Toyota unit Woven Planet aims to use low-cost cameras in place of lidar sensors for self-driving technology to reduce costs and enhance technology.
Toyota Motor Unit Woven Planet has joined Tesla Inc in an effort to advance self-driving technology without expensive sensors like lidar.
Woven Planet told Reuters that it has been able to use low-cost cameras to collect data and train its self-driving systems effectively, a “breakthrough” it hopes will help reduce costs and enable the technology to work. will help increase.
Collecting diverse driving data using a vast fleet of cars is critical to developing a robust self-driving car system, but it is expensive and not scalable to test autonomous vehicles with expensive sensors, it said.
Tesla is betting on cameras to collect data from more than 1 million vehicles on the road to develop its automated driving technology, while Alphabet’s Waymo and other self-driving car firms have added expensive sensors like lidar to a small number of vehicles. have pairs.
“We need a lot of data. And it’s not enough to just have a small amount of data that can be collected from a small fleet of very expensive autonomous vehicles,” said Michael Benish, vice president of engineering, Buna Planet. Said in an interview. with Reuters.
“Rather, we’re trying to demonstrate that we can unlock the advantage of Toyota and a major automaker that has access to a large corpus of data, but with far less fidelity,” said a former engineering director. Benisch said. The self-driving division of Lyft, which Toyota acquired last year.
Woven Planet uses cameras that are 90% cheaper than previously used sensors and can be easily installed in fleets of passenger cars.
Woven Planet says it uses cameras that are 90% cheaper than the sensors used before.
It said that using most of the data coming from low-cost cameras boosted its system’s performance to the same level as when the system was trained exclusively on high-cost sensor data.
He said, however, that Toyota will still use a number of sensors, such as lidar and radar, for robotaxis and other autonomous vehicles to be deployed on the road, as it currently appears to be the best, safest way to develop robotaxis.
“But in many, many years, it is entirely possible that camera type technology may catch on and overtake some of the more advanced sensors,” he said.
“The question may be more about when and how long it will take to reach that level of security and reliability. I don’t believe we know this yet.”
Tesla CEO Elon Musk said he could achieve full autonomy with cameras this year after missing out on his previous goals several times.
(Reporting by Hyunju Jin; Editing by Stephen Coates)
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