Position and Altitude of the Nao Camera Head from Two Points on the Soccer Field plus the Gravitational Direction
Stijn Oomes, Arnoud Visser

TL;DR
This paper introduces a geometric method using simplified tetrahedron models and rational trigonometry to accurately estimate the Nao robot's camera position and altitude on a soccer field, improving speed without sacrificing accuracy.
Contribution
It presents a novel geometric approach for determining robot camera position and altitude using minimal observed points and gravitational direction, optimized with rational trigonometry.
Findings
28.7% faster computations with equal accuracy
Position errors of 3-6 centimeters compared to external measurements
Effective gravitational direction estimation from goal post edges
Abstract
To be able to play soccer, a robot needs a good estimate of its current position on the field. Ideally, multiple features are visible that have known locations. By applying trigonometry we can estimate the viewpoint from where this observation was actually made. Given that the Nao robots of the Standard Platform League have quite a limited field of view, a given camera frame typically only allows for one or two points to be recognized. In this paper we propose a method for determining the (x, y) coordinates on the field and the height h of the camera from the geometry of a simplified tetrahedron. This configuration is formed by two observed points on the ground plane plus the gravitational direction. When the distance between the two points is known, and the directions to the points plus the gravitational direction are measured, all dimensions of the tetrahedron can be determined.…
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Taxonomy
TopicsSports Dynamics and Biomechanics · Video Analysis and Summarization · Advanced Vision and Imaging
