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Insect-Inspired Estimation of Egomotion.

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Title: Insect-Inspired Estimation of Egomotion.
Authors: Franz, Matthias O., Chahl, Javaan S., Krapp, Holger G.
Source: Neural Computation. Nov2004, Vol. 16 Issue 11, p2245-2260. 16p.
Subjects: Neurons, Vision, Flies, Brain, Optics, Biosensors
Abstract: Tangential neurons in the fly brain are sensitive to the typical optic flow patterns generated during egomotion. In this study, we examine whether a simplified linear model based on the organization principles in tangential neurons can be used to estimate egomotion from the optic flow. We present a theory for the construction of an estimator consisting of a linear combination of optic flow vectors that incorporates prior knowledge about the distance distribution of the environment and about the noise and egomotion statistics of the sensor. The estimator is tested on a gantry carrying an omnidirectional vision sensor. The experiments show that the proposed approach leads to accurate and robust estimates of rotation rates, whereas translation estimates are of reasonable quality, albeit less reliable. [ABSTRACT FROM AUTHOR]
Copyright of Neural Computation is the property of MIT Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Insect-Inspired Estimation of Egomotion.
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  Data: <searchLink fieldCode="AR" term="%22Franz%2C+Matthias+O%2E%22">Franz, Matthias O.</searchLink><br /><searchLink fieldCode="AR" term="%22Chahl%2C+Javaan+S%2E%22">Chahl, Javaan S.</searchLink><br /><searchLink fieldCode="AR" term="%22Krapp%2C+Holger+G%2E%22">Krapp, Holger G.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Neural+Computation%22">Neural Computation</searchLink>. Nov2004, Vol. 16 Issue 11, p2245-2260. 16p.
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  Data: <searchLink fieldCode="DE" term="%22Neurons%22">Neurons</searchLink><br /><searchLink fieldCode="DE" term="%22Vision%22">Vision</searchLink><br /><searchLink fieldCode="DE" term="%22Flies%22">Flies</searchLink><br /><searchLink fieldCode="DE" term="%22Brain%22">Brain</searchLink><br /><searchLink fieldCode="DE" term="%22Optics%22">Optics</searchLink><br /><searchLink fieldCode="DE" term="%22Biosensors%22">Biosensors</searchLink>
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  Data: Tangential neurons in the fly brain are sensitive to the typical optic flow patterns generated during egomotion. In this study, we examine whether a simplified linear model based on the organization principles in tangential neurons can be used to estimate egomotion from the optic flow. We present a theory for the construction of an estimator consisting of a linear combination of optic flow vectors that incorporates prior knowledge about the distance distribution of the environment and about the noise and egomotion statistics of the sensor. The estimator is tested on a gantry carrying an omnidirectional vision sensor. The experiments show that the proposed approach leads to accurate and robust estimates of rotation rates, whereas translation estimates are of reasonable quality, albeit less reliable. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Neural Computation is the property of MIT Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1162/0899766041941899
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        Text: English
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        Type: general
      – SubjectFull: Vision
        Type: general
      – SubjectFull: Flies
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      – SubjectFull: Optics
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      – SubjectFull: Biosensors
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      – TitleFull: Insect-Inspired Estimation of Egomotion.
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              Text: Nov2004
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