Toyota unit Woven Planet says it is able to use low-cost cameras to collect data and effectively train its self-driving system, a ‘breakthrough’ that it hopes will help drive down costs and scale up the technology
Woven Planet told Reuters it is able to use low-cost cameras to collect data and effectively train its self-driving system, a “breakthrough” that it hopes will help drive down costs and scale up the technology.
“We need a lot of data. And it’s not sufficient to just have a small amount of data that can be collected from a small fleet of very expensive autonomous vehicles,” Michael Benisch, vice president of Engineering at Woven Planet, said in an interview with Reuters. It said using a majority of data coming from low-cost cameras increased its system’s performance to a level similar to when the system was trained exclusively on high-cost sensor data.
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