Most Innovative Application of Computer Vision

September 2019 | Brussels, Belgium

Algolux Wins AutoSens Award for Most Innovative Application of Computer Vision

On Wednesday 18 September 2019, nestled within a spectacular, shimmering sphere in the Atomium Brussels, an international audience came together at the AutoSens Awards to celebrate the very best technical excellence driving the automotive industry forward.

I was thrilled to be on hand to accept the Award on behalf of Algolux, a record 3rd award at AutoSens for the company as voted on by a panel of highly regarded experts in the automotive industry.


Award Category: Most Innovative Application of Computer Vision
Winner: Algolux – Eos robust perception

What the judges said…

“The Algolux approach is very unique and based on deep learning to address problems such as the global optimization problem, including early parts of the imaging pipeline (ISP). The judges felt it provides great value to the market and is a highly innovative application of computer vision and a very worthy winner.”

Part of the international AutoSens vehicle perception conference and exhibition, the Awards, now in their third year, were judged by a world-class panel drawn from OEMs, Tier 1s and Tier 2s, industry organisations and academia to assure a robust process. Notable figures on the judging panel included Mohannad Murad, Technical Specialist, General Motors, Divya Argarwal, Staff Software Engineer, NIO and Robin Jenkin, Principal Image Quality Engineer, NVIDIA.


As always, drive safely and I look forward to your questions and comments!

Dave Tokic, VP Marketing