NDLI: Route memorization in real-time data processing using Run-Length Encoding

Content Provider	IEEE Xplore Digital Library
Author	Feng Luo Zhihui Huang Fei Yan Dongyuan Sun
Copyright Year	2009
Description	Author affiliation: College of Automotive Engineering, Tongji University, Shanghai, China (Feng Luo; Zhihui Huang; Fei Yan; Dongyuan Sun)
Abstract	A real-time data processing algorithm based on Run-Length Encoding (RLE) for an intelligent racing vehicle is introduced in this paper. In order to improve the achievement of the intelligent racing vehicle's running in the second loop by recoding route information, a new method based on RLE is provided by setting an optimal calculus threshold. Simulated by Matlab/Simulink, the route memorization algorithm shows the obvious advantage in the data compression, which makes the compression ratio up to 22.3. In the meantime, the calculus threshold can be constructed in a certain range, which qualifies the algorithm with a good robustness. Compared with the optimal results achieved by Matlab's genetic algorithm and direct search toolbox, the RLE algorithm can satisfy the requirements very well. When the embedded system has to face the flood for the data increasing geometrically, this high-quality real-time algorithm has been demonstrated with great practical potential.
Starting Page	1354
Ending Page	1358
File Size	1243742
Page Count	5
File Format	PDF
ISBN	9781424435036
ISSN	19310587
DOI	10.1109/IVS.2009.5164482
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-03
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data processing Encoding Intelligent vehicles Calculus Data compression Robustness Genetic algorithms Embedded system Floods Real time systems Run-length encoding Real-time data processing Intelligent racing vehicle Memorizing algorithm
Content Type	Text
Resource Type	Article

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