ArticlePloS one2017
Quantifying navigational information: The catchment volumes of panoramic snapshots in outdoor scenes.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- I2Bot: an open-source tool for multi-modal and embodied simulation of insect navigation.Journal of the Royal Society, Interface · 2025Article
- Visual navigation: properties, acquisition and use of views.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2023Review
- Varieties of visual navigation in insects.Animal cognition · 2023Review
- What view information is most important in the homeward navigation of an Australian bull ant, Myrmecia midas?Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2022Article
- Effect of large visual changes on the navigation of the nocturnal bull ant, Myrmecia midas.Animal cognition · 2020Article
- The Antarium: A Reconstructed Visual Reality Device for Ant Navigation Research.Frontiers in behavioral neuroscience · 2020Article
- The Cataglyphis Mahrèsienne: 50 years of Cataglyphis research at Mahrès.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2019Review
- Terrestrial cue learning and retention during the outbound and inbound foraging trip in the desert ant, Cataglyphis velox.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2019Article
- Rotation invariant visual processing for spatial memory in insects.Interface focus · 2018Article
- The View from the Trees: Nocturnal Bull Ants,Frontiers in psychology · 2018Article
- The problem of home choice in skyline-based homing.PloS one · 2018Article
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Authors and funding
2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Panoramic views of natural environments provide visually navigating animals with two kinds of information: they define locations because image differences increase smoothly with distance from a reference location and they provide compass information, because image differences increase smoothly with rotation away from a reference orientation. The range over which a given reference image can provide navigational guidance (its 'catchment area') has to date been quantified from the perspective of walking animals by determining how image differences develop across the ground plane of natural habitats. However, to understand the information available to flying animals there is a need to characterize the 'catchment volumes' within which panoramic snapshots can provide navigational guidance. We used recently developed camera-based methods for constructing 3D models of natural environments and rendered panoramic views at defined locations within these models with the aim of mapping navigational information in three dimensions. We find that in relatively open woodland habitats, catchment volumes are surprisingly large extending for metres depending on the sensitivity of the viewer to image differences. The size and the shape of catchment volumes depend on the distance of visual features in the environment. Catchment volumes are smaller for reference images close to the ground and become larger for reference images at some distance from the ground and in more open environments. Interestingly, catchment volumes become smaller when only above horizon views are used and also when views include a 1 km distant panorama. We discuss the current limitations of mapping navigational information in natural environments and the relevance of our findings for our understanding of visual navigation in animals and autonomous robots.
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