Multimedia for Autonomous Driving

Abstract

Multimedia has played an indispensable role in the success of various real-world applications, from smart healthcare to intelligent surveillance systems. In this new era of technology, one of these essential and useful applications is autonomous driving or self-driving cars. The idea of driverless vehicles was introduced many years ago when autopilot systems were designed for airplanes. However, over the past few years, there have been incredible advances in autonomous driving, thanks to new technologies in multimedia and artificial intelligence. In particular, multimedia research using a broad range of techniques such as machine learning, computer vision, audio processing, simulation systems, robotics, and big data has significantly enhanced and expedited the autonomous driving technology over time. In addition to the main applications of self-driving cars such as autonomous delivery vehicles, taxis, and freight trucks, the autonomous driving technology can provide many opportunities in military, constructions, healthcare, and emergency management. Despite the effectiveness and efficiency that self-driving cars bring to the future of transportation, many challenges remain that need to be solved before fully-autonomous driving becomes a reality.