Enhancing Autonomous Vehicle Design and Testing: A Comprehensive Review of AR and VR Integration

April 29, 2024 ยท The Cartographer ยท ๐Ÿ› arXiv.org

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
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"Title-pattern auto-detect: Enhancing Autonomous Vehicle Design and Testing: A Comprehensive Review of AR and VR Integration"

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Authors Emanuella Ejichukwu, Lauren Tong, Gadir Hazime, Bochen Jia arXiv ID 2404.19021 Category cs.HC: Human-Computer Interaction Citations 2 Venue arXiv.org Last Checked 4 days ago
Abstract
This comprehensive literature review explores the potential of Augmented Reality and Virtual Reality technologies to enhance the design and testing of autonomous vehicles. By analyzing existing research, the review aims to identify how AR and VR can be leveraged to improve various aspects of autonomous vehicle development, including: creating more realistic and comprehensive testing environments, facilitating the design of user centered interfaces, and safely evaluating driver behavior in complex scenarios. Ultimately, the review highlights AR and VR utilization as a key driver in the development of adaptable testing environments, fostering more dependable autonomous vehicle technology, and ultimately propelling significant advancements within the field.
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