization simultaneously. (Tbis is called " SLAM problem " .) In tbis research, we use three-dimensional map by laser range finder, and we also estimate its location in a global map using correlation technique. In this paper, we introduce our localization and mapping method, and we report a result of preparatory experiment for localization.
منابع مشابه
Map-merging in Multi-robot Simultaneous Localization and Mapping Process Using Two Heterogeneous Ground Robots
In this article, a fast and reliable map-merging algorithm is proposed to produce a global two dimensional map of an indoor environment in a multi-robot simultaneous localization and mapping (SLAM) process. In SLAM process, to find its way in this environment, a robot should be able to determine its position relative to a map formed from its observations. To solve this complex problem, simultan...
متن کاملEffects of Moving Landmark’s Speed on Multi-Robot Simultaneous Localization and Mapping in Dynamic Environments
Even when simultaneous localization and mapping (SLAM) solutions have been broadly developed, the vast majority of them relate to a single robot performing measurements in static environments. Researches show that the performance of SLAM algorithms deteriorates under dynamic environments. In this paper, a multi-robot simultaneous localization and mapping (MR-SLAM) system is implemented within a...
متن کاملNew Adaptive UKF Algorithm to Improve the Accuracy of SLAM
SLAM (Simultaneous Localization and Mapping) is a fundamental problem when an autonomous mobile robot explores an unknown environment by constructing/updating the environment map and localizing itself in this built map. The all-important problem of SLAM is revisited in this paper and a solution based on Adaptive Unscented Kalman Filter (AUKF) is presented. We will explain the detailed algorithm...
متن کاملMobile robot wall-following control using a behavior-based fuzzy controller in unknown environments
This paper addresses a behavior-based fuzzy controller (BFC) for mobile robot wall-following control.The wall-following task is usually used to explore an unknown environment.The proposed BFC consists of three sub-fuzzy controllers, including Straight-based Fuzzy Controller (SFC),Left-based Fuzzy Controller (LFC), and Right-based Fuzzy Controller (RFC).The proposed wall-...
متن کاملThree-Dimensional Robotic Mapping
This paper presents an approach to the generation of three dimensional maps of complex environments that exploits improvements in vehicle location estimation provided by the Simultaneous Localisation and Mapping (SLAM) algorithm. It is shown that the use of the SLAM algorithm is able to improve the estimated vehicle path, resulting in a higher fidelity model of the environment. The map complexi...
متن کامل