Toyota, through its subsidiary Woven Planet, is working to progress the development of autonomous vehicle technology by employing low-cost cameras for the collection of data, according to Reuters. According to Woven Planet, the ability to …
Toyota, through its subsidiary Woven Planet, is working to progress the development of autonomous vehicle technology by employing low-cost cameras for the collection of data, according to. According to Woven Planet, the ability to use low-cost cameras is a breakthrough that the manufacturer hopes will reduce costs.
The gathering of diverse driving data from a large fleet of vehicles is crucial to developing a robust self-driving car system, however the exercise is costly and not scalable to use expensive sensors in the testing of the autonomous vehicles, Woven Planet told“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.
A large proportion of data coming from the lower-cost cameras increased the autonomous driving system’s performance to a level similar to when the system was being trained exclusively on data from more expensive sensors, Woven Planet said, and the firm uses cameras which are 90% cheaper than the sensors used previously, and which can be easily installed in fleets of passenger vehicles, according toThat said, Toyota will continue to use sensors for lidar and radar for robotaxis and other...
“Conventional” autonomous vehicles have at least 3 Lidars. At 90% less you can have 9-10 cameras for every Lidar. For AI training purposes only and with the right algorithm, a 5-car fleet with 15 Lidars produces much less image data for the AI to sift through, compared to 20 cars with 10 cameras each. Oh, and cameras work in the rain and fog. Lidars will map literally everything in sight, including raindrops and thick fog.
This is why “Tesla Vision” is one of – if not the most advanced machine vision system for autonomous vehicles. Lidars are in essence 3D cameras. They map the surrounding with bouncing laser lights and plot it in 3D very accurately for the AI to look at. Yet our pair of eyes see 3D just as well and we don’t shoot lasers out of them to perceive depth and distance. Our brains do all the work.
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