Murray Trevor, Zeil Jochen
Research School of Biology, Australian National University, Canberra, Australia.
PLoS One. 2017 Oct 31;12(10):e0187226. doi: 10.1371/journal.pone.0187226. eCollection 2017.
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.
它们能确定位置,因为图像差异会随着与参考位置的距离增加而平滑增大;它们还能提供罗盘信息,因为图像差异会随着与参考方向的旋转角度增加而平滑增大。到目前为止,对于行走的动物,通过确定自然栖息地地面平面上图像差异的发展情况,已从其角度量化了给定参考图像能够提供导航指引的范围(其“集水区域”)。然而,为了理解飞行动物可获取的信息,有必要描述全景快照能够提供导航指引的“集水体积”。我们使用了最近开发的基于相机的方法来构建自然环境的三维模型,并在这些模型内的特定位置渲染全景视图,目的是在三维空间中绘制导航信息。我们发现,在相对开阔的林地栖息地中,集水体积大得出奇,根据观察者对图像差异的敏感度,其范围可达数米。集水体积的大小和形状取决于环境中视觉特征的距离。对于靠近地面的参考图像,集水体积较小;而对于离地面有一定距离且处于更开阔环境中的参考图像,集水体积则会变大。有趣的是,当仅使用地平线以上的视图时,以及当视图包含1公里外的全景时,集水体积都会变小。我们讨论了在自然环境中绘制导航信息的当前局限性以及我们的研究结果对于理解动物和自主机器人视觉导航的相关性。