Autonomous Vehicles and Virtual Reality
DOI: 10.1007/978-3-031-45263-5
archive: archived pipeline: cataloged verified
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Summary
This book, *Autonomous Vehicles and Virtual Reality* by Andras Kemeny, examines the technological convergence of autonomous driving systems and immersive visualization technologies, framing their integration as a new automobile industrial revolution. The work is motivated by the shared technical foundations of these fields, both of which operate in 3D space, utilize similar sensor setups (such as calibrated, synchronized cameras), and rely on real-time GPU processing. A central problem addressed is the prevalence of motion sickness, cybersickness, and VR-induced sickness effects (VRISE), which hinder the widespread adoption of virtual reality and pose significant risks for passengers in autonomous vehicles who will no longer be driving. The author argues that while computational power and investment from major tech companies have accelerated development, human factors—specifically perceptual discrepancies between visual cues and vestibular signals—remain critical barriers to large-scale deployment. The text draws heavily on historical context and the author’s extensive experience in driving simulation, particularly through the European PROMETHEUS project and the development of the SCANeR simulation software. Rather than presenting new experimental data, the book synthesizes existing knowledge from driving simulation, virtual reality, and automotive engineering. It details the evolution of VR hardware from Ivan Sutherland’s 1968 helmet to modern augmented reality (AR) systems like Microsoft’s HoloLens, noting that AR systems often induce less sickness because they retain real-world visual references. The analysis covers the industrial landscape, including the roles of traditional OEMs and tech giants (GAFAM), and highlights the use of massive simulation via high-performance computing (HPC) to verify and validate autonomous driving systems by testing millions of scenarios. Key findings emphasize that cybersickness arises from multisensorial incoherencies, such as mismatches between binocular vision, accommodation, and inner ear equilibrium signals. The book identifies that while VR has struggled with public adoption due to these sickness effects, driving simulation offers established mitigation strategies, such as motion cueing algorithms and specific display configurations. The text posits that autonomous vehicles will increasingly integrate AR and head-up displays (HUDs) to provide safety information and infotainment, transforming the cabin into an extended-reality environment. However, the transition from driver to passenger introduces new challenges, including "self-driving sickness," which requires careful design of in-cabin experiences to avoid negative physiological effects. The significance of this work lies in its interdisciplinary approach, linking the technical requirements of autonomous vehicle validation with the human-factor constraints of immersive technology. It concludes that the integration of VR/AR with autonomous vehicles, supported by cloud-based streaming and 5G connectivity, will fundamentally alter transportation and daily life. The book serves as a comprehensive reference for understanding the historical, technical, and social implications of this convergence, offering insights into mitigation measures for motion sickness that are applicable across both automotive and virtual reality domains. It underscores that while the technology exists, successful deployment depends on resolving human-centric issues like sickness and ensuring safety through rigorous digital simulation.
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed.
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-17 |
| archive | success | unpaywall | — | — | 2 | 2026-06-25 |
| extract | success | pdftotext | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-26 |
| chunk | success | chunk | — | — | 1 | 2026-06-26 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-26 |
| enrich | success | openalex | — | — | 1 | 2026-06-20 |
| promote | success | — | — | — | 1 | 2026-06-17 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-25 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-26 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-25; verification: verified.
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