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2970: How LeddarTech is Leading the Way in ADAS and Autonomous Driving

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Контент предоставлен Neil C. Hughes. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Neil C. Hughes или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.

In this episode of Tech Talks Daily, we have the pleasure of speaking with Frantz Saintellemy, a key figure at LeddarTech, a company that is at the forefront of revolutionizing the automotive industry. LeddarTech’s software is making waves by helping auto manufacturers deliver safer vehicles through advanced driver assistance systems (ADAS) and autonomous driving (AD). By unifying all sensor data, LeddarTech’s solution provides a more accurate and actionable snapshot of a vehicle's environment, significantly enhancing safety and performance.

Frantz Saintellemy shares insights into how LeddarTech’s sensor fusion and perception software, which is both sensor and processor agnostic, is setting new standards in the industry. This innovative technology allows automakers the flexibility to choose their hardware, reduces costs, and delivers improved performance across a range of vehicle models from entry-level to premium. With over seven years of experience and a robust portfolio of 150 patents (80 granted), LeddarTech has a strong early mover advantage in this fast-growing market, expected to reach $42 billion by 2030.

Having recently gone public on NASDAQ, LeddarTech is poised for significant growth. Frantz discusses the company’s strategic priorities, including new software releases, expanding partnerships, and converting OEM projects into major design wins. Join us as we delve into the challenges and opportunities in the ADAS and AD market, and discover how LeddarTech is driving the future of safe and efficient driving.

  continue reading

2032 эпизодов

Artwork
iconПоделиться
 
Manage episode 430059963 series 80936
Контент предоставлен Neil C. Hughes. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Neil C. Hughes или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.

In this episode of Tech Talks Daily, we have the pleasure of speaking with Frantz Saintellemy, a key figure at LeddarTech, a company that is at the forefront of revolutionizing the automotive industry. LeddarTech’s software is making waves by helping auto manufacturers deliver safer vehicles through advanced driver assistance systems (ADAS) and autonomous driving (AD). By unifying all sensor data, LeddarTech’s solution provides a more accurate and actionable snapshot of a vehicle's environment, significantly enhancing safety and performance.

Frantz Saintellemy shares insights into how LeddarTech’s sensor fusion and perception software, which is both sensor and processor agnostic, is setting new standards in the industry. This innovative technology allows automakers the flexibility to choose their hardware, reduces costs, and delivers improved performance across a range of vehicle models from entry-level to premium. With over seven years of experience and a robust portfolio of 150 patents (80 granted), LeddarTech has a strong early mover advantage in this fast-growing market, expected to reach $42 billion by 2030.

Having recently gone public on NASDAQ, LeddarTech is poised for significant growth. Frantz discusses the company’s strategic priorities, including new software releases, expanding partnerships, and converting OEM projects into major design wins. Join us as we delve into the challenges and opportunities in the ADAS and AD market, and discover how LeddarTech is driving the future of safe and efficient driving.

  continue reading

2032 эпизодов

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