Abstract The automotive industry is increasingly looking at solutions for intervehicle wireless communications, as demonstrated by the development of wireless access in vehicular environment (WAVE) communications standards. Potential applications are numerous, ranging from safety to entertainment. Warning signals are the most immediate applications, but more complex forms of communications, and video, in particular, could be used by innovative applications such as multi-vehicle-based visual processing of road information, multi-vehicle radar systems for obstacle avoidance and automatic driving, and more generally swarm communications among cars traveling along the same road. However, providing reliable communication services in the vehicular environment still remains a challenging task, mainly because of the extremely time-varying characteristics of wireless channels. This chapter presents a perceptually optimized packet scheduling algorithm developed for robust low-delay intervehicle video communication. The algorithm has been tested by transmitting video data captured by on-board cameras to another vehicle in proximity, using ad hoc 802.11 wireless technology and the H.264 video coding standard, showing that it achieves a consistently higher quality compared to two reference techniques, i.e., the standard MAC-layer retransmission scheme and a delay-constrained retransmission technique, with gains up to 2 dB PSNR.


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    Title :

    Perceptually Optimized Packet Scheduling for Robust Real-Time Intervehicle Video Communications


    Contributors:


    Publication date :

    2008-10-06


    Size :

    14 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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