DENSO and Toshiba combine to develop Artificial Intelligence for advanced vehicle technology, modelled on the human brain.
An Artificial Intelligence technology which will support future autonomous driving features is in development following an agreement between DENSO and Toshiba corporations.
The AI technology, called Deep Neural Network (DNN) will be used in image recognition systems independently developed by the two companies to support the steady introduction of advanced driver assistance and autonomous driving technologies.
DNN is an algorithm modelled after the neural networks of the human brain, yet the joint-venture between the companies is hoping the technology will be able to perform image recognition processing to an even higher level.
The shift towards automated driving means automotive computers need to be able to comprehensively identify different road traffic situations, obstacles and road markings. However, in conventional image recognition using patterns and machine learning, objects must be individually characterised and extracted.
In DNN-based image recognition, a computer can extract and learn the characteristics of objects on its own, significantly improving the accuracy of detection and identification of a wide range of objects.
DNN technology has progressed rapidly over recent years, and the technology will be refined and implemented into smaller in-vehicle processors to provide additional support for automated driving systems.
With autonomous driving just around the corner, questions over safety are increasingly relevant for the automotive industry, and DENSO is developing technology to ensure manufacturers, drivers and pedestrians are protected as much as possible.
