文献类型：会议论文

英文题名：Simulation Research of Location System for Fire Detecting Robot

作者：Yang, Qingmei[1];Sun, Jiammin[2]

第一作者：杨清梅

通讯作者：Yang, QM[1]

机构：[1]Beijing Union Univ, Coll Automat, Beijing 100101, Peoples R China;[2]Beijing Univ Civil Engn & Architect, Sch Mech Elect & Automobile Engn, Beijing 100044, 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 100101, 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：IEEE International Conference on Automation and Logistics

会议日期：AUG 05-07, 2009

会议地点：Shenyang, PEOPLES R CHINA

语种：英文

外文关键词：Measure system; Information fusion; GPS; Kalman filter

摘要：The multi-sensor information fusion has received great attention due to extensive application backgrounds. Information fusion methods are introduced. An autonomous robot used in environmental sensitive regions to detect fire is studied. Its measurement technology is a key to ensure that the robot move autonomously. The integrated measure system of the robot is designed to improving precise and reliable measurement information of the robot. The measurement information is fused with a information fusion algorithm. The measurement system is simulated with Matlab. The results show that the fusion location can improve the precision of measurement system efficiently.