San Francisco—Toyota Motor Corp unit Woven Planet is following the lead of Tesla Inc in trying to advance self-driving technology with low-cost cameras. Woven Planet told Reuters it is able to use 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. Gathering diverse driving data using a massive fleet of cars is critical to developing a robust self-driving car system, but it is costly and not scalable to test autonomous vehicles only with expensive sensors, it said. Woven Planet still uses data collected from other sensors like radars and lidars for training as well as long-term deployment. Tesla has been betting on cameras to collect data from over 1 million vehicles on the road to develop its automated driving technology, while Alphabet’s Waymo and other self-driving car firms added expensive sensors like lidars to …