In the past few years, automotive and technology companies have made major progress
towards the real-world deployment of autonomous driving technologies. A few companies …

Deep probabilistic forecasting is gaining attention across numerous applications. From
weather prognosis, electricity consumption estimation, traffic flow prediction, to autonomous …

KISSaF is a publicly funded project with four project partners from industry and academia.
The aim of project KISSaF is the development of a robust scene prediction model for …

With the rapid development of artificial intelligence technology, the deep learning method
has been introduced for vehicle trajectory prediction in the internet of vehicles, since it …

Predicting the mobility pattern of vehicles, encompassing the interaction between
surrounding traffic objects is one of the most critical tasks in autonomous driving systems …