What stands RELEVANCE for?
Real-time Wireless Communication Region Prediction for Vehicles
What type of project is RELEVANCE?
RELEVANCE is an industrial research project funded by the FFG under project number 881701 in the call “6th Call for Austrian-Chinese Coop. RTD Projects FFG & CAS“.
What is researched in RELEVANCE?
Future vehicles will cooperate via wireless networking to improve safety and reliability of road traffic. Each vehicle establishes a local view by means of its own sensors that will be extended by sensor data, object positions and traffic information received by wireless communications from other road users.
The reliable communication range for this data exchange varies largely depending on the local environment of the vehicle and is currently unknown to the vehicles local advanced driver assistant (ADAS) and automated driving (AD) algorithms.
RELEVANCE aims to solve this uncertainty enabling a vehicle to predict the reliable communication region in real-time as well as use this information for verification and validation (V&V) already during the development phase.
We will
- investigate the real-time prediction of the reliable wireless communication region using deep neural network methods,
- provide an open dataset such that other groups can compete with our results,
- develop a high-performance open-source computing reference framework to investigate supervised deep learning methods.