2015/09/28 by Stephan Friedrichs, Michael Hemmer, Friedrichs, Stephan +5 · 1 citation
Computer Science · Environmental Science · #Computational Geometry and Mesh Generation #Robotic Path Planning Algorithms #Remote Sensing and LiDAR Applications
paper · doi:10.20382/jocg.v7i1a13
In the NP-hard continuous 1.5D Terrain Guarding Problem (TGP) we are given an x-monotone chain of line segments in R2 (the terrain T), and ask for the minimum number of guards (located anywhere on T) required to guard all of T. We construct guard candidate and witness sets G, W ⊂ T of polynomial size such that any feasible (optimal) guard cover G^* ⊆ G for W is also feasible (optimal) for the continuous TGP. This discretization allows us to: (1) settle NP-completeness for the continuous TGP; (2) provide a Polynomial Time Approximation Scheme (PTAS) for the continuous TGP using the PTAS for the discrete TGP by Gibson et al.; (3) formulate the continuous TGP as an Integer Linear Program (IP). Furthermore, we propose several filtering techniques reducing the size of our discretization, allowing us to devise an efficient IP-based algorithm that reliably provides optimal guard placements for terrains with up to 106 vertices within minutes on a standard desktop computer.