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If it could be done automatically, you’d arrive much faster, and more securely at the required algorithms. How do you sort and structure the data? Every single piece of data has to to be understood by the autonomous vehicle, a process that’s both expensive and prone to error when carried out by people. How will the car understand what the data is? It’s not just enough to collect the data, you have to make sure that the car understands what the data is–it can’t just see an object, it has to understand if that object is a tree, road, person, and so on. How do you do that cost-effectively and accurately? Huge amounts of data are necessary to train an autonomous vehicle. How do you collect all data you need? Machine Learning is at the heart of autonomous vehicles, and it’s a system that is very data-hungry.
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LiDARs (Light Detection and ranging) sensors.Computer vision if you're using cameras.Information can be gathered with a combination of sensors, such as: Perception: This covers how the car gets information about the real world.
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Planning: The planning part looks after how the vehicle navigates, overtakes, and avoids obstacles. Just like humans, an autonomous vehicle needs a “brain”: this is the autonomous system, which comprises four key areas:Ĭontrol: This part takes care of the actions that the car needs to do, such as braking, accelerating and steering.
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