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AI Solid-State LiDAR System

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AI Solid-State LiDAR System

・Applicable to mixed flow scenes under high-speed driving
・Weather-resistant, high cost performance
・Accuracy of 90% , surpassing internationally renowned algorithms.
・The first domestically developed advanced Solid-State LiDAR

The first domestic automotive AI Solid-State LiDAR System in Taiwan,not only features the first domestically developed advanced Solid-State LiDAR with but also boasts exclusively developed high-yield large-area MEMS micro-mirror technology. With It offers weather-resistant and high cost performance advantages, it specifically designed an AI-specific database for Taiwan's unique road conditions, and analyzed whether the objects ahead are pedestrians, scooters, or vehicles, achieving an accuracy of 90%, surpassing internationally renowned algorithms.

Industrial Technology Research Institute

ITRI is a world-leading applied technology research institute with more than 6,000 outstanding employees. Its mission is to drive industrial development, create economic value, and enhance social well-being through technology R&D. Founded in 1973, it pioneered in IC development and started to nurture new tech ventures and deliver its R&D results to industries. ITRI has set up and incubated companies such as TSMC, UMC, Taiwan Mask Corp., Epistar Corp., Mirle Automation Corp., and Taiwan Biomaterial Co.

Contact

  • Name:Ady Hsu

  • Phone:(03)591-3270

  • Address:195, Sec. 4, Chung Hsing Rd., Chutung, Hsinchu, Taiwan 31040, R.O.C.

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Other Information

  • Pavilion:Innovation Pilot Discovering Technology Treasures IA02

  • Affiliated Ministry:Department of Industrial Technology,MOEA

  • Application Field:Information & Communications、Machinery & System、Life Application

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Website & Links

  • Technology maturity:Trial production

  • Exhibiting purpose:Technology transactions、Product promotion、Display of scientific results

  • Trading preferences:Technical license/cooperation、Exclusive license/assignment、New products development、Non-exclusive license、Negotiate by self

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