Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/70495
Title: An axis-biased approach for dead reckoning algorithm
Authors: Tan, Ping Teck
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies
Issue Date: 2017
Abstract: 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.
URI: http://hdl.handle.net/10356/70495
Schools: School of Computer Science and Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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