An axis-biased approach for dead reckoning algorithm
Tan, Ping Teck
Date of Issue2017
School of Computer Science and Engineering
This report aims to improve upon the conventional Dead Reckoning algorithm. The conventional Dead Reckoning may not work perfectly with entities which move in a curvilinear motion. The axis biased approach was proposed as a solution to this limitation. Using Unreal Engine 4 to generate the character’s in-game path, simulation of Dead Reckoning was done on the coordinates for comparison between the two models. Biased Dead Reckoning cycles through three different options of no bias, x-axis bias and y-axis bias. This solution had a trade-off, introducing more errors while reducing the average deviation from actual path.
DRNTU::Engineering::Computer science and engineering::Computing methodologies
Final Year Project (FYP)
Nanyang Technological University