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Electrical Engineering
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UNT Scholarly Works
Autonomous Robot Localization Using WiFi Fingerprinting
Date: April 14, 2011
Creator: Bunkley, Terrence; Wright, Alex & Namuduri, Kamesh
Description: This paper discusses autonomous robot localization using WiFi fingerprinting. Abstract: We are using widely available 802.11 wireless networks to determine the location of autonomous robots. Before a robot can accomplish a simple task such as moving to a specific coordinate, it must accurately know its current location with-in a certain degree of accuracy. Humans often take their eye sight and spatial awareness for granted. For a robot, the computational difficulty of solving the same problem becomes apparent. Our implementation creates a database of wireless signal strengths of a given area and uses the current signal strength reading within the area to find a weighted signal space distance. The "closest" point in the database should also correlate with the current position of the robot. Given the robots correct location, the authors can successfully navigate around any area with sufficient Wi-Fi coverage.
Contributing Partner: UNT Honors College
Permallink:digital.library.unt.edu/ark:/67531/metadc94281/
Swarm-Copters Senior Design Project: Simulating UAV Swarm Networks Using Quadcopters for Search and Rescue Applications
Date: April 19, 2012
Creator: Moudy, Mark; Namuduri, Kamesh & Keathly, David
Description: This paper discusses a senior design project on researching swarm-copters. Currently when a person gets lost a rescue team is called into action to utilize a wide range of terrain specific methods and tools to help locate the missing person. This current method is problematic for several reasons, namely high costs and the increased risk of the rescuers becoming rescuees. Quadcopters are ideal for simulating a network of UAVs in a search and rescue situation because they can be outfitted with a range of situation specific sensors, are easily mobilized, and can reduce the risk to the rescuers. The Swarm-Copters system utilizes: multiple sensors to assist with flight, a camera system to provide a real-time view of the search area, and a centralized base station to control the search and rescue operation. The system was developed using a swarm style approach which allows for two or more autonomous quadcopters to work together in completing a scan of a search grid.
Contributing Partner: UNT Honors College
Permallink:digital.library.unt.edu/ark:/67531/metadc86177/
Lunar Surface Navigation and Exploration
Date: April 14, 2011
Creator: Mischo, Michael; Knott, Jeremy; Davis, LaTonya; Kendrick, Mario & Namuduri, Kamesh
Description: This paper discusses research on lunar surface navigation and exploration. Abstract: Sending humans to other worlds is very costly and dangerous so first voyages are often made by machines. While machines are very cost effective they must be capable of performing many tasks in an environment where help may not be close or on the same planet at all. Our closest terrestrial body, the moon, is around 238,857 miles away and takes about eight seconds to send a message making remote control of these machines difficult and slow. The authors' approach is to have the system be completely autonomous and absent of human control. To accomplish complete automation, the first problem is to have the system navigate the terrain. This system is equipped with a stereoscopic camera and a visual frequency scanning laser to provide a robust sensor system for object detection and obstacle avoidance. In combination the stereoscopic cameras and the scanning laser can define the surrounding environment in very high detail, enabling the system to easily navigate through it. The implications of this technology could lead to less costly EVAs, lower risk to personnel, and ground level navigation and mapping of extra terrestrial terrain.
Contributing Partner: UNT Honors College
Permallink:digital.library.unt.edu/ark:/67531/metadc86176/
Indoor Propagation Modeling at 2.4 GHZ for IEEE 802.11 Networks
Date: April 2006
Creator: Akl, Robert G.; Tummala, Dinesh & Li, Xinrong
Description: This paper discusses indoor propagation modeling. Abstract: The purpose of this study is to characterize the indoor channel for 802.11 wireless local area networks at 2.4 GHz frequency. This work presents a channel model based on measurements conducted in commonly found scenarios in buildings. These scenarios include closed corridor, open corridor, classroom, and computer lab. Path loss equations are determined using log-distance path loss model and log-normal shadowing. The Chi-square test statistic values for each access point are calculated to prove that the observed fading is a normal distribution at 5% significance level. A numerical analysis of measurements in each scenario was conducted and the study determined equations that describe path loss for each scenario.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc30827/