Embedded Augmented Reality

Mobile terminals and industrial premises for embedded augmented reality

The arrival of smartphones and tablets has seen the emergence of mobile platforms over-equipped with sensors, open to the development of applications of all kinds - playful, educational, social, to list just the most widespread categories. In the first phase, this application revolution was, and still is, driven by the transfer of existing web content and IT services to mobile and connected devices. The new phase, which is now taking shape, is characterized by the development of completely new and highly innovative applications, exploiting the algorithmic wealth that computer science and computer engineering have produced over the last twenty years. AR augmented reality applications on smartphones are part of this new wave.

The advent of the automated and robotized vehicle has seen the development of localization, control and 3D perception of the external environment. Many automotive manufacturers and equipment suppliers have moved into new fields of application for the development of ADAS (Advanced Driving Assistance Systems), either in collaboration with public laboratories (INRIA, Mines de Paris, IFSTTAR), or through collaborations with start-ups and SMEs specializing in algorithm development (MobilEye).

Today's semiconductor industry is undergoing a major transformation. Traditionally focused on the production of electronic chips and boards, it has evolved towards the joint integration of sensors, signals and images, forming complex embedded systems. The next transformation of this industry would appear to be the integration of information processing algorithms and their consideration, right from the design phase, enabling embedded application developers to better select the appropriate hardware architecture and sensors.

Now that artificial perception of the environment has matured, the question now arises of how to accurately render information from the vehicle's on-board perception to the driver, and how to merge it with human vision. This is one of the major technological challenges facing the industry in the future.