Optimal Trajectory in ℝ2 under Observation
- Authors: Berdyshev V.I.1, Kostousov V.B.1, Popov A.A.1
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Affiliations:
- Krasovskii Institute of Mathematics and Mechanics
- Issue: Vol 304, No Suppl 1 (2019)
- Pages: S31-S43
- Section: Article
- URL: https://journals.rcsi.science/0081-5438/article/view/175767
- DOI: https://doi.org/10.1134/S0081543819020056
- ID: 175767
Cite item
Abstract
We study the problem of forming a trajectory in a given “corridor” from ℝ2 such that the minimum distance from this trajectory to observers is maximal. Each observer is located outside the corridor and has an open convex observation cone overlapping the corridor. The positions of the observers and the cones are fixed. An observer can measure the distance to an object moving along the trajectory when the object is inside the observer’s cone. We describe an “optimal corridor,” i.e., the set of all optimal trajectories with given initial and terminal points. A similar problem is solved in the case where the moving object is a solid body, more exactly, a disk. For practical calculations, we propose algorithms that construct an optimal corridor and a shortest optimal trajectory for a solid object in a discrete statement. The initial continuous conditions of the problem, such as the boundaries of the corridor and the observation cones, are projected onto a discrete regular grid, and a discrete realization of the optimal corridor and its boundaries are constructed on the grid in the form of 8-connected sequences of grid nodes. The shortest optimal trajectory of the solid object is found with the use of Dijkstra’s algorithm.
Keywords
About the authors
V. I. Berdyshev
Krasovskii Institute of Mathematics and Mechanics
Author for correspondence.
Email: bvi@imm.uran.ru
Russian Federation, Yekaterinburg, 620990
V. B. Kostousov
Krasovskii Institute of Mathematics and Mechanics
Author for correspondence.
Email: vkost@imm.uran.ru
Russian Federation, Yekaterinburg, 620990
A. A. Popov
Krasovskii Institute of Mathematics and Mechanics
Author for correspondence.
Email: aap@imm.uran.ru
Russian Federation, Yekaterinburg, 620990
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