DENSO Corporation and Toshiba Corporation have reached a basic agreement to jointly develop an artificial intelligence technology called Deep Neural Network-Intellectual Property (DNN-IP).
The technology will be used in image recognition systems independently developed by the two companies to help achieve advanced driver assistance and automated driving technologies.
DNN, an algorithm modelled after the neural networks of the human brain, is expected to perform recognition processing as accurately as, or even better than the human brain.
To achieve automated driving, automotive computers need to be able to identify different road traffic situations including a variety of obstacles and road markings, availability of road space for driving, and potentially dangerous situations. In image recognition based on conventional pattern recognition and machine learning, objects that need to be recognised by computers must be characterised and extracted in advance.
Upper: Actual traffic situation Lower: Identified objects using DNN-IP
In DNN-based image recognition, computers can extract and learn the characteristics of objects on their own, thus significantly improving the accuracy of detection and identification of a wide range of objects.
Because of the rapid progress in DNN technology, the two companies plan to make the technology extendable to various network configurations. The technology will also be implemented on smaller in-vehicle processors that consume less power and feature other optimisations.