Space Application of a Self-Calibrating Optical Processor for Harsh Mechanical Environment

Tchernykh, V.; Janschek, Klaus; Dyblenko, S.

doi:10.1016/s1474-6670(17)39162-0

Cited by 17 publications

(8 citation statements)

References 1 publication

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“…Due to special design solutions owned by TU Dresden, the devices are robust to mechanical loads and deformations. (Tchernykh et al, 2000, Janschek et al, 2005a. One of the models has been successfully tested in an airborne test campaign, where very promising performances have been shown .…”

Section: Optical Correlator Technologymentioning

confidence: 99%

“…It exploits the principle of Joint Transform Correlation (JTC) in an optoelectronic setup using the Optical Fourier Transform (Goodman, 1968). Based on the experience of the authors with different successful optical processor developments , Janschek et al, 2004a, Tchernykh et al, 2000, Janschek et al, 2005a a new optical processor design is presented, which makes use of advanced optoelectronic technology. The proposed optoelectronic optical flow processor (OE-OFP) shows to be very compact with low mass and low power consumption and provides the necessary high performance needed for navigation applications in the field of robotics (ground, aerial, marine) and space flight (satellites, landing vehicles).…”

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confidence: 99%

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Optical Correlator based Optical Flow Processor for Real Time Visual Navigation

Tchernykh¹,

Beck²,

Janschek³

2007

Vision Systems: Applications

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Section: Optical Correlator Technologymentioning

confidence: 99%

mentioning

confidence: 99%

Optical Correlator based Optical Flow Processor for Real Time Visual Navigation

Tchernykh¹,

Beck²,

Janschek³

2007

Vision Systems: Applications

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“…TU Dresden has developed an embedded hardware model of a JTOC with a performance 60 correlations/sec 10 . Due to special design solutions owned by TU Dresden, the devices are robust to mechanical loads and deformations [11][12][13] . …”

Section: B Joint Transform Optical Correlationmentioning

confidence: 99%

Performance Analysis for Visual Planetary Landing Navigation Using Optical Flow and DEM Matching

Janschek

Beck

2006

AIAA Guidance, Navigation, and Control Conference and Exhibit

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Visual navigation for planetary landing vehicles shows many scientific and technical challenges due to inclined and rather high velocity approach trajectories, complex 3D environment and high computational requirements for real-time image processing. High relative navigation accuracy at landing site is required for obstacle avoidance and operational constraints. The current paper discusses detailed performance analysis results for a recently published concept of a visual navigation system, based on a mono camera as vision sensor and matching of the recovered and reference 3D models of the landing site. The recovered 3D models are being produced by real-time, instantaneous optical flow processing of the navigation camera images. An embedded optical correlator is introduced, which allows a robust and ultra high-speed optical flow processing under different and even unfavorable illumination conditions. The performance analysis is based on a detailed software simulation model of the visual navigation system, including the optical correlator as the key component for ultra-high speed image processing. The paper recalls the general structure of the navigation system and presents detailed end-to-end visual navigation performance results for a Mercury landing reference mission in terms of different visual navigation entry conditions, reference DEM resolution, navigation camera configuration and auxiliary sensor information.

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“…under European Space Agency (ESA) contracts ( Figure 3). Due to special design solutions these devices are very robust against mechanical loads and do not require precise assembly and adjustment [16,17]. The results of airborne flight tests showed very promising performances [14].…”

Section: Optical Correlator Technologymentioning

confidence: 99%

“…It exploits the principle of Joint Transform Correlation (JTC) in an optoelectronic setup using the Optical Fourier Transform [13]. Based on the experience of the authors with different successful optical processor developments [14,15,16,17] a new optical processor design is presented, which makes use of advanced optoelectronic technology. The proposed optoelectronic optical flow processor (OE-OFP) shows to be very compact with low mass and low power consumption and provides the high performance needed for navigation applications in the field of robotics (ground, aerial, marine) and space flight (satellites, landing vehicles).…”

Section: Introductionmentioning

confidence: 99%

An Embedded Optical Flow Processor for Visual Navigation using Optical Correlator Technology

Tchernykh

Beck

Janschek

2006

2006 IEEE/RSJ International Conference on Intelligent Robots and Systems

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-The conceptual design of an embedded high performance opto-electronic optical flow processor is presented, which is designed for navigation applications in the field of robotics (ground, aerial, marine) and space (satellites, landing vehicles). It is based on 2D fragment image motion determination by 2D correlation. To meet the real-time performance requirements the principle of joint transform correlation (JTC) and advanced optical correlator technology is used. The paper recalls briefly the underlying principles of optical flow computation and optical correlation, it shows the system layout and the conceptual design for the optical flow processor and it gives preliminary performance results based on a high fidelity simulation of the complete optical processing chain.

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Space Application of a Self-Calibrating Optical Processor for Harsh Mechanical Environment

Cited by 17 publications

References 1 publication

Optical Correlator based Optical Flow Processor for Real Time Visual Navigation

Optical Correlator based Optical Flow Processor for Real Time Visual Navigation

Performance Analysis for Visual Planetary Landing Navigation Using Optical Flow and DEM Matching

An Embedded Optical Flow Processor for Visual Navigation using Optical Correlator Technology

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