At the CES Asia, Continental will be exhibiting a computer vision platform that uses 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 involving the classification of the intentions and gestures of pedestrians.
Deep machine learning as a virtual driving school
Just like humans, AI systems have to learn new skills, humans in a driving school, AI systems using “supervised learning.” To do this, the software analyzes huge amounts of data to derive successful and unsuccessful strategies for action and later apply this learned knowledge in the vehicle. This essential ability of the algorithms to learn is continually being developed. For advanced driver assistance systems, data suitable for this kind of learning is available in the form of recorded radar and camera signals from real driving situations, for example. This huge database is a key component of the further development of AI at Continental.
For example, the company relies on AI in its product development departments to perform extremely complex tasks such as pedestrian detection to learn the concrete parametrization of this design from huge quantities of data. This requires the creation of a system that combines and parametrizes the data input i.e. the millions of pixels in a camera image used for pedestrian detection. The second step involves enabling this system to search every combination of the parameters that solves the problem.
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.
Expansion of global AI activities at Continental
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.