文献类型：会议论文

英文题名：Design of an integrated location system for fire detecting robot

作者：Yang, Qingmei[1];Sun, Jianmin[2]

第一作者：杨清梅

通讯作者：Yang, QM[1]

机构：[1]Beijing Union Univ, Coll Automat, Beijing, Peoples R China;[2]Beijing Inst Civil Engn & Architecture, Sch Mech Elect & Automat Engn, Beijing, Peoples R China

第一机构：北京联合大学城市轨道交通与物流学院

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Automat, Beijing, Peoples R China.|[1141751]北京联合大学城市轨道交通与物流学院;[11417]北京联合大学;

会议论文集：4th International Conference on Fuzzy Systems and Knowledge Discovery

会议日期：AUG 24-27, 2007

会议地点：Haikou, PEOPLES R CHINA

语种：英文

外文关键词：Data fusion - Global positioning system - Inertial navigation systems - Kalman filters

摘要：In order to reduce the loss caused by fires in environmental sensitive regions, an integrated location system of an autonomous robot that is used to detect fire is studied. Based on the analysis of location methods, such as the global positioning system (GPS), inertial navigation system (INS), dead reckoning (DR) system and the vector electronic map, GPS and INS are integrated in the location system of the autonomous fire detecting robot. The GPS subsystem and the INS subsystem of the GPS/INS integrated location are designed. Kalman filter is used in the GPS/INS integrated location system. Data fusion of INS/GPS integrated location is simulated. The results show that the fusion location method can improve the movement precision and location reliability of fire detecting robot.