Abstract: The prediction system for predicting an information related to a pedestrian has a tracking module that detects and tracks in real-time a pedestrian in an operating area, from sensor data; a machine-learning prediction module that performs a prediction of information at future times related to the tracked pedestrian using a machine-learning algorithm from input data including data of the tracked pedestrian transmitted by the tracking module and map data of the operating area; a pedestrian behavior assessment module that determines additional data of the tracked pedestrian representative of a real time behavior of the pedestrian, and said additional data of the tracked pedestrian is used by the machine-learning prediction module as another input data to perform the prediction.

Abstract: The present disclosure relates to methods, devices, and computer programs for determining a change in a position and/or orientation of a mobile apparatus. In an aspect, described is a method of determining a change in a position and/or orientation of a mobile apparatus that includes: acquiring a first data stream indicating a first estimated change in at least one of a position or an orientation of the mobile apparatus in respective ones of a plurality of time frames; acquiring a second data stream indicating a second estimated change in the at least one of the position or the orientation of the mobile apparatus in the respective ones of the plurality of time frames; and determining a change in the at least one of the position or the orientation of the mobile apparatus using the first estimated change or the second estimated change.