Radar Scan Matching SLAM Using the Fourier-Mellin Transform

被引:0
|
作者
Checchin, Paul [1 ]
Gerossier, Franck [1 ]
Blanc, Christophe [1 ]
Chapuis, Roland [1 ]
Trassoudaine, Laurent [1 ]
机构
[1] Univ Blaise Pascal, Clermont Univ, LASMEA, F-63000 Clermont Ferrand, France
来源
关键词
REGISTRATION;
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
This paper is concerned with the Simultaneous Localization And Mapping (SLAM) problem using data obtained from a microwave radar sensor. The radar scanner is based on Frequency Modulated Continuous Wave (FMCW) technology. In order to meet the needs of radar image analysis complexity, a trajectory-oriented EKF-SLAM technique using data from a 3600 field of view radar sensor has been developed. This process makes no landmark assumptions and avoids the data association problem. The method of egomotion estimation makes use of the Fourier-Mellin Transform for registering radar images in a sequence, from which the rotation and translation of the sensor motion can be estimated. In the context of the scan-matching SLAM, the use of the Fourier-Mellin Transform is original and provides an accurate and efficient way of computing the rigid transformation between consecutive scans. Experimental results on real-world data are presented.
引用
收藏
页码:151 / 161
页数:11
相关论文
共 50 条
  • [1] Fourier-Mellin transform based image matching algorithm
    Dasgupta, B
    Chatterji, BN
    [J]. JOURNAL OF THE INSTITUTION OF ELECTRONICS AND TELECOMMUNICATION ENGINEERS, 1996, 42 (01): : 3 - 9
  • [2] Trajectory-oriented EKF-SLAM using the Fourier-Mellin Transform applied to Microwave Radar Images
    Gerossier, Franck
    Checchin, Paul
    Blanc, Christophe
    Chapuis, Roland
    Trassoudaine, Laurent
    [J]. 2009 IEEE-RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, 2009, : 4925 - 4930
  • [3] Unsupervised matching of visual landmarks for robotic homing using Fourier-Mellin transform
    Cassinis, R
    Duina, D
    Inelli, S
    Rizzi, A
    [J]. ROBOTICS AND AUTONOMOUS SYSTEMS, 2002, 40 (2-3) : 131 - 138
  • [4] Unsupervised matching of visual landmarks for robotic homing using Fourier-Mellin transform
    Rizzi, A
    Duina, D
    Inelli, S
    Cassinis, R
    [J]. INTELLIGENT AUTONOMOUS SYSTEMS 6, 2000, : 455 - 462
  • [5] Automatic recognition of shoeprints using Fourier-Mellin transform
    Gueham, M.
    Bouridane, A.
    Crookes, D.
    Nibouche, O.
    [J]. PROCEEDINGS OF THE 2008 NASA/ESA CONFERENCE ON ADAPTIVE HARDWARE AND SYSTEMS, 2008, : 487 - 491
  • [6] Research on Fourier-Mellin transform for image matching aided navigation system
    Wu Hualing
    Yan Li
    [J]. SECOND INTERNATIONAL CONFERENCE ON SPACE INFORMATION TECHNOLOGY, PTS 1-3, 2007, 6795
  • [7] FOURIER-MELLIN TRANSFORM AND MAMMALIAN HEARING
    ALTES, RA
    [J]. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 1978, 63 (01): : 174 - 183
  • [8] Medical image registration using Fourier-Mellin transform
    Pan, Meisen
    Jiang, Jianjun
    Zhang, Fen
    Rong, Qiusheng
    [J]. Journal of Computational Information Systems, 2015, 11 (03): : 1141 - 1148
  • [9] Motion Detection in the Presence of Egomotion Using the Fourier-Mellin Transform
    Thoduka, Santosh
    Hegger, Frederik
    Kraetzschmar, Gerhard K.
    Ploeger, Paul G.
    [J]. ROBOCUP 2017: ROBOT WORLD CUP XXI, 2018, 11175 : 252 - 264
  • [10] Proposal of Amplitude only Logarithmic Radon Transform for Pattern Matching - Relation with Fourier-Mellin Transform
    Hasegawa, Makoto
    [J]. 2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATIONS SYSTEMS (ISPACS 2008), 2008, : 242 - 245