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Algolux Wins Top AI Award For ADAS and Autonomous Vehicles at Tech.AD Europe 2020 Conference

Algolux, the automotive industry's leading provider of robust and scalable perception solutions, has won the top award at the prestigious 2020 Tech.AD Europe Conference.


News provided by

Algolux

Apr 22, 2020, 10:00 ET

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Algolux Wins Top AI Award For ADAS and Autonomous Vehicles at Tech.AD Europe 2020 Conference
Algolux Wins Top AI Award For ADAS and Autonomous Vehicles at Tech.AD Europe 2020 Conference

MONTREAL, April 22, 2020 /PRNewswire-PRWeb/ -- Algolux, the automotive industry's leading provider of robust and scalable perception solutions, has won the top award at the 2020 Tech.AD Europe Conference. Algolux's Eos Embedded Perception Software was recognized as the Most Innovative Use of Artificial Intelligence and Machine Learning in the Development of Autonomous Vehicles and Respective Technologies at the awards ceremony.

Computer vision is fundamental to ADAS and autonomous vehicles but today's approaches still struggle in harsh imaging conditions, such as low light and adverse weather. This has been shown in numerous industry studies and incident reports, such as in the recent Automatic Emergency Braking with Pedestrian Detection report by the AAA*.

This acknowledgment by the automotive community further proves that the Eos Embedded Perception Software from Algolux addresses the mission-critical requirement of robust perception for safe ADAS and autonomous vehicles.

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Algolux's Eos Embedded Perception Software leverages deep learning to uniquely address the robustness and scalability limitations of today's vision system architectures. This enables a massive improvement in robustness for all conditions, both good and challenging, and allows the stack to be quickly tailored to any camera lens/sensor combination vs. state-of-the-art.

"Algolux was identified as a finalist from a large pool of nominees providing autonomous vehicle technologies and was presented with the first-place award at the Tech.AD Europe Award 2020 ceremony," said Daniel Wolter, CEO & Co-Founder of we.CONECT, organizers of the Automotive Tech.AD Conferences. "We congratulate Algolux on this acknowledgment by the automotive community on the impact Eos can provide to improve the accuracy of perception systems and further increase the safety of vehicles."

"We are honored to win the Automotive Tech.AD Award for the Most Innovative Use of Artificial Intelligence & Machine Learning in the Development of Autonomous Vehicles & Respective Technologies for our Eos Embedded Perception software. This acknowledgment from industry experts once again validates that our novel application of artificial intelligence addresses the fundamental challenge of accurate perception under the most difficult operating conditions," said Allan Benchetrit, Algolux President and CEO. "The award highlights the amazing work from our team and further proves that Algolux's computer vision technology can tackle the mission-critical requirement of safe and robust perception for ADAS and autonomous vehicles."

About Algolux

Algolux's award-winning AI technologies enable highly robust vision systems. We help vision systems perceive better than any alternative, especially in harsh conditions such as low light, adverse weather, and dusty environments. Computer vision is at the heart of ADAS and autonomous cars and is leading the next wave of market growth and societal impact. Developed by an industry-recognized research team, our patented deep learning technologies address the complexity of optimizing imaging and vision systems to improve vehicle safety while reducing cost, time-to-market, and scalability risks.

Learn more at https://www.algolux.com.

For the latest news on Algolux, follow us on LinkedIn and Twitter.

© Copyright 2020 Algolux, Inc. Algolux, the Algolux logo, Eos, Atlas, and other designated brands included herein are trademarks of Algolux in the United States and other countries. All other trademarks are the property of their respective owners.

*AAA October 2019 https://www.aaa.com/AAA/common/aar/files/Research-Report-Pedestrian-Detection.pdf

SOURCE Algolux

Related Links

http://www.algolux.com

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