Date of Award
2018
Document Type
Thesis
Degree Name
Bachelors
Department
Natural Sciences
First Advisor
Kalmanovich, Gary
Area of Concentration
Computer Science and Applied Mathematics
Abstract
Autonomous navigation is an important emerging technology with applications in warehouse automation, shipping, and personal navigation. An important step in being able to enter this new field is working with physical hardware. However, handson experimentation may prove too expensive for individuals at the undergraduate level, with common research platforms costing several thousand dollars. In this thesis, I present a design for a cheap ground vehicle capable of fusing sensor data into a local state estimate, the first step of navigation. Costs were minimized by using personal components most college students already own, namely a personal laptop and smartphone. This should be an effective base to allow wider entry into autonomous navigation research.
Recommended Citation
Johnson, Noah, "STATE ESTIMATION OF AN UNMANNED GROUND VEHICLE USING INEXPENSIVE SENSORS" (2018). Theses & ETDs. 5538.
https://digitalcommons.ncf.edu/theses_etds/5538