Nvidia software to drive Locomation’s human-guided autonomous relay convoy tech

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Locomation Automated Convoy
Locomation plans to use Nvidia’s autonomous vehicle platform in its ARCTM software for human-guided relay convoys. Locomation has sealed a deal to deliver 1,120 AI-equipped trucks to Missouri-based Wilson Logistics in 2022. (Courtesy: Locomation)

PITTSBURGH — Locomation, a provider of autonomous trucking technology, plans to leverage Nvidia Drive AGX Orin autonomous vehicle computing platform for the commercialization of self-driving trucks starting in 2022.

Under a recent agreement with Missouri-based Wilson Logistics, Locomation’s Autonomous Relay Convoy (ARCTM) is the first autonomous driving system slated for direct commercialization. ARCTM, the first in a series of planned product rollouts by Locomation, allows one driver to pilot a lead truck equipped with technology augmentation while a fully autonomous follower truck operates in tandem. Under the terms of the deal, Wilson Logistics will begin to take delivery of 1,120 Locomation-equipped truck cabs starting in 2022.

“We’re moving rapidly toward autonomous trucking commercialization, and Nvidia Dive presents an intriguing solution for providing a robust, safety-forward platform for our team to work with,” said Çetin Meriçli, CEO and co-founder of Locomation. “This has the potential to enhance our process significantly and we look forward to working closely with the Nvidia team.”

Locomotion’s trucks will employ Nvidia Drive AGX Orin, a highly advanced software-defined platform for autonomous vehicles. The system features the new Orin system-on-a-chip (SoC), which delivers more than 200 trillion operations per second.

“As demand for goods continues to rise, so has the need to transport these goods as quickly and efficiently as possible. Locomation’s unique, commercialization-focused development efforts in autonomous trucking, backed by the high performance of the Nvidia Orin AV processor, will help improve safety and quality of life for truckers and improve overall cost efficiency,” said Rishi Dhall, vice president of autonomous vehicles for Nvidia.

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