A Hybrid Framework for Multi-Pedestrian Intention Prediction in Autonomous Driving Environments
| PhD student | Ali Dehghani |
|---|---|
| Duration | - 2028-07-20 |
| Scientific supervisors HS-Coburg | Prof. Dr. Klaus Stefan Drese und Prof. Dr. Lucila Patiño Studencki |
| Institutions |
Hochschule Coburg Promotionszentrum Nachhaltige und Intelligente Systeme (NISys) Fakultät Maschinenbau und Automobiltechnik (FMA) |
| Scientific supervisor (extern) |
Abstract
The aim of this doctoral project is to develop methods for early and interpretable detection of pedestrian intentions in urban autonomous-driving scenarios. By fusing classical multi-target tracking with learning-based predictors, the research seeks to improve situational awareness, anticipate risk sooner, and quantify the resulting gains in ride comfort and collision avoidance.