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Estimating the mutual orientation in a multi-camera system with a non overlapping field of view

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autorschaft

  • Daniel Muhle
  • Steffen Abraham
  • Christian Heipke
  • Manfred Wiggenhagen

Externe Organisationen

  • Robert Bosch GmbH
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OriginalspracheEnglisch
Titel des SammelwerksPhotogrammetric Image Analysis, ISPRS Conference, PIA 2011, Proceedings
Seiten13-24
Seitenumfang12
PublikationsstatusVeröffentlicht - 2011
VeranstaltungISPRS Conference on Photogrammetric Image Analysis, PIA 2011 - Munich, Deutschland
Dauer: 5 Okt. 20117 Okt. 2011

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band6952 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Abstract

Multi-camera systems offer some advantages over classical systems like stereo or monocular camera systems. A multi-camera system with a non-overlapping field of view, able to cover a wide area, might prove superior e.g. in a mapping scenario where less time is needed to cover the entire area. Approaches to determine the parameters of the mutual orientation from common motions exist for more than 30 years. Most work presented in the past neglected or ignored the influence different motion characteristics have on the parameter estimation process. However, for critical motions a subset of the parameters of the mutual orientation can not be determined or only very inaccurate. In this paper we present a strategy and assessment scheme to allow a successful estimation of as many parameters as possible even for critical motions. Furthermore, the proposed approach is validated by experiments.

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Estimating the mutual orientation in a multi-camera system with a non overlapping field of view. / Muhle, Daniel; Abraham, Steffen; Heipke, Christian et al.
Photogrammetric Image Analysis, ISPRS Conference, PIA 2011, Proceedings. 2011. S. 13-24 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 6952 LNCS).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Muhle, D, Abraham, S, Heipke, C & Wiggenhagen, M 2011, Estimating the mutual orientation in a multi-camera system with a non overlapping field of view. in Photogrammetric Image Analysis, ISPRS Conference, PIA 2011, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 6952 LNCS, S. 13-24, ISPRS Conference on Photogrammetric Image Analysis, PIA 2011, Munich, Deutschland, 5 Okt. 2011. https://doi.org/10.1007/978-3-642-24393-6_2
Muhle, D., Abraham, S., Heipke, C., & Wiggenhagen, M. (2011). Estimating the mutual orientation in a multi-camera system with a non overlapping field of view. In Photogrammetric Image Analysis, ISPRS Conference, PIA 2011, Proceedings (S. 13-24). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 6952 LNCS). https://doi.org/10.1007/978-3-642-24393-6_2
Muhle D, Abraham S, Heipke C, Wiggenhagen M. Estimating the mutual orientation in a multi-camera system with a non overlapping field of view. in Photogrammetric Image Analysis, ISPRS Conference, PIA 2011, Proceedings. 2011. S. 13-24. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-24393-6_2
Muhle, Daniel ; Abraham, Steffen ; Heipke, Christian et al. / Estimating the mutual orientation in a multi-camera system with a non overlapping field of view. Photogrammetric Image Analysis, ISPRS Conference, PIA 2011, Proceedings. 2011. S. 13-24 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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