Aeva’s Post

Transcript

I'm Peter Schmidt, I'm the CEO of Talk Robotics, and it's our vision to drive the future of fright and especially in the autonomous tracking, the Class A. So the really, really big drugs, 40 tons, ��80,000 that you might have seen. And our key partner there's Freightliner, though, that's the flagship, flagship truck that that holds on, on interstates. And the natural habitat for trucks is the Interstate. Yeah, that's where where trucks, they're heavy trucks spent 95%. Of their life, but that's also the segment or where you see it there by far the fierce driver shortage because it's really, really tough job. You're 3, three weeks, 4 weeks away from family. So that's why less and less drivers want to do this. They want to be home every day, do more to local driving. So there's a strong lead for something that drives on interstates at high speeds or so in in America, we are talking about 65 mph, 70 mph. So that's 130 KPH roughly. Our translating, um and that's the problem that we want to solve to come to full autonomy and trucking. And so, yeah, I was, how is that different from what we currently have? Yeah, absolutely. I think, you know, first of all, you know, as we're just hearing, you know, the path of autonomous driving has been going on for many years, right. Like, you know, it's it's been a number of years that folks have been talking about we're going to get autonomy. We going to get, you know, full speed autonomy. And you know, we've gone through the cycle, we've come to the through of disillusionment as it's called. But I think it oftentimes that's where the actual work gets done. And I think where a lot of folks maybe. Underestimate that. So I think we have seen now some of the the key OEM, some of the leading OEM's including Mercedes-Benz, including others that are introducing. Autonomous or automated driving on the highway, but the key thing is that the speed is still very limited, you know, and so we're maybe 3540 mph and what we're all about is pushing this boundary to make it happen at highway speeds. So how do you actually enable highway speed? Autonomy is, is a crucial thing. And with that, together our partners Diamond Truck and and Torque Robotics, we are seeing the commercial vehicle space as a first key clear market entry. That is also a business case wise makes a lot of sense. And obviously we are on the sensing side, hardware, software developing an action sensor technologies that really enable address some of those very challenging use cases to enable that 65 mph highway autonomy with what we call FMCW or frequency modulated technology, which is effectively 4 dimensional lighter. Everybody's familiar Lidar measures distance, but with 40 light or we can actually measure velocity. Very accurately at long ranges and that's what we have seen from OEM partners really helps address some of those challenges, use cases when it comes to seeing things that far distances, small objects and dynamic objects to tackle those use cases. And one of the biggest challenges from a sensing and perception side has been so far that you know today's technology and what's out there simply has not been sufficient to address these use cases and so. You know, initially we've seen OEM deploy initial kind of pilot deployments with what's out there. I think this has been very crucial to actually get technologies such as ladder such as other advanced radar and others onto the onto the road so folks can learn from that. But we're now moving to from the kind of pilot stage to the production stage and that's where next Gen. technology coming to play where it can actually address those challenges, long range, distance, velocity, all that. So I don't know if you want to. Yeah, I think you're very spot on for, especially for a truck which which is really heavy and has a lot of kinetic energy. There's almost no error margin. So you want to really exactly know what's in front of you or what's coming from behind. And that's why sensors like naive or sensors so important because you need to really have an ultra precise understanding of your of your environment so that you can react to. And, and it's a slow moving, it's a vehicle that can't react like a car. So you really need to plan ahead. And that I think that that's the key challenge to really see farther with high precision. And Peter, when do you expect that we will have solved these issues? When will we see? The product of the year designing is there to be scaled in year 27 and scaled. This does not mean 1010 prototype trucks that do something spectacular. That means you can go to a Freightliner dealer and buy a Cascadia truck with a talk virtual driver.