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Báo cáo hóa học: " Research Article System-Platforms-Based SystemC TLM Design of Image Processing Chains for Embedded Applications"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article System-Platforms-Based SystemC TLM Design of Image Processing Chains for Embedded Applications | Hindawi Publishing Corporation EURASIP Journal on Embedded Systems Volume 2007 Article ID 71043 14 pages doi 10.1155 2007 71043 Research Article System-Platforms-Based SystemC TLM Design of Image Processing Chains for Embedded Applications Muhammad Omer Cheema 1 2 Lionel Lacassagne 2 and Omar Hammami1 1 EECS Department Ecole Nationale Superieure de Techniques Avancees 32 Boulevard Victor 75739 Paris France 2 Axis Department University of Paris Sud 91405 Orsay France Received 18 October 2006 Accepted 3 May 2007 Recommended by Paolo Lombardi Intelligent vehicle design is a complex task which requires multidomains modeling and abstraction. Transaction-level modeling TLM and component-based software development approaches accelerate the process of an embedded system design and simulation and hence improve the overall productivity. On the other hand system-level design languages facilitate the fast hardware synthesis at behavioral level of abstraction. In this paper we introduce an approach for hardware software codesign of image processing applications targeted towards intelligent vehicle that uses platform-based SystemC TLM and component-based software design approaches along with HW synthesis using SystemC to accelerate system design and verification process. Our experiments show the effectiveness of our methodology. Copyright 2007 Muhammad Omer Cheema et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION Embedded systems using image processing algorithms represent an important segment of today s electronic industry. New developments and research trends for intelligent vehicles include image analysis video-based lane estimation and tracking for driver assistance and intelligent cruise control applications 1-5 . While there has been a notable growth in the use and application of these .