Events
DMS Graduate Student Seminar |
Time: Oct 07, 2020 (03:00 PM) |
Location: ZOOM |
Details: Speaker: Dr. Elvan Ceyhan
Title: Optimal Obstacle Placement with Disambiguations in Presence of Uniform Clutter
Abstract: We consider the optimal obstacle placement (OOP) with disambiguations problem wherein the goal is to place true obstacles by an obstacle placing agent (OPA) in an environment cluttered with false obstacles so as to maximize the total traversal length of a navigating agent (NAVA). Prior to the traversal, NAVA is given location information and has a sensor that assigns probabilistic estimates of each disk-shaped hindrance (henceforth referred to as disk) being a true obstacle. The NAVA can disambiguate a disk's status only by its boundary. On the other hand, we assume OPA knows the clutter spatial distribution type (referred to as clutter type for brevity henceforth), but not the exact locations of clutter disks. We consider various obstacle placement schemes against clutter point realizations sampled from a uniform spatial point distribution in various window types (namely, the entire window, linear strips, V-shaped and W-shaped regions). We analyze the traversal for various obstacle number and obstacle placing scheme combinations and identify the optimal combination and the optimal window type for obstacle placement and use a real-world maritime minefield data set. We also provide some open problems with prospective research directions. This is a joint work with V. Aksakalli (RMIT University).
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Topic: Graduate Student Seminar
Time: October 7, 2020 03:00 PM Central Time (US and Canada)
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Meeting ID: 869 331 4103
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