Periodic Reporting for period 1 - MACROSS (Multimedia Communication and Processing over Vehicular Cloud Networks for AutonomousDriving)
Reporting period: 2018-03-01 to 2020-02-29
High-quality wireless communication that guarantees reliable real-time sensing data (normally in the form of multimedia) to be shared among vehicles and road-side infrastructure is the key to realize VCN. The vehicle-to-everything (V2X) communication technology has attracted tremendous research attentions. This motivates another technical path towards fully autonomous driving by improving the environment perception capability of smart cars with reduced cost through V2X communications. However, supporting future autonomous driving applications with shared sensing data is challenging. On the one hand, transmission protocols are designed mainly targeting on small-size bursty emergency-triggered messages or periodic vehicle-status messages. On the other hand, investigations exploiting the full potential of sharing content-rich and resource-hungry sensing data normally focus on effective data processing based on the assumptions that the wireless data delivery process is either sufficiently good or completely unpredictable. These designing perspectives would lead to unsatisfactory outcomes. To this end, the project aims to develop the effective methods that leverage innovative multimedia communication and multimedia processing technologies over VCNs to support future autonomous driving. It targets to tackle two challenges: 1) how to transmit resource-hungry multimedia sensing data in unreliable vehicular communication environments and maximize the data sharing quality; and 2) how to process the sensing data when only a certain level of knowledge regarding the network communication quality is available.