Tag: Perception

Innoviz Selected by One of the Largest Global Vehicle..

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Innoviz Selected by One of the Largest Global Vehicle Groups to be its Direct LiDAR Supplier for Series Production Vehicles; Increases Forward-Looking Order Book by $4 Billion Innoviz to Provide InnovizTwo LiDAR Sensor and Perception Software TEL AVIV, Israel , May 2, 2022 /PRNewswire/ — Innoviz Technologies Ltd. (NASDAQ: INVZ) (the “Company” or “Innoviz”), a leading provider of high-performance LiDAR sensors and perception software, announced today […]

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Velodyne + ROBORACE Autonomous Racing Series…

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Velodyne Lidar Provides Perception Technology for ROBORACE Autonomous Racing Series Velodyne Official Lidar System Provider in Next Generation ROBORACE Vehicles SAN JOSE, Calif., December 17, 2021–(BUSINESS WIRE)–Velodyne Lidar, Inc. (Nasdaq: VLDR, VLDRW) today announced ROBORACE, the world’s first autonomous car racing series, has selected Velodyne as the official lidar sensor provider in its next generation vehicles. ROBORACE will use Velodyne‘s solid-state Velarray H800 sensors […]

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Adaptive Perception Software for Smart Cities

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Cron AI Partners with Innoviz to Deliver LiDAR-based Adaptive Perception Software for Smart Cities Partnership between 3D data-edge perception platform developer and leading LiDAR provider set to plug the gap between 3D sensing and real-world intelligent transport, smart spaces and security applications DERBY, UK and TEL AVIV, ISRAEL, June 8, 2021: Adaptive 3D edge perception platform company Cron AI and Innoviz Technologies (Nasdaq: […]

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Innoviz Announces Another Breakthrough in LiDAR

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Innoviz Announces Another Breakthrough in LiDAR Technology – 30X Performance Improvement and Embedded Perception Software Revealing the new InnovizTwo specifications, the Company sets a new transparency standard; InnovizTwo scales in performance and cost and is designed to exceed customer expectations and democratize autonomous driving TEL AVIV, Israel, April 13, 2021 – Innoviz Technologies Ltd.(Nasdaq: INVZ), a leading provider of high-performance […]

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