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Erschienen in:
2013 | OriginalPaper | Buchkapitel
A Method to Implementation of Lane Detection Under Android System Based on OpenCV
verfasst von : Xiao-Xu Wei, Lei Meng
Erschienen in: Intelligent Technologies and Engineering Systems
Verlag: Springer New York
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Abstract
Lane detection has drawn great attention in vehicle assistant driving and intelligent navigation systems, some of them are developed using Android operating system. This chapter presents a method to implementation of lane detection under Android system based on Open Source Computer Vision Library. To resolve the problem between C/C++ and Java mixed-language programming, the native code should be written using JNI with the Android NDK which makes available to use native code languages such as C/C++ in the Android at application level. Implementation of image processed with several processing techniques using OpenCV, such as RGB to grayscale conversion, set region of interest (ROI) crop, Canny edge detection, Hough transform, and linear fitness to detect the road lane. The method is verified on Android Virtual Device at the end of the chapter.