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

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 highquality real-time algorithm has been demonstrated with great practical potential.

Review on Lossless Image Compression Techniques for Welding Radiographic Images

“…The Run Length Coding is also used in certain other sectors of image processing like: pattern recognition, pattern detection, etc., such sectors use RLE in real-time applications like detecting the pathway of the robot, route memorizing of the robot, etc., Luo et al (2009). We can also use this RLE in the division of image segmentation, in the area of edge detection to identify the background and foreground pixels of the image.…”