- Descripción general
Autonomous driving is in the near future, but have you ever wondered how a car could make the quick decisions that a human driver would? Learn a little bit more about some of the ways that autonomous driving utilizes sensors and computer vision.
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Autonomous driving seems to be the future. But have you ever wondered how a car could make the quick decisions that a human driver would? I'm David Shaw, and you'll find out on this episode of AI News.
Today autonomous driving vehicles use artificial intelligence for most of their on-road decision-making capabilities. However, using this method, with many probabilities, leaves room for the AI system to make mistakes. That's why the company Mobileye, with its Responsibilities Sensitive Safety model, recommends adding a deterministic layer to the system.
RSS adds another level of decision-making power and, in total, will make the car think more like a human. For example, it will enable the vehicle to decide what to do when a driver cuts them off or when the car in front of them suddenly breaks in traffic. So hopefully there won't be any road rage.
Recently Chinese tech company Baidu announced that it will work with Mobileye in order to integrate and use their RSS model in both the open-source project Apollo and commercial Apollo pilot programs. Apollo is an open, secure, and reliable self-driving ecosystem which will help those in the autonomous driving industry build their self-driving system. In only one year, it has enlisted 116 global partners.
To learn more about the partnership and Mobileye's latest innovations, check out the article in the links provided. Thanks for watching AI News. We'll see you next week.