Approximation Algorithms for Tours of Orientation-varying View Cones

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Approximation Algorithms for Tours of Orientation-varying View Cones

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This paper considers the problem of finding the shortest tour to cover a given set of inverted cone views with apex angle ? and height H when their apex points lie on a planar surface. This is a novel variant of the 3D Traveling Salesman Problem with intersecting Neighborhoods (TSPN) called Cone-TSPN. When the cones are allowed to tilt by an angle ? we have the tilted Cone-TSPN problem, to which we present a polynomial time approximation algorithm. We demonstrate through simulations that our algorithm can be implemented in a practical way and by exploiting the structure of the cones we can achieve shorter tours. Finally, we present results from covering a reflective surface (lake area) that shows the importance of selecting different view angles under strong sunlight specularities.



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Stefas, Nikolaos; Plonski, Patrick A.; Isler, Volkan. (2018). Approximation Algorithms for Tours of Orientation-varying View Cones. Retrieved from the University Digital Conservancy,

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