Evaluating Pedestrian Trajectory Prediction Methods for the Application in Autonomous Driving. - Nico Uhlemann; Felix Fent; Markus Lienkamp (CoRR, 2023)

EDGAR: An Autonomous Driving Research Platform - From Feature Development to Real-World Application. - Phillip Karle; Tobias Betz; Marcin Bosk; Felix Fent; Nils Gehrke; Maximilian Geisslinger; Luis Gressenbuch; Philipp Hafemann; Sebastian Huber; Maximilian Hübner; Sebastian Huch; Gemb Kaljavesi; et al. (CoRR, 2023)

Evaluating Pedestrian Trajectory Prediction Methods With Respect to Autonomous Driving. - Nico Uhlemann; Felix Fent; Markus Lienkamp (IEEE Trans. Intell. Transp. Syst., 2024)

V3LMA: Visual 3D-enhanced Language Model for Autonomous Driving. - Jannik Lübberstedt; Esteban Rivera; Nico Uhlemann; Markus Lienkamp (CVPR Workshops, 2025)

Exploring Shared Gaussian Occupancies for Tracking-Free, Scene-Centric Pedestrian Motion Prediction in Autonomous Driving. - Nico Uhlemann; Melina Wördehoff; Markus Lienkamp (VEHITS, 2025)

Scenario Understanding of Traffic Scenes Through Large Visual Language Models. - Esteban Rivera; Jannik Lübberstedt; Nico Uhlemann; Markus Lienkamp (WACV (Workshops), 2025)

Snapshot: Towards Application-Centered Models for Pedestrian Trajectory Prediction in Urban Traffic Environments. - Nico Uhlemann; Yipeng Zhou; Tobias Simeon Mohr; Markus Lienkamp (WACV (Workshops), 2025)

Anticipating Pedestrian Behavior in Urban Traffic: An Applicable Approach for Real-World Autonomous Driving [Its Ph.D.s]. - Ziran Wang; Nico Uhlemann (IEEE Intell. Transp. Syst. Mag., 2025)