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ADAS & Autonomous Vehicle International
Simulation

rFpro introduces AV Elevate simulation solution for AV development

Adithya GopalBy Adithya GopalOctober 9, 20242 Mins Read
rFpro introduces AV elevate simulation solution for autonomous vehicles
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AV Elevate is a fully integrated simulation solution designed to accelerate the development of autonomous vehicles.

rFpro states that it is “the industry’s most advanced platform to provide both closed-loop perception testing and the creation of engineering-grade synthetic training data”. The solution also enables the tuning of sensors, the training of perception and control algorithms and testing of the full AV technology stack.

“AV Elevate is a game-changing simulation platform, it is the most advanced solution to enable the complete AV technology stack to be tuned, trained and tested,” said Matt Daley, technical director at rFpro.

To create AV Elevate, rFpro integrated several new technologies to its existing platform. These include lidar, radar and camera models, a new Simulation Manager to simply define the full vehicle sensor suite and create base test scenarios with thousands of iterations.

The simulation solution also comes with a comprehensive library of standard sensor models alongside digital twins of commercially available sensors. This enables development to progress before a physical sensor exists, or enables OEMs to benchmark technologies against their competition.

Typically, AV developers manually annotate each frame of video; AV Elevate automates this process using engineering-grade synthetic training data, making it 100 times faster and 150 times more cost-effective. It is also completely error-free, according to rFpro.

“The purpose of AV Elevate is to help OEMs reduce their reliance on testing and data collection on public roads to significantly cut costs and accelerate development,” said Daley. “We believe our fully integrated simulation solution is the most accurate available and this gives manufacturers the confidence needed to make that move.”

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Previous ArticleTNO considers whether self-driving cars are truly ready for the road
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