@inproceedings{76d7ed253e874e17bbe6b20710c56e6f,
title = "A new smartphone lane detection system: Realizing true potential of multi-core mobile devices",
abstract = "Just as multi-core processors revolutionized general computing in the past decade, so too multi-core mobile devices mark the new era of mobile computing today. To make full use of multi-core technology, any algorithm developed for a generic computing platform needs to be explicitly modified to match the specific processor of the mobile device in question. In this paper, we demonstrate how proper utilization of a dual-core mobile processor can achieve tremendous speedup in mobile applications. To illustrate the full potential of multi-core utilization, we propose a real-time mobile lane detection system based on a carefully designed parallel programming framework. This integrated parallel approach is capable of detecting lanes with curvature in real time and outperforms several traditional sequential approach. Experimental results confirm that the proposed system produces high detection rates while conforming to the real-time constraint. The successful implementation of the proposed system demonstrates that the true potential of multi-core smartphones can indeed be realized through careful design of parallel programming on the multi-core processor.",
keywords = "Android, computer vision, lane detection, mobile computing, multi-core architecture, real-time processing",
author = "Panya Chanawangsa and Chen, \{Chang Wen\}",
year = "2012",
doi = "10.1145/2151677.2151682",
language = "English",
isbn = "9781450311663",
series = "MoVid'12 - Proceedings of the 4th Workshop on Mobile Video",
pages = "19--24",
booktitle = "MoVid'12 - Proceedings of the 4th Workshop on Mobile Video",
note = "4th Workshop on Mobile Video, MoVid'12 ; Conference date: 24-02-2012 Through 24-02-2012",
}