This Is AuburnElectronic Theses and Dissertations

Browsing by Author "Martin, Scott"

Now showing items 1-20 of 33

Adaptive Steering Actuator Delay Compensation for a Vehicle Lateral Control System 

Kennedy, William (2023-05-01)
This thesis presents an adaptive control algorithm for steering actuator delay compensation in a ground vehicle lateral control system. Unknown and time-varying actuator delay values are considered. Many active safety ...

Aerial Vision-Based Relative Positioning and Ground Vehicle Speed Estimation for Cooperative UAV-UGV Automated Platoons 

Williams, Robert III (2022-12-09)  ETD File Embargoed
This thesis is not approved for public release.

Ambiguous Energy Suppression in Encryption Derived Pseudo-Random BPSK Radar Signals 

Kamrath, Luke (2021-12-01)
In this thesis, a pseudo-random binary phase shift keying (BPSK) radar signal is developed using Advanced Encryption Standard (AES-192). The primary objective of this encryption based BPSK (E-BPSK) signal is to provide a ...

Closely Coupled GPS/INS Relative Positioning For Automated Vehicle Convoys 

Martin, Scott (2011-04-15)
In this thesis, differential GPS methods are developed for use in automated vehicle convoy positioning. The GPS pseudorange and carrier phase measurements are used to compute relative position vectors between two vehicles ...

Computer Vision Based Cooperative Navigation for UAVs and Ground Vehicles 

Kamrath, Daniel (2022-06-30)
This thesis is not approved for public release.

Decentralized Collaborative Navigation in Limited Observability Environments with Low Earth Orbit Satellite Signals of Opportunity between Aerial and Ground Vehicles 

Moomaw, Christian (2023-07-28)
A decentralized collaborative navigation algorithm known as inverse covariance intersection (ICI) is studied in the context of a group of vehicles navigating using opportunistic Doppler measurements. Signals of opportunity ...

Deep Integration of a Flight Vehicle Dynamic Model in a Vector Tracking Software Defined Receiver 

Miller, Noah (2024-01-04)
The greater occurrence of signal interference on Global Navigation Satellite Systems (GNSS) requires additional alternative navigation solutions to provide robust, reliable localization of flight vehicles when measurements ...

Deep Learned Multi-Modal Traffic Agent Predictions for Truck Platooning Cut-Ins 

Douglass, Samuel Jr (2020-05-18)
Recent advances in Driver-Assisted Truck Platooning (DATP) have shown success in linking multiple trucks in leader-follower platoons using Cooperative Adaptive Cruise Control (CACC). Such setups allow for closer spacing ...

Detection of GNSS Faults Using Receiver Clock Drift Estimates 

Wood, Joshua (2021-05-25)
GNSS based navigation systems are used in almost every sector, from industrial and agricultural environments to everyday applications such as personal navigation or autonomous vehicles. Satellite navigation provides accurate ...

Effect of Atmospheric Drag Estimation on Orbit Determination 

McDougal, Madeline (2023-12-07)
Determining the location of Low Earth Orbit (LEO) satellites in orbit is an important aspect when using them for navigation and performing reentry analysis. A large perturbation in LEO satellite orbits is atmospheric ...

Estimation of Relative Motion between Non-Rigid Bodies on a Semi-Truck 

Schretter, Brendan (2024-01-08)
This thesis develops methods to estimate the relative motion between the cabin and chassis of a semi-truck without the use of a complex suspension model between the two bodies. In, this thesis only sensors that would be ...

Evaluation of Cooperative Navigation Strategies with Maneuvering UAVs 

Pryor, Jacob (2021-07-27)
This thesis presents and evaluates cooperative navigation methods used to reduce navigation solution error growth between members of an unmanned aerial vehicle - unmanned ground vehicle (UAV-UGV) or all-UAV team when Global ...

GPS Carrier Phase Tracking in Difficult Environments Using Vector Tracking For Precise Positioning and Vehicle Attitude Estimation 

Martin, Scott (2017-04-25)
In this dissertation, two approaches are developed to improve the carrier phase tracking performance of a software-defined GPS receiver. The first approach combines a non-coherent vector tracking architecture with a local ...

A GPS L1 and Cellular 4G LTE Vector Tracking Software-Defined Receiver 

Morgan, Samuel (2023-11-17)
In this thesis, a traditional GPS L1 vector tracking receiver is augmented with cellular 4G LTE channels. The hybrid receiver can acquire and track GPS L1 and LTE signals simultaneously in an extended Kalman filter-based ...

A GPS L5 Software Defined Vector Tracking Receiver 

Givhan, Charles Anderson (2021-08-11)
As the world continues towards autonomy, the need for continuous, precise, and robust navigation is becoming increasingly important. A new wave of modernized Global Navigation Satellite Systems (GNSS) signals are currently ...

Graph-Based Relative Path Estimation Using Landmarks for Long Distance Ground Vehicle Following 

Pierce, Dan (2022-12-08)
This dissertation presents a graph-based sensor fusion framework for the localization of automated ground vehicles for leader-follower path duplication. A specific focus is given to scenarios where the following distance ...

Improving CRPA Anti-Jamming Performance with Virtual Array Integration 

Wiggins, Gabriel (2023-01-12)
This thesis explores the concept of integrating a virtual array into current controlled reception pattern antenna (CRPA) technology to increase performance. A four channel virtual CRPA is designed and simulated, and its ...

Improving Magnetic Map-Based Navigation using Vehicle Motion Information 

McWilliams, Ryan (2022-01-06)
This thesis utilizes the earth's main magnetic field as the signal for a map definition, implements a particle filter to synthesize a solution from likelihood information, and introduces vehicle motion information by means ...

Investigation of Precise Relative Positioning through Varying Equipment Grades 

Campos-Vega, Christian (2022-02-22)
In this thesis, three methodologies are investigated in order to provide precise relative positioning knowledge between two dynamic platforms as equipment grade is varied. Two methods are integrated into the real-time ...