Hybrid Hardware in Loop Architecture for Autonomous Vehicles

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© 2024 by IJCTT Journal
Volume-72 Issue-7
Year of Publication : 2024
Authors : Shobhit Kukreti, Tanvi Hungund, Priyank Singh
DOI :  10.14445/22312803/IJCTT-V72I7P104

How to Cite?

Shobhit Kukreti, Tanvi Hungund, Priyank Singh, "Hybrid Hardware in Loop Architecture for Autonomous Vehicles," International Journal of Computer Trends and Technology, vol. 72, no. 7, pp. 26-31, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I7P104

Abstract
The automotive world is going through a paradigm shift. With sensor technologies like 4K cameras, LiDARs, Radars, etc., becoming more affordable and advances in Deep Learning algorithms development, research is trending towards developing Autonomous Vehicles and bringing them mainstream. However, a challenge remains in the commercialization of technologies. An automotive vehicle undergoes a rigorous verification and validation model. Perfected over decades, standards and guidelines are introduced to minimize failures. However, there exists a gap in testing when working with new sensors and algorithms, and our paper focuses on a hybrid setup for hardware in loop testing, which enables software to iterate over their development faster without having to wait to deploy on actual cars for testing.

Keywords
Autonomous Vehicles, Linux, Operating System, Emulation, QEMU.

Reference

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