Estimating landing time based on historical data: Aerlabs

This report is a document that presents the project Estimating landing time based on historical data. We want to succeed in designing and implementing a system based on requirements posed by our client AerLabs. The main goal we are researching is whether we can accurately predict the landing time and runway<br/>of arriving flights at Amsterdam...

HiPSS-LSTM: A Hierarchical Probabilistic LSTM model for motion forecasting

When driving a car, people can usually predict the intention of other road users with high confidence. They can spot small variations in a recent trajectory, take into account road infrastructure, traffic rules and other factors, which influence a future trajectory. As a result, they can interact with other drivers smoothly and safely. Even...