Cal or No Cal? - Real-Time Miscalibration Detection of LiDAR and Camera Sensors - Ilir Tahiraj; Jeremialie Swadiryus; Felix Fent; Markus Lienkamp (CoRR, 2025)

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

GMMCalib: Extrinsic Calibration of LiDAR Sensors using GMM-based Joint Registration - Ilir Tahiraj; Felix Fent; Philipp Hafemann; Egon Ye; Markus Lienkamp (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, Abu Dhabi, United Arab Emirates, October 14-18, 2024, 2024)

MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse conditions - Felix Fent; Fabian Kuttenreich; Florian Ruch; Farija Rizwin; Stefan Juergens; Lorenz Lechermann; Christian Nissler; Andrea Perl; Ulrich Voll; Min Yan; Markus Lienkamp (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

DPFT: Dual Perspective Fusion Transformer for Camera-Radar-based Object Detection - Felix Fent; Andras Palffy; Holger Caesar (CoRR, 2024)

GMMCalib: Extrinsic Calibration of LiDAR Sensors using GMM-based Joint Registration - Ilir Tahiraj; Felix Fent; Philipp Hafemann; Egon Ye; Markus Lienkamp (CoRR, 2024)

MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse conditions - Felix Fent; Fabian Kuttenreich; Florian Ruch; Farija Rizwin; Stefan Juergens; Lorenz Lechermann; Christian Nissler; Andrea Perl; Ulrich Voll; Min Yan; Markus Lienkamp (CoRR, 2024)

SpaRC: Sparse Radar-Camera Fusion for 3D Object Detection - Philipp Wolters; Johannes Gilg; Torben Teepe; Fabian Herzog; Felix Fent; Gerhard Rigoll (CoRR, 2024)

Learn to See Fast: Lessons Learned From Autonomous Racing on How to Develop Perception Systems - Florian Sauerbeck; Sebastian Huch; Felix Fent; Phillip Karle; Dominik Kulmer; Johannes Betz (IEEE Access, 2023)

TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge - Johannes Betz; Tobias Betz; Felix Fent; Maximilian Geisslinger; Alexander Heilmeier; Leonhard Hermansdorfer; Thomas Herrmann; Sebastian Huch; Phillip Karle; Markus Lienkamp; Boris Lohmann; Felix Nobis; et al. (J. Field Robotics, 2023)

Multi-Modal Sensor Fusion and Object Tracking for Autonomous Racing - Phillip Karle; Felix Fent; Sebastian Huch; Florian Sauerbeck; Markus Lienkamp (IEEE Trans. Intell. Veh., 2023)

RadarGNN: Transformation Invariant Graph Neural Network for Radar-based Perception - Felix Fent; Philipp Bauerschmidt; Markus Lienkamp (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023 - Workshops, Vancouver, BC, Canada, June 17-24, 2023, 2023)

RadarGNN: Transformation Invariant Graph Neural Network for Radar-based Perception - Felix Fent; Philipp Bauerschmidt; Markus Lienkamp (CoRR, 2023)

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)

Multi-Modal Sensor Fusion and Object Tracking for Autonomous Racing - Phillip Karle; Felix Fent; Sebastian Huch; Florian Sauerbeck; Markus Lienkamp (CoRR, 2023)

Indy Autonomous Challenge - Autonomous Race Cars at the Handling Limits - Alexander Wischnewski; Maximilian Geisslinger; Johannes Betz; Tobias Betz; Felix Fent; Alexander Heilmeier; Leonhard Hermansdorfer; Thomas Herrmann; Sebastian Huch; Phillip Karle; Felix Nobis; Levent Ögretmen; et al. (CoRR, 2022)

TUM Autonomous Motorsport: An Autonomous Racing Software for the Indy Autonomous Challenge - Johannes Betz; Tobias Betz; Felix Fent; Maximilian Geisslinger; Alexander Heilmeier; Leonhard Hermansdorfer; Thomas Herrmann; Sebastian Huch; Phillip Karle; Markus Lienkamp; Boris Lohmann; Felix Nobis; et al. (CoRR, 2022)