NVIDIA DRIVE - Autonomous Vehicle Development Platforms

NVIDIA DRIVE™ platforms include an in-vehicle computer (DRIVE AGX) and complete reference architecture (DRIVE Hyperion™), as well as data center-hosted simulation (DRIVE Constellation™) and deep neural network (DNN) training platforms (DGX™). These platforms also include rich software developer kits (SDKs) to accelerate autonomous vehicle (AV) development.

DRIVE AGX Platform

In-Vehicle AI Computer

Developer Kit and software

Accelerate development of AV applications with DRIVE AV, DRIVE IX, and the DriveWorks SDK.

Accelerate performance of perception, localization, planning, and mapping algorithms using hardware accelerators.

Integrate new vehicle sensors.

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DRIVE Hyperion

Car Reference Architecture

DRIVE AGX and sensor suite

Experience and evaluate included applications (DRIVE AV and DRIVE IX) for autonomous driving, driver monitoring, and visualization.

Develop new applications using published APIs.

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DRIVE Constellation

Simulation Platform

Simulation server and DRIVE AGX

Simulate real world conditions, including sensors, traffic, vehicle dynamics, and scenarios in a virtual world to validate and verify AV algorithms.

Test and validate AV algorithms with hardware in the loop.

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NVIDIA DGX

DNN Training Platform

DGX and Deep Learning SDK

Train neural networks for AV perception.

DGX systems are designed to experiment faster and train larger neural network models.

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Safety

NVIDIA is transforming the AV industry with technology that improves road safety, increases transportation efficiency, and opens up mobility services for all. But to us, safety is more than just a benefit of an autonomous future. It’s a principle that’s incorporated into every step of our development process—from design and production to the operation of self-driving vehicles.

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