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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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File | Description | Size | Format | |
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TANPINGTECK_FYPREPORT.pdf Restricted Access | 1.86 MB | Adobe PDF | View/Open |
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