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Continental and AEye Be a part of DRIVE Sim Ecosystem

Autonomous automobile sensors require the identical rigorous testing and validation because the automobile itself, and one simulation platform is as much as the duty.

International tier-1 provider Continental and software-defined lidar maker AEye introduced this week at NVIDIA GTC that they may migrate their clever lidar sensor mannequin into NVIDIA DRIVE Sim. The businesses are the most recent to affix the intensive ecosystem of sensor makers utilizing NVIDIA’s end-to-end, cloud-based simulation platform for know-how growth.

Continental provides a full suite of cameras, radars and ultrasonic sensors, in addition to its just lately launched short-range flash lidar, a few of that are included into the NVIDIA Hyperion autonomous-vehicle growth platform.

Final 12 months, Continental and AEye introduced a collaboration during which the tier-1 provider would use the lidar maker’s software-defined structure to supply a long-range sensor. Now, the businesses are contributing this sensor mannequin to DRIVE Sim, serving to to convey their imaginative and prescient to the trade.

DRIVE Sim is constructed on the NVIDIA Omniverse platform for connecting and constructing customized 3D pipelines, offering bodily primarily based digital twin environments to develop and validate autonomous autos. DRIVE Sim is open and modular — customers can create their very own extensions or select from a wealthy library of sensor plugins from ecosystem companions.

Along with offering sensor fashions, companions use the platform to validate their very own sensor architectures.

By becoming a member of this wealthy group of DRIVE Sim customers, Continental and AEye can now quickly simulate edge instances in various environments to check and validate lidar efficiency.

A Lidar for All Seasons

AEye and Continental are creating HRL 131, a high-performance, long-range lidar for each passenger automobiles and industrial autos that’s software program configurable and may adapt to numerous driving environments.

The lidar incorporates dynamic efficiency modes the place the laser scan sample adapts for any automated driving utility, together with freeway driving or dense city environments in all climate situations, together with direct solar, evening, rain, snow, fog, mud and smoke. It incorporates a vary of greater than 300 meters for detecting autos and 200 meters for detecting pedestrians, and is slated for mass manufacturing in 2024.

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The simulated Continental HRL131 long-range lidar sensor, constructed on AEye’s 4Sight clever sensing platform, working in NVIDIA DRIVE Sim.

With DRIVE Sim, builders can recreate obstacles with their precise bodily properties and place them in advanced freeway environments. They’ll decide which lidar efficiency modes are appropriate for the chosen utility primarily based on uncertainties skilled in a selected state of affairs.

As soon as recognized and tuned, efficiency modes may be activated on the fly utilizing exterior cues akin to velocity, location and even automobile pitch, which might change with loading situations, tire-pressure variations and suspension modes.

The flexibility to simulate efficiency traits of a software-defined lidar mannequin provides even larger flexibility to DRIVE Sim, additional accelerating sturdy autonomous automobile growth.

‘’With the scalability and accuracy of NVIDIA DRIVE Sim, we’re capable of validate our long-range lidar know-how effectively,’’ mentioned Gunnar Juergens, head of product line, lidar, at Continental. ‘’It’s a sturdy device for the trade to coach, check and validate secure self-driving options’’



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