Enhancing Autonomous Vehicle Design and Testing: A Comprehensive Review of AR and VR Integration
April 29, 2024 ยท The Cartographer ยท ๐ arXiv.org
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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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