International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 11 Issue: 06 | Jun 2024
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p-ISSN: 2395-0072
ADVANCEMENTS IN AUTOMATED VALIDATION TESTING FOR AUTONOMOUS VEHICLES Sree Ramya Yendluri Zoox.Inc, USA ------------------------------------------------------------------------***-------------------------------------------------------------------------
ABSTRACT: The market for self-driving cars has grown a lot in recent years. By 2026, the world market is expected to be worth $556.67 billion. It is hard to make sure that these cars are safe and reliable through validation testing because they are getting more complicated and AI and EV technologies are being added to them. The change from manual testing to automated validation testing is talked about in this piece, along with the pros, cons, and possible futures of this method. This article looks at case studies, research results, and industry efforts to give a full picture of where automated validation testing is now and where it's going in the autonomous vehicle industry. The results make it clear how important it is for people in business and people in academia to work together to drive innovation and standardization in testing and validation procedures. Keywords: Automated Validation Testing, Autonomous Vehicles, Self-Driving Car Safety, Simulation Tools, Industry-Academia Collaboration
I. INTRODUCTION The market for self-driving cars has grown by leaps and bounds in the past few years. It's expected to hit $556.67 billion by 2026 [1]. This huge growth is due to more people wanting transportation options that are safer, more efficient, and better for the earth. There were 24.10 billion dollars worth of autonomous vehicles on the market around the world in 2020. The market is projected to grow at a rate of 18.06% per year over the next few years [2]. This fast growth is due to improvements in artificial intelligence (AI), sensor technology, and high-performance computing, which have made it possible for more complex self-driving car systems to be made [3]. As these cars get more complicated, it becomes more and more important to have fast and accurate validation testing. A lot of sensors, cameras, and software systems work together to help self-driving cars find their way and make decisions in real-time.
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