The development of truly autonomous vehicles (AVs) has been hindered by the cost and time associated with safety testing, but a new system created at the University of Michigan in Ann Arbor shows that artificial intelligence can reduce the testing miles required by 99.99 percent.
This system could lead to a paradigm shift that enables manufacturers to verify more quickly whether their autonomous vehicle technology can operate safely and reduce the incidence of crashes. In a simulated environment, vehicles trained by artificial intelligence perform perilous maneuvers, forcing the AV to make decisions that confront drivers only rarely on the road, a necessary step in training the vehicles.
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Dr. David Schippers brings decades of industry experience in information technology, cybersecurity, and project management for large core system designs, quality assurance testing and system implementations, impacting regional, national and international business operations nearing a billion dollars. Dave earned his Doctorate of Science in Cybersecurity from Capitol Technology University. Dave’s doctoral research focused on source device authentication, assessing engineering and forensic authentication techniques. He earned his MS in Information Systems Management and his undergraduate degree in Information Security and Intelligence with a concentration in digital forensics from Ferris State University. Additionally, Dave has earned multiple industry certifications, including the CISSP and EnCE, and holds a professional investigator license in Michigan.
