A Survey on Compressed Sensing in Vehicular Infotainment Systems

Abstract

Vehicular infotainment systems have attracted great interests from both academia and industry. A vehicular infotainment system includes two parts: 1) the information part and 2) the entertainment part, which are integrated together to provide a unified platform to drivers and passengers. Although some excellent works have been done on vehicular infotainment systems, there are still some significant challenges that need to be addressed. Recently, compressed sensing (CS) has emerged as a new technique, which could be used to tackle the challenges in vehicular infotainment systems. In this paper, we present a comprehensive survey and research challenges on the applications of CS in vehicular infotainment systems, including object tracking for driving safety, privacy protection and security, vehicular crowdsensing, vehicular communications, road traffic estimation, video streaming, and object recognition. In addition, we compare the traditional methods and CS methods in solving the main problems in vehicular infotainment systems. Moreover, research challenges of applying CS in vehicular infotainment systems are discussed.