A Reconfigurable Disparity Engine for Stereovision in Advanced Driver Assistance Systems

  • Mehdi Darouich
  • Stephane Guyetant
  • Dominique Lavenier
Conference paper

DOI: 10.1007/978-3-642-12133-3_28

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5992)
Cite this paper as:
Darouich M., Guyetant S., Lavenier D. (2010) A Reconfigurable Disparity Engine for Stereovision in Advanced Driver Assistance Systems. In: Sirisuk P., Morgan F., El-Ghazawi T., Amano H. (eds) Reconfigurable Computing: Architectures, Tools and Applications. ARC 2010. Lecture Notes in Computer Science, vol 5992. Springer, Berlin, Heidelberg

Abstract

Depth extraction in stereovision applications is very time-consuming and requires hardware acceleration in real-time context. A large number of methods have been proposed to handle this task. Each method answers more or less to real-time constraints, depending on the applicative context and user’s needs. Thus, flexibility is a strong requirement for a generic hardware acceleration solution, particularly when ASIC implementation is targeted. This paper presents REEFS, a reconfigurable architecture for embedded real-time stereovision applications. This architecture is composed of three reconfigurable modules that enable flexibility at each step of depth extraction, from correlation window size to the matching method. It generates VGA depth maps with 64 disparity levels at almost 87 frames per second, answering hard real-time requirements, like in Advanced Driver Assistance Systems.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Mehdi Darouich
    • 1
  • Stephane Guyetant
    • 1
  • Dominique Lavenier
    • 2
  1. 1.CEA LIST, Embedded Computing Laboratory, PC94, Gif-sur-YvetteFrance
  2. 2.ENS Cachan Bretagne / IRISA, Campus de BeaulieuRennesFrance

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