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

@incollection{masala:scheduling, 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.}, author = {Masala, Enrico and De Martin, Juan C.}, citeulike-article-id = {5437884}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-0-387-79582-9_7}, citeulike-linkout-1 = {http://www.springerlink.com/content/m3845q64m40127w5}, doi = {10.1007/978-0-387-79582-9_7}, journal = {In-Vehicle Corpus and Signal Processing for Driver Behavior}, keywords = {crawdad, gatech\_vehicular, vanet}, pages = {1--14}, posted-at = {2009-08-14 15:09:22}, priority = {2}, title = {Perceptually Optimized Packet Scheduling for Robust Real-Time Intervehicle Video Communications}, url = {http://dx.doi.org/10.1007/978-0-387-79582-9_7}, year = {2009} }

TY - CHAP ID - masala:scheduling L3 - citeulike-article-id:5437884 N2 - 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. JF - In-Vehicle Corpus and Signal Processing for Driver Behavior EP - 14 TI - Perceptually Optimized Packet Scheduling for Robust Real-Time Intervehicle Video Communications SP - 1 KW - crawdad KW - gatech_vehicular KW - vanet AU - Masala, Enrico AU - De Martin, Juan PY - 2009/// UR - http://dx.doi.org/10.1007/978-0-387-79582-9_7 ER -