Continental will open a Deep Machine Learning Competence Center in Budapest in May 2018.
Artificial intelligence is a core competency in the development of automated driving. We are expanding our expertise in the area of Deep Machine Learning to enable automated driving and to support our Vision Zero – a future without accidents.—Karl Haupt, head of Continental’s Advanced Driver Assistance Systems business unit
The Budapest Competence Center for Deep Machine Learning will be integrated in an existing Global Software Factory network with other development locations inside the Advanced Driver Assistance Systems business unit. The focus topic in the new site will be Deep Machine Learning for embedded and safety-critical real-time software applications.
The Advanced Driver Assistance Systems business unit has been using Machine Learning and neural networks for many years. Due to massively increased computing power in the new camera platform MFC 500 (multi-function camera), Continental is able to use deep neural networks on a large scale. Complex traffic situations can be captured more precisely. A comprehensive understanding of the scenes is a big step closer towards automated driving.
Intelligent vehicles need to have an understanding of the intended actions of all of the surrounding traffic. In complex driving scenarios, decisions need to be taken on the basis of not just one object or one sensor, and not just in environments that can be predicted very well. Automated Driving needs to work safely at all times and under all circumstances. This complexity can become difficult to handle, e.g. in terms of design, implementation and test.
Deep Machine Learning based methods will add value to help with the handling of this complexity on the different levels—from environmental sensing through driving strategy planning to actual vehicle control. Deep Learning methods are scalable, which means more available data and more computing power will lead to more performance.