Hybrid Hardware in Loop Architecture for Autonomous Vehicles
Shobhit Kukreti, Tanvi Hungund, Priyank Singh · International Journal of Computer Trends and Technology · 2024
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.