1st International ICST Symposium on Vehicular Computing Systems

Research Article

Real-Time Video Compression for Driver Assistance Camera Systems

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  • @INPROCEEDINGS{10.4108/ICST.ISVCS2008.3553,
        author={Mehrnoush Rahmani and Holger Kloess and Wolfgang Hintermaier and Eckehard Steinbach},
        title={Real-Time Video Compression for Driver Assistance Camera Systems},
        proceedings={1st International ICST Symposium on Vehicular Computing Systems},
        proceedings_a={ISVCS},
        year={2010},
        month={5},
        keywords={Driver assistance Camera systems Video compression In-vehicle video transmission},
        doi={10.4108/ICST.ISVCS2008.3553}
    }
    
  • Mehrnoush Rahmani
    Holger Kloess
    Wolfgang Hintermaier
    Eckehard Steinbach
    Year: 2010
    Real-Time Video Compression for Driver Assistance Camera Systems
    ISVCS
    ICST
    DOI: 10.4108/ICST.ISVCS2008.3553
Mehrnoush Rahmani1,*, Holger Kloess1,*, Wolfgang Hintermaier1,*, Eckehard Steinbach2,*
  • 1: BMW Group Research and Technology 80788 Munich, Germany
  • 2: Technische Universitaet Muenchen Media Technology Group 80290 Munich, Germany
*Contact email: mehrnoush.rahmani@bmw.de, holger.kloess@bmw.de, Wolfgang.Hintermaier@bmw.de, eckehard.steinbach@tum.de

Abstract

In-vehicle communication systems have become quite complex and costly mainly because of the growing number of in-car audio and video applications and the different interconnected network technologies. In order to reduce the complexity and the production cost, an IP-based network realized by the Fast-Ethernet and Wireless LAN (WLAN) technologies has been proposed in our previous work that connects all audio and video transmitting devices in the car. However, in order not to exceed the link capacities while transmitting several video streams simultaneously, video compression is necessary. Video streams from driver assistance services have strict delay and quality requirements for the underlying network system. In this work, we compare and analyze applicable video codecs for real-time video applications in the car and define metrics to evaluate the performance of the algorithms in wired and wireless networks. Concepts for the hardware realization of IP cameras with hardware based video codecs are finally described to further improve the coding performance.