To develop a predictive system for potential actions over a short time horizon using bottom-up visual features and top-down probabilistic models.
This project focuses on event recognition for pedestrians and vehicles, in particular, the prediction of pedestrian’s road crossing intention. Currently, progress has been made in developing a pipeline for processing the dataset, by which algorithms have been implemented to predict two classes of labelling
(crossing vs not crossing) as well as to predict the future position of the pedestrian one second ahead. Going forwards, the algorithm is to be further extended to intention prediction of multiple interacting pedestrians and the result is expected to be improved through analysis of the extracted feature of the target as well as the description of the background scene.
The working principle of the Prediction of pedestrian's predictive system. road crossing intention
|Associate Prof. Yuan Junsong (NTU)
Telephone: 6790 4016