A Roadmap for Testing the Quality of Automated and Autonomous Vehicles
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Beschreibung
This book investigates the root cause of automated and autonomous vehicle collisions, to illuminate the possible cause of failure of driving assistant systems and prevent their reoccurrence.
The emergence of automated and autonomous vehicles has revolutionized the driving experience. It has also shifted sole responsibility for driving task away from the driver to the automated system, either by assisting or fully performing the task.
There are many benefits to automated and autonomous driving; however, to ensure the quality, reliability, and safety of intelligent vehicles due to their complexity, a comprehensive plan is necessary. Therefore, this book aimed to answer the following questions:
A) What is the role of standards in developing automated and autonomous vehicles and how do they contribute to the quality, reliability, and safety of
such vehicles?
B) What can we learn from the vulnerabilities and collision data of current AVs to make them safer and more reliable?
Autor*in
Shervin Hajinia Leilabadi
Shervin is a researcher in the realm of automated and autonomous vehicles.
He played a crucial role in developing a breakthrough perception system that significantly enhanced a vehicle's ability to understand and respond to its surroundings. His work became a cornerstone for subsequent advancements in the field.
In addition to his academic pursuits, Shervin actively engaged with industry partners, contributing his expertise to various autonomous driving projects. His collaborations with major automotive companies and tech giants accelerated the development and deployment of autonomous technologies, making significant strides towards safer and more efficient transportation systems.
Themen in »A Roadmap for Testing the Quality of Automated and Autonomous Vehicles«
ADAS Quality Management Automated & Autonomous Vehicles