Artificial intelligence is working to help bring autonomous vehicles closer to universal roll out. The advancement of technologies such as LiDAR has led to an improvement of data collected by the autonomous vehicles. The data collected from this would be useless without a processor. AI acts as the brain of the vehicles, processing enormous amounts of data to ensure the correct decisions are made and ensure a safe transit.
For years, limited technology had been preventing the advancement of autonomous driving technology. Nowadays AI is being viewed as adequate to replace drivers with. Google’s self-driving AI became the first to qualify as a legal driver through the U.S safety regulators in February 2016.
AI technology is being integrated with other autonomous technology such as LiDAR, cameras, radar, and advanced software to help power the vehicles of tomorrow. Deep learning will help share information with other vehicles and empower fleets to learn at rapid speed. AI technology will have a major impact on the automotive industry in years to come.
This ebook examines the ways in which AI can be implemented to maximise autonomous vehicles efficiency and safety. Providing an in-depth exploration of AI from the perspectives of academics, such as Dr. Nicolaj Stache, professor of automotive systems engineering at the Heilbronn University & Aaron Steinfeld, associate research professor at the Robotics Institute of Carnegie Mellon University, & industry experts, including Amnon Shashua, co-founder and CTO of Mobileye, & Karl Iagnemma, CEO of nuTonomy.
Want to find out more? Read how the automotive industry implementing AI to make autonomous vehicles a reality ebook