The world’s richest person, Elon Musk’s company Tesla; It is seen as a leader in autopilot driving, as it equips all its cars with sensors and currently collects data from a fleet of more than one million vehicles.
Tesla’s head of AI (artificial intelligence) shared new images of the auto-classification feature that identifies objects around the vehicle to make the company’s autopilot system more reliable. This feature is expected to have a significant accelerating effect on the development of Tesla’s Full Self-Driving Beta.
A huge team is working on the feature
Tesla’s autopilot team has been focusing on the ‘classification’ feature for a long time. Now, Tesla is trying to automate the classification feature in order to use the data collected by this fleet.
Information collected by the fleet according to the feature; vehicles are classified with information such as lanes and street signs. Thus, the feature offers safer driving by separating people from objects and ‘detecting’ objects.
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Tesla’s head of artificial intelligence, Andrej Karpathy, emphasized how much attention was given to the subject, noting that Tesla only had a dozen engineers working on artificial neural networks last year, but had a “giant” team working on classification.
Stating that drivers can effectively classify while driving, Musk said, “I think this is an advantage that no one else has, and we are literally bigger than everyone’s sum” for Tesla and the new feature.
On the other hand, Tesla also has employees who manually classify data into the system. The company is known to hire thousands of people to work at Gigafactory New for the classification process.
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