2020 by the Numbers

At last, 2020 is coming to an end. It was an unprecedented year that tested our collective resilience. But thanks to our great partners and customers, we were able to adjust smoothly to the new normal and are growing at a rapid pace – and hiring for multiple engineering positions.

But first, some exciting news to close out the year:

• Our co-founder and CTO Felix Heide was named Young Engineer of the Year at the AutoSens Awards for his contributions to the automotive industry.
• In case you missed it, we have joined Partners for Automated Vehicle Education (PAVE) to help raise public awareness about the real-world challenges that ADAS and Autonomous Vehicle perception systems face in difficult driving conditions, and the advanced technologies applied to address them.

For the 4th time in a row, Algolux won an AutoSens Award. This time, our co-founder and CTO Felix Heide was named Young Engineer of the Year. The award recognizes an engineer under the age of 35, who is judged to have demonstrated great achievement and leadership within the ADAS and autonomous vehicle industry and research community. The jury included top technical experts, representative of the full supply chain from OEMs to academia.

And back in the Spring, our 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 2020 Tech.AD Awards.

From CES to AutoSens, Tech.AD and Auto.AI, as well as the Embedded Vision Summit, 2020 was a busy year for us with 14 live presentations! And while we wish we could have met more people at those events, we were still able to connect virtually with many industry leaders.

And if you couldn’t catch us “live” in 2020, here’s one of our presentations from Auto.AI Europe where our VP Marketing and Strategic Partnerships Dave Tokic demonstrates how our novel embedded perception stack outperforms public and commercial vision systems (including Tesla’s latest OTA Model S Autopilot and Nvidia Driveworks).

Our R&D team published no fewer than 9 research papers. 6 of them were accepted at CVPR – including 3 orals (acceptance rate < 5%):

Our R&D team published no fewer than 9 research papers. 6 of them were accepted at CVPR – including 3 orals (acceptance rate < 5%):

• SIGGRAPH Asia 2020
  • Learned Feature Embeddings for Non-Line-of-Sight Imaging and Recognition
  • Learned Hardware-in-the-loop Phase Retrieval for Holographic Near-Eye Displays
• CVPR 2020
  • Learning Rank-1 Diffractive Optics for Single-shot High Dynamic Range Imaging (Oral)
  • Hardware-in-the-loop End-to-end Optimization of Camera Image Processing Pipelines (Oral)
  • Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar
  • Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather
  • Single-shot Monocular RGB-D Imaging using Uneven Double Refraction (Oral)
  • Defending Against Universal Attacks Through Selective Feature Regeneration
  • Optica 2020
  • Deep-inverse correlography: towards real-time high-resolution non-line-of-sight imaging

If you would like to join our research team, we are hiring!

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Our most-read blog post this year was about Tesla’s Highway Autopilot. In that article, we compared Tesla’s accuracy with Eos’ – and demonstrated the robustness of our solution.