1) E-GNSS POSITIONING
From the perspective of positioning, this project is to develop a key enabling technology to leverage EGNSS for automated manoeuvres and safety critical decisions in automotive applications. This will be done by a combination of low level probabilistic signal processing algorithms within a software defined GNSS receiver, in combination with advanced high level data fusion approaches, in order to derive a confidence estimate that is able to meet any safety requirements in urban areas.
InDrive condenses probabilistic GNSS signal tracking algorithms for software defined receivers and gives an extension towards the explicit integration of multiple received signals. This will be done by explicitly utilizing the benefits of Galileo signal in space properties.
2) FRAMEWORK OF AUTOMATED DRIVING
The National Highway Traffic Safety Administration (NHTSA) has defined five levels of vehicle automation. InDrive will work with L2 and L3 automation. Main expected progresses from the project are the level of accuracy in positioning in urban areas that can be obtained with mass market receivers and the level of accuracy in the understanding of the obtained level of accuracy. In fact, for commercial use of ADAS and autonomous systems in urban scenarios it is important to obtain a good level of accuracy in position with low cost receivers that can be adopted for commercial applications and to know the level of accuracy in position that can be achieved.
3) GNSS SOFTWARE RECEIVER
The InDrive architecture proposes the use of a software receiver to feed the Bayesian filter with all the necessary information in real-time, exploiting the intrinsic flexibility offered by the software architecture.
In modern communications, the flexibility is a key point in the implementation of receivers because it eases the development of new products and the introduction of new features in already existing ones. In the silicon-based products the extra cost associated to the introduction of a new functionality is mainly due to the development process rather than the extra silicon and components. On the other hand, full reconfigurability can be obtained far more cheaply through a software based implementation: the well-known Software-Defined-Radio (SDR) approach.
4) VANETS FOR COOPERATIVE DRIVING FOR VRUS’ SAFETY
It has already been demonstrated that it is possible that a car can even drive autonomously on its own, with no connections to a controller, or to the other vehicle . On the other hand, the availability of a VANET network might simplify the work and widen the impact - thus it would be a waste not to use them.
InDrive proposes to use VANET for:
• Including all the information detected by InDrive architecture within the electronic horizon.
• For VRUs: the information can be generated on board and not by any future transceivers customized for VRUs. This means using VANETs for VRUs y rather than creating new VANETs to cope with VRUs.
