Visual Calibration for Multiview Laser Doppler Speed Sensing.

calibration computer vision laser doppler velocimetry motion sensing optimization

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
30 Jan 2019
Historique:
received: 24 12 2018
revised: 24 01 2019
accepted: 25 01 2019
entrez: 2 2 2019
pubmed: 2 2 2019
medline: 2 2 2019
Statut: epublish

Résumé

We present a novel calibration method for a multi-view laser Doppler speed sensing (MLDSS) system. In contrast with the traditional method where only the laser geometry is independently calibrated, the proposed method simultaneously optimizes all the laser parameters and directly associates the parameters with a motion sensing model. By jointly considering the consistency among laser Doppler velocimetry, the laser geometry and a visual marker tracking system, the proposed calibration method further boosts the accuracy of MLDSS. We analyzed the factors influencing the precision, and quantitatively evaluated the efficiency of the proposed method on several data sets.

Identifiants

pubmed: 30704094
pii: s19030582
doi: 10.3390/s19030582
pmc: PMC6387043
pii:
doi:

Types de publication

Journal Article

Langues

eng

Références

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Auteurs

Yunpu Hu (Y)

Department of Creative Informatics, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan. yunpu_hu@ipc.i.u-tokyo.ac.jp.

Leo Miyashita (L)

Department of Creative Informatics, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan. leo_miyashita@ipc.i.u-tokyo.ac.jp.

Yoshihiro Watanabe (Y)

Department of Information and Communications Engineering, School of Engineering, Tokyo Institute of Technology, 4259-G2-31, Nagatsuta, Midori-ku, Yokohama, Kanagawa 226-8502, Japan. watanabe.y.cl@m.titech.ac.jp.

Masatoshi Ishikawa (M)

Department of Creative Informatics, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan. masatoshi_ishikawa@ipc.i.u-tokyo.ac.jp.

Classifications MeSH