A V2X-based Privacy Preserving Federated Measuring and Learning System. (arXiv:2401.13848v1 [cs.LG])

Future autonomous vehicles (AVs) will use a variety of sensors that generate
a vast amount of data. Naturally, this data not only serves self-driving
algorithms; but can also assist other vehicles or the infrastructure in
real-time decision-making. Consequently, vehicles shall exchange their
measurement data over Vehicle-to-Everything (V2X) technologies. Moreover,
predicting the state of the road network might be beneficial too. With such a
prediction, we might mitigate road congestion, balance parking lot usage, or
optimize the traffic flow. That would …

algorithms arxiv autonomous autonomous vehicles can data decision driving everything exchange federated future infrastructure making measurement measuring privacy privacy preserving real self-driving sensors system technologies vast vehicle vehicles