Zhenzhu (Jinzhu) Wu

speaker

420 appearances 1 recordings 1 series first heard Jul 2026 last heard 13 Jul

Zhenzhu (Jinzhu) Wu’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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Decoder with Nilay Patel · Yes, even Nvidia's head of automotive is fighting for compute · 13 Jul 2026 podcast

So we are looking, we're really trying to balance between the cost and what we can do.

We are looking at what we call the,

you know, sufficient necessary kind of sensor set to achieve high level of autonomy.

So in Hyperion 10, for example, we really offer two versions.

One is the base, which is mostly camera, 10 camera, three radar, no LiDAR.

And, you know, it's a very cost effective way to build a basically kind of L2++ ADAS kind of vehicle.

And on the other hand, for the high end, what do we call the Hyperion High,

We provide basically the sensor set required, which have like, I think, 14 camera and three lighters, and basically seven radars essentially to be able to drive, have enough sensor redundancy to be able to drive L4.

We also provide, you need the ECU redundancy as well.

You need to basically kind of our next generation, well, actually to be more precise, the current generation SOAR-based kind of computer platform.

But just imagine basically you have a car really can drive by itself.

We believe with this sensor set and this computer basically architecture, we can get to that level of autonomy, which can basically justify the cost.

Short answer is yes.

We believe that LiDAR is an important sensor to provide the safety and redundancy required for level 4 autonomy.

But on the other hand, it's difficult to say it's 100% necessary.

We believe this is a very much feasible path to, based on, as I said, high parent and high sensor configuration, to get to really high level of both urban and highway level 4 capability.

On the other hand, theoretically, people can prove out with massive mileage, essentially, to say that

LIDAR may not be necessary, but it will come with the ODD limitation essentially.

ODD is basically applicable, basically domain, you can deploy the technology.

Obviously, we have done quite a bit of analysis on this.

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