DENSO and Toshiba agree to develop AI Technology
On October 17, DENSO Corporation and Toshiba Corporation reached a basic agreement to jointly develop an artificial intelligence technology called Deep Neural Network-Intellectual Property (DNN-IP), which will be used in image recognition systems which have been independently developed by the two companies to help achieve advanced driver assistance and automated driving technologies.
DNN, an algorithm modeled 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 recognized by computers must be characterized and extracted in advance.
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 flexibly extendable to various network configurations. They will also make the technology able to be implemented on in-vehicle processors that are smaller, consume less power, and feature other optimizations.
For the full press release, please click here.
Source: DENSO Corporation
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In: CLEPA News, Connectivity & Automation, Growth & Competitiveness