DREAM

Driving Aids powered by E-GNSS and machine learning

The aim of the DREAM project (Driving-aids powered by E-GNSS, AI & Machine Learning) is to design, build and demonstrate a HW- and SW-prototype in an operational environment. This will utilise the unique differentiators of Galileo, such as the High Accuracy Service and innovative artificial intelligence/machine learning techniques.

The target application of this HW and SW prototype is “Driving aids for buses”. The applications aim to support the driver in driving safely by providing him with safety-relevant information based not only on the vehicle position and dynamics, but also on the environment. Specifically, the aim is to provide highly accurate and reliable information that warns the driver, for example, about running a red light, speeding, avoiding collisions/accidents or driving the wrong way.

This means that the ultimate goal is not to develop the ADAS system itself, but to provide the necessary position-, speed-, attitude- and environment-related information to support these types of applications.

The task of ANavS is to increase the reliability of GNSS positioning and maintain accuracy even in times when the GNSS signal is lost. In addition, the surrounding objects must be localised and the necessary measures taken to avoid collisions and accidents.