Artificial Intelligence

Continental uses AI to give vehicle systems human strength

At the CES Asia, Continental will be exhibiting a computer vision platform that uses Artificial Intelligence (AI), neural networks and machine learning to improve advanced sensor technologies.

Continental’s fifth generation of its multi-function camera, which will begin series production in 2020, will use neural networks alongside traditional computer vision processes. Depending on the available hardware, these can be scaled and refined, and using intelligent algorithms they improve the scene understanding such as:

  • Pedestrian intention and gesture classification using neural networks
  • Pedestrian detection using Artificial Intelligence (AI) – large-scale production use in the fifth camera generation

In addition to classic computer vision procedures, the MFC 500 also uses neural networks This allows to control complex situations in road traffic, such as crossing situations with approaching lateral traffic. Hardware and software offer everything from simple object detection to complex scene understanding using neural networks for automated driving.

Artificial Intelligence opens up new possibilities for the computer vision platform. AI algorithms can even correctly detect the intentions of an approaching pedestrian in advance. In this regard, they are similar to an experienced driver who instinctively recognizes such a situation as potentially critical and prepares to brake early. It is about developing a full understanding of the scenario, with the help of which, predictions about the future can be made and reacted to accordingly.

The technology company will begin large-scale production of this system with its fifth camera generation, with the previous camera generation already using deep learning approaches. Methods based on deep learning contribute to the mastering of this complexity on various levels – from vehicle surrounding monitoring to planning the driving strategy to actual control of the vehicle. Deep learning methods are also scalable, which means more data, more computing power, and therefore more performance.

In 2015, Continental set up a central predevelopment department to coordinate the various research activities focusing on artificial intelligence. The technology company is collaborating with NVIDIA, Baidu and many research institutes in this field, including the University of Oxford, the Technische Universität Darmstadt and the Indian Institute of Technology Madras (India). In Budapest (Hungary), the Continental Advanced Driver Assistance Systems business unit opened a competence center for deep machine learning in May 2018. By the end of 2018, the technology company will employ around 400 engineers with special AI expertise worldwide and is looking for more talented people for product and process development in the field of artificial intelligence.

Source: Press Release Continental

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