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Divergent stereo in autonomous navigation: From bees to robots
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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A computational approach to motion perception
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Obstacle detection by evaluation of optical flow fields from image sequences
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Determining optical flow
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On the estimation of optical flow: Relations between different approaches and some new results
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Computer-controlled systems: Theory and design
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Computer controlled systems theory and design
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Range perception through apparent image speed in freely flying honeybees
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Motion cues provide the bee's visual world with a third dimension
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The evolution of visual processing and the construction of seeing systems
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A visually guided mobile robot acting in indoor environments
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Centering behavior using peripheral vision
inferredcites →https://doi.org/10.1109/cvpr.1993.341094openalex-snapshot
Divergent stereo for robot navigation: learning from bees
inferredcites →https://doi.org/10.1109/icar.1991.240410openalex-snapshot
A practical implementation of a multilevel architecture for vision-based navigation
inferredcites →https://doi.org/10.1109/icar.1991.240553openalex-snapshot
Real time visuomotor control: from flies to robots
inferredcites →https://doi.org/10.1109/icpr.1990.118128openalex-snapshot
Purposive and qualitative active vision
inferredcites →https://doi.org/10.1109/iros.1988.593660openalex-snapshot
Estimation Of Visual Motion And 3d Motion Parameters From Singular Points
inferredcites →https://doi.org/10.1111/1467-8721.ep10767830openalex-snapshot
Distance Perception in Insects
inferredcites →https://doi.org/10.1364/on.15.000017openalex-snapshot
Phase matching with time varying inhomogeneous fields
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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УДОСКОНАЛЕННЯ СИСТЕМИ ВІЗУАЛЬНОГО ВИЗНАЧЕННЯ ТА ПОДОЛАННЯ ПЕРЕШКОД ДЛЯ БЕЗПІЛОТНОГО ЛІТАЛЬНОГО АПАРАТУ
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