Deep learning firm Algolux wins AutoSens startup award

Share this on social media:

Canadian machine learning company, Algolux, has won the ‘Most exciting startup’ award at the AutoSens show in Brussels on 20 September.

Algolux develops machine learning algorithms for vision systems, including those used in autonomous vehicles.

Speaking to the AutoSens conference organisers before the event, Felix Heide, CTO and co-founder of Algolux, said that both imaging and perception need to be much more robust for autonomous driving, and camera-based systems are central to that. He noted that there are up to eight cameras in today’s most advanced vehicles, and this will grow to more than a dozen per vehicle in the near future.

One problem is how these systems are built and tuned. ‘Current pipeline approaches propagate errors from each stage to the next, and the stages are tuned independently and subjectively. So, even the most advanced computer vision stacks perform poorly under difficult imaging scenarios, otherwise known as the real world,’ Heide said.

‘I think we stood out because we’re addressing both of these major issues by developing AI to objectively train imaging and perception stacks for optimal image quality and next-generation levels of computer vision performance. This also aligns very well with the IEEE P2020 working group, which we participate on, to establish objective metrics for automotive image quality for both viewing and computer vision, and reinforces the importance of our work,’ he added.

The AutoSens awards were judged by an expert panel drawn from OEMs, Tier 1s and Tier 2s, industry organisations and academia.

One of Algolux’s products is Crisp-ML, which can combine large real-world computer vision training data sets with standards-based metrics and chart-driven key performance indicators to improve the performance of a vision system.

Using deep learning, the company has also developed its Camera-Aware Neural Architecture, which integrates the image formation model (optics, sensor) with the high level computer vision model.

Related article:

Sensing the road ahead - Rob Ashwell looks at how vision fits into the battery of sensors onboard autonomous vehicles

Company: 

Related news

Recent News

12 October 2020

The digital event will be held on 11 November when the cancelled Vision show would have taken place. Young vision companies have until 28 October to apply

29 September 2020

Messe München now plans to hold an exhibition in early summer 2021 as a bridge to the 2022 show

23 September 2020

The software will help engineers develop event-based vision systems, an imaging method that records changes in a scene rather than capturing an image frame by frame

14 September 2020

Messe Stuttgart has set a date of 5 to 7 October 2021 for the Vision show, which was cancelled because of the coronavirus pandemic. The show will be held in parallel with Motek