Discipline: Mathematics and Statistics
Subcategory: Mathematics and Statistics
Session: 2
Room: Exhibit Hall A
Daniel LeMaitre - Savannah State University
Co-Author(s): Hyounkyun Oh, Savannah State University, Savannah, GA
This research describes a fundamental way to navigate an optimal driving path within a road map image from Google. Without any usage of developed driving software and well-made test curves for a road, we seek for a path on an interesting Google Map image using basic MATLAB functions. Considering the natural driving factors of visibility and the speed limit, a proper step size is selected and a driving algorithm is established by utilizing mathematical modulus theory and Image Processing technique of color identification. The optimized driving path with the minimum angle turns at each step is sought and refined for the better smooth path. With a corresponding USGS elevation data three dimensional terrain map is created and the virtual 3D trajectory is simulated parallel to the 2D plotting.
Funder Acknowledgement(s): PSLSAMP
Faculty Advisor: Hyounkyun Oh, hoh@savannahstate.edu
Role: Worked on the code used to generate the algorithm; created some of the attempted concepts before reaching the final result; researched the past methods of Automatic driving systems