{"id":1031,"date":"2021-10-15T08:38:20","date_gmt":"2021-10-15T08:38:20","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2021\/10\/15\/looks-can-be-perceiving-startups-build-highly-accurate-perception-software-on-nvidia-drive\/"},"modified":"2021-10-15T08:38:20","modified_gmt":"2021-10-15T08:38:20","slug":"looks-can-be-perceiving-startups-build-highly-accurate-perception-software-on-nvidia-drive","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2021\/10\/15\/looks-can-be-perceiving-startups-build-highly-accurate-perception-software-on-nvidia-drive\/","title":{"rendered":"Looks Can Be Perceiving: Startups Build Highly Accurate Perception Software on NVIDIA DRIVE"},"content":{"rendered":"
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For autonomous vehicles, what\u2019s on the surface matters.<\/p>\n

While humans are taught to avoid snap judgments, self-driving cars must be able to see, detect and act quickly and accurately to operate safely. This capability requires a robust perception software stack that can comprehensively identify and track the vehicle\u2019s surrounding environment.<\/p>\n

Startups worldwide are developing these perception stacks, using the high-performance, energy-efficient compute of NVIDIA DRIVE AGX <\/a>to deliver highly accurate object detection to autonomous vehicle manufacturers.<\/p>\n

The NVIDIA DRIVE AGX platform processes data from a range of sensors \u2014 including camera, radar, lidar and ultrasonic \u2014 to help autonomous vehicles perceive the surrounding environment, localize to a map, then plan and execute a safe path forward. This AI supercomputer enables autonomous driving, in-cabin functions and driver monitoring, plus other safety features \u2014 all in a compact package.<\/p>\n

Hundreds of automakers, suppliers and startups are building self-driving vehicles on NVIDIA DRIVE AGX, which is why perception stack developers across the globe have chosen to develop their solutions on the AI platform.<\/p>\n

Development From Day One<\/b><\/h2>\n

NVIDIA DRIVE is the place to start for companies looking to get their perception solutions up and running.<\/p>\n

aiMotive<\/b>, a self-driving startup based out of Hungary, has built a modular software stack, called aiDrive, that delivers comprehensive perception capabilities for automated driving solutions.<\/p>\n

The company first began building out its solution on a compute platform with NVIDIA DRIVE in 2016. With high-performance, energy-efficient compute, aiDrive can perform perception using mono, stereo and fisheye cameras, as well as fuse data from radar, lidar and other sensors for a flexible and scalable solution.<\/p>\n

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<\/a>

aiDrive fuses data from vehicle sensors for flexible, scalable perception.<\/figcaption><\/figure>\n

\u201cWe\u2019ve been using NVIDIA DRIVE from day one,\u201d said P\u00e9ter Kov\u00e1cs, aiMotive\u2019s senior vice president of aiDrive. \u201cThe platforms work turnkey and support easy cross-target development \u2014 it\u2019s also a technology ecosystem that developers are familiar with.\u201d<\/p>\n

Stradvision<\/b>, a startup based in South Korea, was formed by perception specialists in 2014 to build advanced driver assistance systems at scale. By developing on NVIDIA DRIVE AGX, the company has deployed a robust perception deep neural network for AI-assisted driving platforms.<\/p>\n

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<\/a>

Stradvision\u2019s robust perception solution operates in poor weather conditions, such as snow.<\/figcaption><\/figure>\n

The DNN, known as SVNet, is one of a few networks that meet the accuracy and computational requirements of production vehicles.<\/p>\n

Performance at Every Level<\/b><\/h2>\n

Even for lower levels of autonomy, such as ADAS or AI-assisted driving, a robust perception stack is critical for safety.<\/p>\n

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<\/a>

PhantomVision uses cameras around the vehicle for complete, 360-degree coverage.<\/figcaption><\/figure>\n

Silicon Valley startup Phantom AI <\/b>has leveraged years of automotive and tech industry experience to develop an intelligent perception stack that can predict object motion. The computer vision solution, known as PhantomVision, covers a 360-degree view from the vehicle in a combination of front-, side- and rear-view cameras.<\/p>\n

The real-time detection and target tracking on the bird\u2019s-eye view provides an accurate motion estimate of road objects. The high-performance processing of DRIVE AGX enables the software to perform live perception functions.<\/p>\n

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<\/a>

CalmCar\u2019s perception solution emphasizes safety, with automotive-grade compute at its core.<\/figcaption><\/figure>\n

With the mission of creating a safer road environment for all users, Chinese startup CalmCar<\/b> has built a multi-camera active surround view perception system. With the automotive-grade NVIDIA DRIVE Xavier<\/a> at its core, CalmCar\u2019s solution enables Level 2+ driving<\/a>, valet parking and mapping.<\/p>\n

By developing comprehensive solutions on NVIDIA DRIVE, these startups are delivering accurate and robust perception to AI-assisted and autonomous vehicles around the world.<\/p>\n

\u00a0<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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