LeddarTech presents its award-winning sensor fusion and perception…

LeddarTech presents its award-winning sensor fusion and perception…

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QUEBEC CITY, March 8, 2023 (GLOBE NEWSWIRE) — LeddarTech®a world leader in providing the most flexible, robust, and accurate ADAS and AD software technology, is pleased to announce its participation in Automotive Tech AD Berlin at the Titanic Chaussee Hotel Berlin. LeddarTech is Competence Partner of Tech.AD and exhibits its technology; Pierre Olivier, CTO of LeddarTech, will act as moderator.

LeddarTech’s LeddarVision Showcase (booth # 6)

LeddarVision™ is a high-performance, low-cost, hardware-independent, low-level sensor fusion and perception solution for ADAS and AD applications in the automotive and off-road industries.

Experience the Award winning LeddarVision Interactive Dashboard demonstration

This dashboard allows delegates to see the exceptionally high performance of the LeddarVision software at different levels of autonomy in different scenarios such as: B. extreme weather conditions to experience.

Arrange a meeting in advance B. for product demonstrations, interviews with media and industry analysts or investor meetings.

Catch the European unveiling of LeddarTech’s latest products!

The LeddarVision front view (LVF) family of automotive software products addresses the development challenges of Tier 2/2+ ADAS applications, such as: These two distinct products are comprehensive, low-level fusion and perception software stacks that optimally combine sensor modalities for Level 2/2+ ADAS applications and achieve a 5-star NCAP 2025/GSR 2022 rating.

  • LeddarVision Front (entry level) (LVF-E): This product extends the performance limits, doubles the effective range of the sensors and enables a solution with only three sensors for the first time. Low-cost sensing coupled with efficient implementation on the TDA4L platform achieves the lowest system cost for entry-level L2/L2+ ADAS.
  • LeddarVision Front (high end) (LVF-H): With extended sensor configuration on 1V5R…

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