Sensors Data Fusion to Navigate Inside Pipe Using Kalman Filter

被引:0
|
作者
Siqueira, Everson [1 ]
Azzolin, Rodrigo [1 ]
Botelho, Silvia [1 ]
Oliveira, Vinicius [1 ]
机构
[1] Univ Fed Rio Grande FURG, Av Itlia Km 8 Bairro Carreiros, Rio Grande, RS, Brazil
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Pipelines have been used to convey products such as oil, gas, chemicals and water. It means that problems with pipelines would indicate money waste and environment damages. To avoid those problems, inspections are realised periodically. The technology improvement has made possible employing robots and mobile platforms to inspect pipes. The focus of this work is to implement a strategy to acquire the pose of robot or platform inside pipe. The method consists in the use of a technique to fuse information from a low cost IMU and encoder. Simulations are realised using Matlab software.
引用
收藏
页数:5
相关论文
共 50 条
  • [41] The Fractional Kalman Filter Based Asynchronous Multi-Rate Sensors Information Fusion
    Xue, Guangyue
    Guo, Jing
    Xu, Yubin
    Zhao, Wei
    PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION AND CONTROL (ICMIC), 2018,
  • [42] A Kalman filter based registration approach for asynchronous sensors in multiple sensor fusion applications
    Zhou, YF
    2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL II, PROCEEDINGS: SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING SIGNAL PROCESSING THEORY AND METHODS, 2004, : 293 - 296
  • [43] A federated Kalman filter design using a gain fusion algorithm
    Kim, J
    Jee, GI
    Lee, JG
    AUTOMATIC CONTROL IN AEROSPACE 1998, 1999, : 385 - 391
  • [44] Robust Extended Kalman filter for NLOS Mitigation and Sensor Data Fusion
    Bordoy, Joan
    Schindelhauer, Christian
    Zhang, Rui
    Hoeflinger, Fabian
    Reindl, Leonhard M.
    2017 4TH IEEE INTERNATIONAL SYMPOSIUM ON INERTIAL SENSORS AND SYSTEMS (INERTIAL), 2017, : 117 - 120
  • [45] THREE AXIS ROTATION MEASUREMENTS WITH KALMAN FILTER DATA-FUSION
    Skula, David
    Vesely, Milos
    ANNALS OF DAAAM FOR 2009 & PROCEEDINGS OF THE 20TH INTERNATIONAL DAAAM SYMPOSIUM, 2009, 20 : 1079 - 1080
  • [46] Sensor Fusion of Cardiorespiratory Signals Using an Adaptive Kalman Filter
    Linschmann, Onno
    Horstmann, Tim
    Leonhardt, Steffen
    Lueken, Markus
    2023 45TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY, EMBC, 2023,
  • [47] GPS/DR navigation data fusion method based on Kalman filter
    School of Transportation, Jilin University, Changchun 130025, Jilin, China
    J. Traffic Transp. Eng., 2006, 2 (65-69):
  • [48] GPS/DR data fusion based on fuzzy adaptive Kalman filter
    Tang, Lei
    Zhao, Chun-Xia
    Tang, Zhen-Min
    Cheng, Wei-Ming
    Zhang, Hao-Feng
    Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2007, 24 (06): : 891 - 894
  • [49] Sensor fusion for prediction of orientation and position from obstacle using multiple IR sensors An approach based on Kalman Filter
    Sharma, Rahul K.
    Honc, Daniel
    Dusek, Frantisek
    2014 INTERNATIONAL CONFERENCE ON APPLIED ELECTRONICS (AE), 2014, : 263 - 266
  • [50] Applications of multi-height sensors data fusion and fault-tolerant Kalman filter in integrated navigation system of UAV
    Geng, Keke
    Chulin, N. A.
    XII INTERNATIONAL SYMPOSIUM INTELLIGENT SYSTEMS 2016, (INTELS 2016), 2017, 103 : 231 - 238