Abstract
AbstractThe advancement of Artificial Intelligence (AI), which includes Augmented Reality (AR) and Virtual Reality (VR), has sped up the continuous advancement and deployment of Autonomous Vehicles (AVs) in the industry of transportation. This project is powered by big data from numerous sensing devices as well as modern computational resources. AI has become an integral component of AVs for understanding the surrounding environment and making suitable decisions while in motion. It’s critical to understand how AR and VR work in AV systems in order to achieve the goal of full automation (i.e., self-driving). Existing research has put a lot of effort into looking into various aspects of using AR and VR in AV development. However, few studies have provided a thorough examination of current practices in implementing AR and VR in AVs to the research community. As a result, by providing a comprehensive survey of key studies in this research area, this chapter aims to close the gap. Its specific purpose is to estimate the danger of adopting AR/VR technology in the automotive industry since real-time risk assessment of autonomous driving at operational and tactical levels is exceedingly difficult because both contextual and circumferential aspects must be considered simultaneously.KeywordsAugmented reality (AR)Virtual reality (VR)Autonomous vehicles (AV)Risk assessmentKnowledge-based risk assessment
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