By Alex Wright and Terrence Bunkley Mentored by Dr. Kamesh Namaduri College of Engineering Department of Computer Science and Engineering Department of Electrical Engineering . Autonomous Robot Localization Using WiFi Fingerprinting. Introduction. Background Purpose Hypothesis. - PowerPoint PPT Presentation
Autonomous Robot Localization Using WiFi Fingerprinting
Autonomous Robot Localization Using WiFi FingerprintingBy Alex Wright and Terrence Bunkley
Mentored by Dr. Kamesh Namaduri
College of EngineeringDepartment of Computer Science and EngineeringDepartment of Electrical Engineering
BackgroundWhat got us interested?
Why not use GPS?
What are the possible wireless localization methods?
Purpose and HypothesisThe purpose of this project is to determine the location of autonomous robots using the wireless signals (802.11 n).
We believe that the locations of the robots can be determined best using the Fingerprinting Method
Materials4 Autonomously controlled Garcia robotsRed, Blue, White, and Orange
2 Computers Linux, Windows XP
Wireless APs at UNT Discovery Park802.11 n
MethodologyCreate a Grid-based layout
Take 10 scans of the RSSI signal
Repeat for every point mapped
Fluctuating wireless signals
Not as accurate as expected
ResultsWe were able to locate the robots through WiFi signals using the Fingerprint method.
We were able to develop heat maps showing the areas where signal strength is greatest.
Created programming algorithm that allows the robots to autonomously navigate to a single relative location.
Algorithm analyzes RSSI data sent from robot and compute s point
11Heat MapsSecond floor lobby the west side of Discovery Park
Heat MapsEmbedded Systems Lab
ConclusionThe location of devices are able to be located using wireless signals.
An open area would be ideal because objects absorb the signals.
A consistent transmit power should be used to improve accuracy.