We're able to use rather a cheap censors, because we're playingi in an industry that doesn't have a tolerance for tens of thousands of additional censors and technologies like millimeter wave and light r and radar. And so ah, beyond that, if you go into a city that has city specific infer structure that might be tricking our system, it's just a function of training additionally on that specific infer structure. We can do that rapidly, right, without meeting the months of of kind of establishing a ground truth or, you know, defining what is what on every single street. Right? Nd, again, the three categories were, after our street sidewalk and bike lane
If the last decade or so of mobility technology tells us anything, it's that putting a camera on a vehicle unlocks a whole world of new opportunities. Our guest this week, Drover AI co-founder and Chief Business Officer Alex Nesic, did precisely that with on-demand scooters and he joins the show to explain the new possibilities his company has unleashed. From regulatory compliance to safety-enhancing ADAS-like features, we discuss the ways that a camera can address some of the biggest challenges that shared scooters present.