Hidde J.-H. Boekema — accepted AI-conference papers

2025

Road User Specific Trajectory Prediction in Mixed Traffic Using Map Data

Hidde J.-H. Boekema, Emran Yasser Moustafa, Julian F. P. Kooij, Dariu M. Gavrila

RA-L 2025

This paper studies road user trajectory prediction in mixed traffic, i.e. where vehicles and Vulnerable Road Users (VRUs, i.e. pedestrians, cyclists and other riders) closely share a common road space. We investigate if typical prediction components (scene graph representation, scene encoding, waypo

Cited by 1 Source ↗Scholar ↗

2024

Multi-Class Trajectory Prediction in Urban Traffic Using the View-of-Delft Prediction Dataset

Hidde J.-H. Boekema, Bruno K. W. Martens, Julian F. P. Kooij, Dariu M. Gavrila

RA-L 2024

This paper presents View-of-Delft Prediction, a new dataset for trajectory prediction, to address the lack of on-board trajectory datasets in urban mixed-traffic environments. View-of-Delft Prediction builds on the recently released urban View-of-Delft (VoD) dataset to make it suitable for trajector

Cited by 7 Source ↗Scholar ↗